The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategh Approach with Dynamic Planning. - Eric Nyberg; Teruko Mitamura; James P. Callan; Jaime G. Carbonell; Robert E. Frederking; Kevyn Collins-Thompson; Laurie Hiyakumoto; Yifen Huang; Curtis Huttenhower; Scott Judy; Jeongwoo Ko; Anna Kupsc; et al. (TREC, 2003)

Pronominal Anaphora Resolution for Unrestricted Text. - Anna Kupsc; Teruko Mitamura; Benjamin Van Durme; Eric Nyberg (LREC, 2004)

The role of documents vs. queries in extracting class attributes from text. - Marius Pasca; Benjamin Van Durme; Nikesh Garera (CIKM, 2007)

What You Seek Is What You Get: Extraction of Class Attributes from Query Logs. - Marius Pasca; Benjamin Van Durme (IJCAI, 2007)

Finding Cars, Goddesses and Enzymes: Parametrizable Acquisition of Labeled Instances for Open-Domain Information Extraction. - Benjamin Van Durme; Marius Pasca (AAAI, 2008)

Open Knowledge Extraction through Compositional Language Processing. - Benjamin Van Durme; Lenhart K. Schubert (STEP, 2008)

Mining Parenthetical Translations from the Web by Word Alignment. - Dekang Lin; Shaojun Zhao; Benjamin Van Durme; Marius Pasca (ACL, 2008)

Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs. - Marius Pasca; Benjamin Van Durme (ACL, 2008)

Class-Driven Attribute Extraction. - Benjamin Van Durme; Ting Qian; Lenhart K. Schubert (COLING, 2008)

Deriving Generalized Knowledge from Corpora Using WordNet Abstraction. - Benjamin Van Durme; Phillip Michalak; Lenhart K. Schubert (EACL, 2009)

Probabilistic Counting with Randomized Storage. - Benjamin Van Durme; Ashwin Lall (IJCAI, 2009)

Weblogs as a source for extracting general world knowledge. - Jonathan Gordon 001; Benjamin Van Durme; Lenhart K. Schubert (K-CAP, 2009)

Building a Semantic Lexicon of English Nouns via Bootstrapping. - Ting Qian; Benjamin Van Durme; Lenhart K. Schubert (HLT-NAACL (Student Research Workshop and Doctoral Consortium), 2009)

Streaming Pointwise Mutual Information. - Benjamin Van Durme; Ashwin Lall (NIPS, 2009)

Learning from the Web: Extracting General World Knowledge from Noisy Text. - Jonathan Gordon 001; Benjamin Van Durme; Lenhart K. Schubert (Collaboratively-Built Knowledge Sources and AI, 2010)

Organizing Committee. - Catherine Havasi; Douglas B. Lenat; Benjamin Van Durme (AAAI Fall Symposium: Commonsense Knowledge, 2010)

Preface. - Catherine Havasi; Douglas B. Lenat; Benjamin Van Durme (AAAI Fall Symposium: Commonsense Knowledge, 2010)

Entailment Inference in a Natural Logic-like General Reasoner. - Lenhart K. Schubert; Benjamin David Van Durme; Marzieh Bazrafshan (AAAI Fall Symposium: Commonsense Knowledge, 2010)

Online Generation of Locality Sensitive Hash Signatures. - Benjamin Van Durme; Ashwin Lall (ACL (2), 2010)

Evaluation of Commonsense Knowledge with Mechanical Turk. - Jonathan Gordon 001; Benjamin Van Durme; Lenhart K. Schubert (Mturk@HLT-NAACL, 2010)

Reranking Bilingually Extracted Paraphrases Using Monolingual Distributional Similarity. - Tsz Ping Chan; Chris Callison-Burch; Benjamin Van Durme (GEMS, 2011)

Efficient Online Locality Sensitive Hashing via Reservoir Counting. - Benjamin Van Durme; Ashwin Lall (ACL (2), 2011)

Paraphrastic Sentence Compression with a Character-based Metric: Tightening without Deletion. - Courtney Napoles; Chris Callison-Burch; Juri Ganitkevitch; Benjamin Van Durme (Monolingual@ACL, 2011)

Evaluating Sentence Compression: Pitfalls and Suggested Remedies. - Courtney Napoles; Benjamin Van Durme; Chris Callison-Burch (Monolingual@ACL, 2011)

Efficient spoken term discovery using randomized algorithms. - Aren Jansen; Benjamin Van Durme (ASRU, 2011)

Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation. - Juri Ganitkevitch; Chris Callison-Burch; Courtney Napoles; Benjamin Van Durme (EMNLP, 2011)

Learning Bilingual Lexicons Using the Visual Similarity of Labeled Web Images. - Shane Bergsma; Benjamin Van Durme (IJCAI, 2011)

Nonparametric Bayesian Word Sense Induction. - Xuchen Yao; Benjamin Van Durme (Graph-based Methods for Natural Language Processing, 2011)

Reports of the AAAI 2010 Fall Symposia. - Roger Azevedo; Gautam Biswas; Dan Bohus; Ted Carmichael; Mark A. Finlayson; Mirsad Hadzikadic; Catherine Havasi; Eric Horvitz; Takayuki Kanda 001; Oluwasanmi Koyejo; William F. Lawless; Douglas B. Lenat; et al. (AI Mag., 2011)

Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing. - Vinodkumar Prabhakaran; Michael Bloodgood; Mona T. Diab; Bonnie J. Dorr; Lori S. Levin; Christine D. Piatko; Owen Rambow; Benjamin Van Durme (ExProM@ACL, 2012)

Judging Grammaticality with Count-Induced Tree Substitution Grammars. - Francis Ferraro; Matt Post; Benjamin Van Durme (BEA@NAACL-HLT, 2012)

Streaming Analysis of Discourse Participants. - Benjamin Van Durme (EMNLP-CoNLL, 2012)

Indexing Raw Acoustic Features for Scalable Zero Resource Search. - Aren Jansen; Benjamin Van Durme (INTERSPEECH, 2012)

The JHU-HLTCOE Spoken Web Search System for MediaEval 2012. - Aren Jansen; Benjamin Van Durme; Pascal Clark (MediaEval, 2012)

Shared Components Topic Models. - Matthew R. Gormley; Mark Dredze; Benjamin Van Durme; Jason Eisner (HLT-NAACL, 2012)

Space Efficiencies in Discourse Modeling via Conditional Random Sampling. - Brian Kjersten; Benjamin Van Durme (HLT-NAACL, 2012)

Annotated Gigaword. - Courtney Napoles; Matthew Gormley 001; Benjamin Van Durme (AKBC-WEKEX@NAACL-HLT, 2012)

Expectations of Word Sense in Parallel Corpora. - Xuchen Yao; Benjamin Van Durme; Chris Callison-Burch (HLT-NAACL, 2012)

Monolingual Distributional Similarity for Text-to-Text Generation. - Juri Ganitkevitch; Benjamin Van Durme; Chris Callison-Burch (*SEM@NAACL-HLT, 2012)

Using Conceptual Class Attributes to Characterize Social Media Users. - Shane Bergsma; Benjamin Van Durme (ACL (1), 2013)

PARMA: A Predicate Argument Aligner. - Travis Wolfe; Benjamin Van Durme; Mark Dredze; Nicholas Andrews; Charley Beller; Chris Callison-Burch; Jay DeYoung; Justin Snyder; Jonathan Weese; Tan Xu; Xuchen Yao (ACL (2), 2013)

Automatic Coupling of Answer Extraction and Information Retrieval. - Xuchen Yao; Benjamin Van Durme; Peter Clark (ACL (2), 2013)

A Lightweight and High Performance Monolingual Word Aligner. - Xuchen Yao; Benjamin Van Durme; Chris Callison-Burch; Peter Clark (ACL (2), 2013)

Reporting bias and knowledge acquisition. - Jonathan Gordon 001; Benjamin Van Durme (AKBC@CIKM, 2013)

Open Domain Targeted Sentiment. - Margaret Mitchell; Jacqui Aguilar; Theresa Wilson; Benjamin Van Durme (EMNLP, 2013)

Semi-Markov Phrase-Based Monolingual Alignment. - Xuchen Yao; Benjamin Van Durme; Chris Callison-Burch; Peter Clark (EMNLP, 2013)

Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter. - Shane Bergsma; Mark Dredze; Benjamin Van Durme; Theresa Wilson; David Yarowsky (HLT-NAACL, 2013)

PPDB: The Paraphrase Database. - Juri Ganitkevitch; Benjamin Van Durme; Chris Callison-Burch (HLT-NAACL, 2013)

Answer Extraction as Sequence Tagging with Tree Edit Distance. - Xuchen Yao; Benjamin Van Durme; Chris Callison-Burch; Peter Clark (HLT-NAACL, 2013)

Predicting Fine-grained Social Roles with Selectional Preferences. - Charley Beller; Craig Harman; Benjamin Van Durme (LTCSS@ACL, 2014)

I'm a Belieber: Social Roles via Self-identification and Conceptual Attributes. - Charley Beller; Rebecca Knowles; Craig Harman; Shane Bergsma; Margaret Mitchell; Benjamin Van Durme (ACL (2), 2014)

Biases in Predicting the Human Language Model. - Alex B. Fine; Austin F. Frank; T. Florian Jaeger; Benjamin Van Durme (ACL (2), 2014)

Low-Resource Semantic Role Labeling. - Matthew R. Gormley; Margaret Mitchell; Benjamin Van Durme; Mark Dredze (ACL (1), 2014)

Particle Filter Rejuvenation and Latent Dirichlet Allocation. - Chandler May; Alex Clemmer; Benjamin Van Durme (ACL (2), 2014)

Exponential Reservoir Sampling for Streaming Language Models. - Miles Osborne; Ashwin Lall; Benjamin Van Durme (ACL (2), 2014)

Inferring User Political Preferences from Streaming Communications. - Svitlana Volkova; Glen Coppersmith; Benjamin Van Durme (ACL (1), 2014)

Information Extraction over Structured Data: Question Answering with Freebase. - Xuchen Yao; Benjamin Van Durme (ACL (1), 2014)

A Comparison of the Events and Relations Across ACE, ERE, TAC-KBP, and FrameNet Annotation Standards. - Jacqueline Aguilar; Charley Beller; Paul McNamee; Benjamin Van Durme; Stephanie M. Strassel; Zhiyi Song; Joe Ellis (EVENTS@ACL, 2014)

Augmenting FrameNet Via PPDB. - Pushpendre Rastogi; Benjamin Van Durme (EVENTS@ACL, 2014)

Is the Stanford Dependency Representation Semantic? - Rachel Rudinger; Benjamin Van Durme (EVENTS@ACL, 2014)

A Wikipedia-based Corpus for Contextualized Machine Translation. - Jennifer Drexler; Pushpendre Rastogi; Jacqueline Aguilar; Benjamin Van Durme; Matt Post (LREC, 2014)

Efficient Elicitation of Annotations for Human Evaluation of Machine Translation. - Keisuke Sakaguchi; Matt Post; Benjamin Van Durme (WMT@ACL, 2014)

Online Bayesian Models for Personal Analytics in Social Media. - Svitlana Volkova; Benjamin Van Durme (AAAI, 2015)

Adding Semantics to Data-Driven Paraphrasing. - Ellie Pavlick; Johan Bos; Malvina Nissim; Charley Beller; Benjamin Van Durme; Chris Callison-Burch (ACL (1), 2015)

Domain-Specific Paraphrase Extraction. - Ellie Pavlick; Juri Ganitkevitch; Tsz Ping Chan; Xuchen Yao; Benjamin Van Durme; Chris Callison-Burch (ACL (2), 2015)

PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification. - Ellie Pavlick; Pushpendre Rastogi; Juri Ganitkevitch; Benjamin Van Durme; Chris Callison-Burch (ACL (2), 2015)

FrameNet+: Fast Paraphrastic Tripling of FrameNet. - Ellie Pavlick; Travis Wolfe; Pushpendre Rastogi; Chris Callison-Burch; Mark Dredze; Benjamin Van Durme (ACL (2), 2015)

Topic Identification and Discovery on Text and Speech. - Chandler May; Francis Ferraro; Alan McCree; Jonathan Wintrode; Daniel Garcia-Romero; Benjamin Van Durme (EMNLP, 2015)

Script Induction as Language Modeling. - Rachel Rudinger; Pushpendre Rastogi; Francis Ferraro; Benjamin Van Durme (EMNLP, 2015)

Segmental acoustic indexing for zero resource keyword search. - Keith D. Levin; Aren Jansen; Benjamin Van Durme (ICASSP, 2015)

A Concrete Chinese NLP Pipeline. - Nanyun Peng 001; Francis Ferraro; Mo Yu; Nicholas Andrews; Jay DeYoung; Max Thomas; Matthew R. Gormley; Travis Wolfe; Craig Harman; Benjamin Van Durme; Mark Dredze (HLT-NAACL, 2015)

Multiview LSA: Representation Learning via Generalized CCA. - Pushpendre Rastogi; Benjamin Van Durme; Raman Arora (HLT-NAACL, 2015)

Social Media Predictive Analytics. - Svitlana Volkova; Benjamin Van Durme; David Yarowsky; Yoram Bachrach (HLT-NAACL, 2015)

Predicate Argument Alignment using a Global Coherence Model. - Travis Wolfe; Mark Dredze; Benjamin Van Durme (HLT-NAACL, 2015)

Learning to predict script events from domain-specific text. - Rachel Rudinger; Vera Demberg; Ashutosh Modi; Benjamin Van Durme; Manfred Pinkal (*SEM@NAACL-HLT, 2015)

Sublinear Partition Estimation. - Pushpendre Rastogi; Benjamin Van Durme (CoRR, 2015)

Interactive Knowledge Base Population. - Travis Wolfe; Mark Dredze; James Mayfield; Paul McNamee; Craig Harman; Tim Finin; Benjamin Van Durme (CoRR, 2015)

Semantic Proto-Roles. - Dee Ann Reisinger; Rachel Rudinger; Francis Ferraro; Craig Harman; Kyle Rawlins; Benjamin Van Durme (Trans. Assoc. Comput. Linguistics, 2015)

A Unified Bayesian Model of Scripts, Frames and Language. - Francis Ferraro; Benjamin Van Durme (AAAI, 2016)

Microsummarization of Online Reviews: An Experimental Study. - Rebecca Mason; Benjamin Gaska; Benjamin Van Durme; Pallavi Choudhury; Ted Hart; Bill Dolan; Kristina Toutanova; Margaret Mitchell (AAAI, 2016)

Mining User Interests to Predict Perceived Psycho-Demographic Traits on Twitter. - Svitlana Volkova; Yoram Bachrach; Benjamin Van Durme (BigDataService, 2016)

Fluency detection on communication networks. - Tom Lippincott; Benjamin Van Durme (EMNLP, 2016)

Universal Decompositional Semantics on Universal Dependencies. - Aaron Steven White; Dee Ann Reisinger; Keisuke Sakaguchi; Tim Vieira; Sheng Zhang 012; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (EMNLP, 2016)

A Study of Imitation Learning Methods for Semantic Role Labeling. - Travis Wolfe; Mark Dredze; Benjamin Van Durme (SPNLP@EMNLP, 2016)

Contrasting Public Opinion Dynamics and Emotional Response During Crisis. - Svitlana Volkova; Ilia Chetviorkin; Dustin Arendt; Benjamin Van Durme (SocInfo (1), 2016)

Discriminative Information Retrieval for Knowledge Discovery. - Tongfei Chen; Benjamin Van Durme (CoRR, 2016)

Analysis of Morphology in Topic Modeling. - Chandler May; Ryan Cotterell; Benjamin Van Durme (CoRR, 2016)

A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations. - Pushpendre Rastogi; Benjamin Van Durme (CoRR, 2016)

Computational linking theory. - Aaron Steven White; Dee Ann Reisinger; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (CoRR, 2016)

Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network. - Keisuke Sakaguchi; Kevin Duh; Matt Post; Benjamin Van Durme (AAAI, 2017)

Semantic Proto-Role Labeling. - Adam R. Teichert; Adam Poliak; Benjamin Van Durme; Matthew Gormley 001 (AAAI, 2017)

Bayesian Modeling of Lexical Resources for Low-Resource Settings. - Nicholas Andrews; Mark Dredze; Benjamin Van Durme; Jason Eisner (ACL (1), 2017)

Error-repair Dependency Parsing for Ungrammatical Texts. - Keisuke Sakaguchi; Matt Post; Benjamin Van Durme (ACL (2), 2017)

Pocket Knowledge Base Population. - Travis Wolfe; Mark Dredze; Benjamin Van Durme (ACL (2), 2017)

MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. - Sheng Zhang 012; Kevin Duh; Benjamin Van Durme (EACL (2), 2017)

Discriminative Information Retrieval for Question Answering Sentence Selection. - Tongfei Chen; Benjamin Van Durme (EACL (2), 2017)

Efficient, Compositional, Order-sensitive n-gram Embeddings. - Adam Poliak; Pushpendre Rastogi; M. Patrick Martin; Benjamin Van Durme (EACL (2), 2017)

The Semantic Proto-Role Linking Model. - Aaron Steven White; Kyle Rawlins; Benjamin Van Durme (EACL (2), 2017)

Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. - Ryan Cotterell; Adam Poliak; Benjamin Van Durme; Jason Eisner (EACL (2), 2017)

Social Bias in Elicited Natural Language Inferences. - Rachel Rudinger; Chandler May; Benjamin Van Durme (EthNLP@EACL, 2017)

CADET: Computer Assisted Discovery Extraction and Translation. - Benjamin Van Durme; Tom Lippincott; Kevin Duh; Deana Burchfield; Adam Poliak; Cash Costello; Tim Finin; Scott Miller; James Mayfield; Philipp Koehn; Craig Harman; Dawn J. Lawrie; et al. (IJCNLP (System Demonstrations), 2017)

Grammatical Error Correction with Neural Reinforcement Learning. - Keisuke Sakaguchi; Matt Post; Benjamin Van Durme (IJCNLP(2), 2017)

Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. - Aaron Steven White; Pushpendre Rastogi; Kevin Duh; Benjamin Van Durme (IJCNLP(1), 2017)

Selective Decoding for Cross-lingual Open Information Extraction. - Sheng Zhang 012; Kevin Duh; Benjamin Van Durme (IJCNLP(1), 2017)

Skip-Prop: Representing Sentences with One Vector Per Proposition. - Rachel Rudinger; Kevin Duh; Benjamin Van Durme (IWCS(2), 2017)

An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. - Sheng Zhang 012; Rachel Rudinger; Benjamin Van Durme (IWCS(2), 2017)

Predicting Asymmetric Transitive Relations in Knowledge Bases. - Pushpendre Rastogi; Benjamin Van Durme (KG4IR@SIGIR, 2017)

Training Relation Embeddings under Logical Constraints. - Pushpendre Rastogi; Adam Poliak; Benjamin Van Durme (KG4IR@SIGIR, 2017)

Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. - Francis Ferraro; Adam Poliak; Ryan Cotterell; Benjamin Van Durme (*SEM, 2017)

TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. - Mohamed Al-Badrashiny; Jason Bolton; Arun Tejasvi Chaganty; Kevin Clark; Craig Harman; Lifu Huang; Matthew Lamm; Jinhao Lei; Di Lu 003; Xiaoman Pan; Ashwin Paranjape; Ellie Pavlick; et al. (TAC, 2017)

Streaming Word Embeddings with the Space-Saving Algorithm. - Chandler May; Kevin Duh; Benjamin Van Durme; Ashwin Lall (CoRR, 2017)

Feature Generation for Robust Semantic Role Labeling. - Travis Wolfe; Mark Dredze; Benjamin Van Durme (CoRR, 2017)

Ordinal Common-sense Inference. - Sheng Zhang 012; Rachel Rudinger; Kevin Duh; Benjamin Van Durme (Trans. Assoc. Comput. Linguistics, 2017)

Efficient Online Scalar Annotation with Bounded Support. - Keisuke Sakaguchi; Benjamin Van Durme (ACL (1), 2018)

Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. - Adam Poliak; Aparajita Haldar; Rachel Rudinger; J. Edward Hu; Ellie Pavlick; Aaron Steven White; Benjamin Van Durme (BlackboxNLP@EMNLP, 2018)

Neural-Davidsonian Semantic Proto-role Labeling. - Rachel Rudinger; Adam R. Teichert; Ryan Culkin; Sheng Zhang 012; Benjamin Van Durme (EMNLP, 2018)

Lexicosyntactic inference in neural models. - Aaron Steven White; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (EMNLP, 2018)

Cross-lingual Decompositional Semantic Parsing. - Sheng Zhang 012; Xutai Ma; Rachel Rudinger; Kevin Duh; Benjamin Van Durme (EMNLP, 2018)

On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference. - Adam Poliak; Yonatan Belinkov; James R. Glass; Benjamin Van Durme (NAACL-HLT (2), 2018)

Gender Bias in Coreference Resolution. - Rachel Rudinger; Jason Naradowsky; Brian Leonard; Benjamin Van Durme (NAACL-HLT (2), 2018)

Neural Models of Factuality. - Rachel Rudinger; Aaron Steven White; Benjamin Van Durme (NAACL-HLT, 2018)

Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages. - Michelle Yuan; Benjamin Van Durme; Jordan L. Ying (NeurIPS, 2018)

A Test Collection for Coreferent Mention Retrieval. - Rashmi Sankepally; Tongfei Chen; Benjamin Van Durme; Douglas W. Oard (SIGIR, 2018)

Summarizing Entities using Distantly Supervised Information Extractors. - Travis Wolfe; Annabelle Carrell; Mark Dredze; Benjamin Van Durme (ProfS/KG4IR/Data:Search@SIGIR, 2018)

Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. - Hongyuan Mei; Sheng Zhang 012; Kevin Duh; Benjamin Van Durme (*SEM@NAACL-HLT, 2018)

Hypothesis Only Baselines in Natural Language Inference. - Adam Poliak; Jason Naradowsky; Aparajita Haldar; Rachel Rudinger; Benjamin Van Durme (*SEM@NAACL-HLT, 2018)

Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. - Sheng Zhang 012; Kevin Duh; Benjamin Van Durme (*SEM@NAACL-HLT, 2018)

NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline. - Patrick Xia 002; Elias Stengel-Eskin; Tongfei Chen; Seth Ebner; Nils Holzenberger; Ryan Culkin; Pushpendre Rastogi; Xutai Ma; Benjamin Van Durme (TAC, 2018)

Cross-lingual Semantic Parsing. - Sheng Zhang 012; Kevin Duh; Benjamin Van Durme (CoRR, 2018)

Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. - Adam Poliak; Aparajita Haldar; Rachel Rudinger; J. Edward Hu; Ellie Pavlick; Aaron Steven White; Benjamin Van Durme (CoRR, 2018)

Predicting Argumenthood of English Preposition Phrases. - Najoung Kim; Kyle Rawlins; Benjamin Van Durme; Paul Smolensky (CoRR, 2018)

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. - Sheng Zhang 012; Xiaodong Liu 003; Jingjing Liu 001; Jianfeng Gao 001; Kevin Duh; Benjamin Van Durme (CoRR, 2018)

Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. - Samuel R. Bowman; Ellie Pavlick; Edouard Grave; Benjamin Van Durme; Alex Wang; Jan Hula; Patrick Xia 002; Raghavendra Pappagari; R. Thomas McCoy; Roma Patel; Najoung Kim; Ian Tenney; et al. (CoRR, 2018)

PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation. - J. Edward Hu; Rachel Rudinger; Matt Post; Benjamin Van Durme (AAAI, 2019)

Predicting the Argumenthood of English Prepositional Phrases. - Najoung Kim; Kyle Rawlins; Benjamin Van Durme; Paul Smolensky (AAAI, 2019)

Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning. - Seth Ebner; Felicity Wang; Benjamin Van Durme (DeepLo@EMNLP-IJCNLP, 2019)

Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. - Yonatan Belinkov; Adam Poliak; Stuart M. Shieber; Benjamin Van Durme; Alexander M. Rush (ACL (1), 2019)

Learning to Rank for Plausible Plausibility. - Zhongyang Li; Tongfei Chen; Benjamin Van Durme (ACL (1), 2019)

Fine-Grained Temporal Relation Extraction. - Siddharth Vashishtha; Benjamin Van Durme; Aaron Steven White (ACL (1), 2019)

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. - Alex Wang; Jan Hula; Patrick Xia 002; Raghavendra Pappagari; R. Thomas McCoy; Roma Patel; Najoung Kim; Ian Tenney; Yinghui Huang; Katherin Yu; Shuning Jin; Berlin Chen; et al. (ACL (1), 2019)

AMR Parsing as Sequence-to-Graph Transduction. - Sheng Zhang 012; Xutai Ma; Kevin Duh; Benjamin Van Durme (ACL (1), 2019)

Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. - J. Edward Hu; Abhinav Singh; Nils Holzenberger; Matt Post; Benjamin Van Durme (CoNLL, 2019)

A Discriminative Neural Model for Cross-Lingual Word Alignment. - Elias Stengel-Eskin; Tzu-Ray Su; Matt Post; Benjamin Van Durme (EMNLP/IJCNLP (1), 2019)

Broad-Coverage Semantic Parsing as Transduction. - Sheng Zhang 012; Xutai Ma; Kevin Duh; Benjamin Van Durme (EMNLP/IJCNLP (1), 2019)

What do you learn from context? Probing for sentence structure in contextualized word representations. - Ian Tenney; Patrick Xia 002; Berlin Chen; Alex Wang; Adam Poliak; R. Thomas McCoy; Najoung Kim; Benjamin Van Durme; Samuel R. Bowman; Dipanjan Das 001; Ellie Pavlick (ICLR (Poster), 2019)

Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting. - J. Edward Hu; Huda Khayrallah; Ryan Culkin; Patrick Xia 002; Tongfei Chen; Matt Post; Benjamin Van Durme (NAACL-HLT (1), 2019)

On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference. - Yonatan Belinkov; Adam Poliak; Stuart M. Shieber; Benjamin Van Durme; Alexander M. Rush (*SEM@NAACL-HLT, 2019)

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. - Najoung Kim; Roma Patel; Adam Poliak; Patrick Xia 002; Alex Wang; Tom McCoy 001; Ian Tenney; Alexis Ross; Tal Linzen; Benjamin Van Durme; Samuel R. Bowman; Ellie Pavlick (*SEM@NAACL-HLT, 2019)

NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. - Yunmo Chen; Seth Ebner; Tongfei Chen; Patrick Xia 002; Elias Stengel-Eskin; Tzu-Ray Su; J. Edward Hu; Nils Holzenberger; Ryan Culkin; Craig Harman; Max Thomas; Thomas Lippincott; et al. (TAC, 2019)

Uncertain Natural Language Inference. - Tongfei Chen; Zhengping Jiang; Keisuke Sakaguchi; Benjamin Van Durme (CoRR, 2019)

Exact and/or Fast Nearest Neighbors. - Matthew Francis-Landau; Benjamin Van Durme (CoRR, 2019)

Transductive Parsing for Universal Decompositional Semantics. - Elias Stengel-Eskin; Aaron Steven White; Sheng Zhang 012; Benjamin Van Durme (CoRR, 2019)

Reading the Manual: Event Extraction as Definition Comprehension. - Yunmo Chen; Tongfei Chen; Seth Ebner; Benjamin Van Durme (CoRR, 2019)

Neural variational entity set expansion for automatically populated knowledge graphs. - Pushpendre Rastogi; Adam Poliak; Vince Lyzinski; Benjamin Van Durme (Inf. Retr. J., 2019)

Decomposing Generalization: Models of Generic, Habitual and Episodic Statements. - Venkata Subrahmanyan Govindarajan; Benjamin Van Durme; Aaron Steven White (Trans. Assoc. Comput. Linguistics, 2019)

Reading the Manual: Event Extraction as Definition Comprehension. - Yunmo Chen; Tongfei Chen; Seth Ebner; Aaron Steven White; Benjamin Van Durme (SPNLP@EMNLP, 2020)

CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models. - Abhinav Singh; Patrick Xia 002; Guanghui Qin; Mahsa Yarmohammadi; Benjamin Van Durme (SPNLP@EMNLP, 2020)

Script Induction as Association Rule Mining. - Anton Belyy; Benjamin Van Durme (NUSE@ACL, 2020)

Hierarchical Entity Typing via Multi-level Learning to Rank. - Tongfei Chen; Yunmo Chen; Benjamin Van Durme (ACL, 2020)

Uncertain Natural Language Inference. - Tongfei Chen; Zhengping Jiang; Adam Poliak; Keisuke Sakaguchi; Benjamin Van Durme (ACL, 2020)

Multi-Sentence Argument Linking. - Seth Ebner; Patrick Xia 002; Ryan Culkin; Kyle Rawlins; Benjamin Van Durme (ACL, 2020)

Universal Decompositional Semantic Parsing. - Elias Stengel-Eskin; Aaron Steven White; Sheng Zhang 012; Benjamin Van Durme (ACL, 2020)

Probing Neural Language Models for Human Tacit Assumptions. - Nathaniel Weir; Adam Poliak; Benjamin Van Durme (CogSci, 2020)

Temporal Reasoning in Natural Language Inference. - Siddharth Vashishtha; Adam Poliak; Yash Kumar Lal; Benjamin Van Durme; Aaron Steven White (EMNLP (Findings), 2020)

Causal Inference of Script Knowledge. - Noah Weber; Rachel Rudinger; Benjamin Van Durme (EMNLP (1), 2020)

COD3S: Diverse Generation with Discrete Semantic Signatures. - Nathaniel Weir; João Sedoc; Benjamin Van Durme (EMNLP (1), 2020)

Incremental Neural Coreference Resolution in Constant Memory. - Patrick Xia 002; João Sedoc; Benjamin Van Durme (EMNLP (1), 2020)

Which *BERT? A Survey Organizing Contextualized Encoders. - Patrick Xia 002; Shijie Wu; Benjamin Van Durme (EMNLP (1), 2020)

Interactive Refinement of Cross-Lingual Word Embeddings. - Michelle Yuan; Mozhi Zhang; Benjamin Van Durme; Leah Findlater; Jordan L. Boyd-Graber (EMNLP (1), 2020)

Guided Generation of Cause and Effect. - Zhongyang Li; Xiao Ding; Ting Liu 001; J. Edward Hu; Benjamin Van Durme (IJCAI, 2020)

A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. - Nils Holzenberger; Andrew Blair-Stanek; Benjamin Van Durme (NLLP@KDD, 2020)

The Universal Decompositional Semantics Dataset and Decomp Toolkit. - Aaron Steven White; Elias Stengel-Eskin; Siddharth Vashishtha; Venkata Subrahmanyan Govindarajan; Dee Ann Reisinger; Tim Vieira; Keisuke Sakaguchi; Sheng Zhang 012; Francis Ferraro; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (LREC, 2020)

On the Existence of Tacit Assumptions in Contextualized Language Models. - Nathaniel Weir; Adam Poliak; Benjamin Van Durme (CoRR, 2020)

Revisiting Memory-Efficient Incremental Coreference Resolution. - Patrick Xia 002; João Sedoc; Benjamin Van Durme (CoRR, 2020)

Factoring Statutory Reasoning as Language Understanding Challenges. - Nils Holzenberger; Benjamin Van Durme (ACL/IJCNLP (1), 2021)

LOME: Large Ontology Multilingual Extraction. - Patrick Xia 002; Guanghui Qin; Siddharth Vashishtha; Yunmo Chen; Tongfei Chen; Chandler May; Craig Harman; Kyle Rawlins; Aaron Steven White; Benjamin Van Durme (EACL (System Demonstrations), 2021)

Complement Lexical Retrieval Model with Semantic Residual Embeddings. - Luyu Gao; Zhuyun Dai; Tongfei Chen; Zhen Fan 003; Benjamin Van Durme; Jamie Callan (ECIR (1), 2021)

Constrained Language Models Yield Few-Shot Semantic Parsers. - Richard Shin; Christopher H. Lin; Sam Thomson; Charles Chen; Subhro Roy; Emmanouil Antonios Platanios; Adam Pauls; Dan Klein 001; Jason Eisner; Benjamin Van Durme (EMNLP (1), 2021)

Moving on from OntoNotes: Coreference Resolution Model Transfer. - Patrick Xia 002; Benjamin Van Durme (EMNLP (1), 2021)

BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation. - Haoran Xu; Benjamin Van Durme; Kenton W. Murray (EMNLP (1), 2021)

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. - Mahsa Yarmohammadi; Shijie Wu; Marc Marone; Haoran Xu; Seth Ebner; Guanghui Qin; Yunmo Chen; Jialiang Guo; Craig Harman; Kenton Murray; Aaron Steven White; Mark Dredze; et al. (EMNLP (1), 2021)

Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. - Zhuowan Li; Elias Stengel-Eskin; Yixiao Zhang 001; Cihang Xie; Quan Tran; Benjamin Van Durme; Alan L. Yuille (ICCV, 2021)

InFillmore: Frame-Guided Language Generation with Bidirectional Context. - Jiefu Ou; Nathaniel Weir; Anton Belyy; Felix Yu; Benjamin Van Durme (*SEM, 2021)

Gradual Fine-Tuning for Low-Resource Domain Adaptation. - Haoran Xu; Seth Ebner; Mahsa Yarmohammadi; Aaron Steven White; Benjamin Van Durme; Kenton W. Murray (CoRR, 2021)

InFillmore: Neural Frame Lexicalization for Narrative Text Infilling. - Jiefu Ou; Nathaniel Weir; Anton Belyy; Felix Yu; Benjamin Van Durme (CoRR, 2021)

Adaptive Active Learning for Coreference Resolution. - Michelle Yuan; Patrick Xia 002; Benjamin Van Durme; Jordan L. Boyd-Graber (CoRR, 2021)

Schema Curation via Causal Association Rule Mining. - Noah Weber; Anton Belyy; Nils Holzenberger; Rachel Rudinger; Benjamin Van Durme (CoRR, 2021)

Iterative Paraphrastic Augmentation with Discriminative Span Alignment. - Ryan Culkin; J. Edward Hu; Elias Stengel-Eskin; Guanghui Qin; Benjamin Van Durme (Trans. Assoc. Comput. Linguistics, 2021)

Joint Universal Syntactic and Semantic Parsing. - Elias Stengel-Eskin; Kenton W. Murray; Sheng Zhang 012; Aaron Steven White; Benjamin Van Durme (Trans. Assoc. Comput. Linguistics, 2021)

Guided K-best Selection for Semantic Parsing Annotation. - Anton Belyy; Chieh-Yang Huang; Jacob Andreas; Emmanouil Antonios Platanios; Sam Thomson; Richard Shin; Subhro Roy; Aleksandr Nisnevich; Charles Chen; Benjamin Van Durme (ACL (demo), 2022)

Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. - Kevin Yang; Olivia Deng; Charles Chen; Richard Shin; Subhro Roy; Benjamin Van Durme (ACL (Findings), 2022)

Adapting Coreference Resolution Models through Active Learning. - Michelle Yuan; Patrick Xia 002; Chandler May; Benjamin Van Durme; Jordan L. Boyd-Graber (ACL (1), 2022)

Automatic Document Selection for Efficient Encoder Pretraining. - Yukun Feng; Patrick Xia 002; Benjamin Van Durme; João Sedoc (EMNLP, 2022)

An Empirical Study on Finding Spans. - Weiwei Gu; Boyuan Zheng; Yunmo Chen; Tongfei Chen; Benjamin Van Durme (EMNLP, 2022)

Calibrating Zero-shot Cross-lingual (Un-)structured Predictions. - Zhengping Jiang; Anqi Liu; Benjamin Van Durme (EMNLP, 2022)

The Curious Case of Control. - Elias Stengel-Eskin; Benjamin Van Durme (EMNLP, 2022)

When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. - Elias Stengel-Eskin; Emmanouil Antonios Platanios; Adam Pauls; Sam Thomson; Hao Fang 002; Benjamin Van Durme; Jason Eisner; Yu Su 001 (EMNLP, 2022)

Few-Shot Semantic Parsing with Language Models Trained on Code. - Richard Shin; Benjamin Van Durme (NAACL-HLT, 2022)

Pretrained Models for Multilingual Federated Learning. - Orion Weller; Marc Marone; Vladimir Braverman; Dawn J. Lawrie; Benjamin Van Durme (NAACL-HLT, 2022)

Visual Commonsense in Pretrained Unimodal and Multimodal Models. - Chenyu Zhang; Benjamin Van Durme; Zhuowan Li; Elias Stengel-Eskin (NAACL-HLT, 2022)

Ambiguous Images With Human Judgments for Robust Visual Event Classification. - Kate Sanders 002; Reno Kriz; Anqi Liu; Benjamin Van Durme (NeurIPS, 2022)

Zero-shot Cross-lingual Transfer is Under-specified Optimization. - Shijie Wu; Benjamin Van Durme; Mark Dredze (RepL4NLP@ACL, 2022)

Improved Induction of Narrative Chains via Cross-Document Relations. - Andrew Blair-Stanek; Benjamin Van Durme (*SEM@NAACL-HLT, 2022)

Asking the Right Questions in Low Resource Template Extraction. - Nils Holzenberger; Yunmo Chen; Benjamin Van Durme (CoRR, 2022)

BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing. - Subhro Roy; Sam Thomson; Tongfei Chen; Richard Shin; Adam Pauls; Jason Eisner; Benjamin Van Durme (CoRR, 2022)

Dynamic Generation of Interpretable Inference Rules in a Neuro-Symbolic Expert System. - Nathaniel Weir; Benjamin Van Durme (CoRR, 2022)

Localization vs. Semantics: How Can Language Benefit Visual Representation Learning? - Zhuowan Li; Cihang Xie; Benjamin Van Durme; Alan L. Yuille (CoRR, 2022)

Defending Against Poisoning Attacks in Open-Domain Question Answering. - Orion Weller; Aleem Khan; Nathaniel Weir; Dawn J. Lawrie; Benjamin Van Durme (CoRR, 2022)

Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA. - Elias Stengel-Eskin; Jimena Guallar-Blasco; Yi Zhou; Benjamin Van Durme (ACL (1), 2023)

Evaluating Paraphrastic Robustness in Textual Entailment Models. - Dhruv Verma; Yash Kumar Lal; Shreyashee Sinha; Benjamin Van Durme; Adam Poliak (ACL (2), 2023)

One-Shot Learning from a Demonstration with Hierarchical Latent Language. - Nathaniel Weir; Xingdi Yuan; Marc-Alexandre Côté; Matthew J. Hausknecht; Romain Laroche; Ida Momennejad; Harm van Seijen; Benjamin Van Durme (AAMAS, 2023)

Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. - Zhuowan Li; Xingrui Wang; Elias Stengel-Eskin; Adam Kortylewski; Wufei Ma; Benjamin Van Durme; Alan L. Yuille (CVPR, 2023)

Iterative Document-level Information Extraction via Imitation Learning. - Yunmo Chen; William Gantt; Weiwei Gu; Tongfei Chen; Aaron Steven White; Benjamin Van Durme (EACL, 2023)

The NLP Task Effectiveness of Long-Range Transformers. - Guanghui Qin; Yukun Feng; Benjamin Van Durme (EACL, 2023)

A Unified View of Evaluation Metrics for Structured Prediction. - Yunmo Chen; William Gantt; Tongfei Chen; Aaron Steven White; Benjamin Van Durme (EMNLP, 2023)

InstructExcel: A Benchmark for Natural Language Instruction in Excel. - Justin Payan; Swaroop Mishra; Mukul Singh; Carina Negreanu; Christian Pölitz; Chitta Baral; Subhro Roy; Rasika Chakravarthy; Benjamin Van Durme; Elnaz Nouri (EMNLP (Findings), 2023)

Did You Mean...? Confidence-based Trade-offs in Semantic Parsing. - Elias Stengel-Eskin; Benjamin Van Durme (EMNLP, 2023)

When Do Decompositions Help for Machine Reading? - Kangda Wei; Dawn J. Lawrie; Benjamin Van Durme; Yunmo Chen; Orion Weller (EMNLP, 2023)

Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. - Haoran Xu; Weiting Tan; Shuyue Stella Li; Yunmo Chen; Benjamin Van Durme; Philipp Koehn; Kenton Murray (EMNLP, 2023)

Can GPT-3 Perform Statutory Reasoning? - Andrew Blair-Stanek; Nils Holzenberger; Benjamin Van Durme (ICAIL, 2023)

Nugget: Neural Agglomerative Embeddings of Text. - Guanghui Qin; Benjamin Van Durme (ICML, 2023)

MultiVENT: Multilingual Videos of Events and Aligned Natural Text. - Kate Sanders 002; David Etter; Reno Kriz; Benjamin Van Durme (NeurIPS, 2023)

Data Portraits: Recording Foundation Model Training Data. - Marc Marone; Benjamin Van Durme (NeurIPS, 2023)

BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing. - Subhro Roy; Samuel Thomson; Tongfei Chen; Richard Shin; Adam Pauls; Jason Eisner; Benjamin Van Durme (NeurIPS, 2023)

InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction. - Ishani Mondal; Michelle Yuan; Anandhavelu Natarajan; Aparna Garimella; Francis Ferraro; Andrew Blair-Stanek; Benjamin Van Durme; Jordan L. Boyd-Graber (CoRR, 2023)

MultiVENT: Multilingual Videos of Events with Aligned Natural Text. - Kate Sanders 002; David Etter; Reno Kriz; Benjamin Van Durme (CoRR, 2023)

MegaWika: Millions of reports and their sources across 50 diverse languages. - Samuel Barham; Orion Weller; Michelle Yuan; Kenton Murray; Mahsa Yarmohammadi; Zhengping Jiang; Siddharth Vashishtha; Alexander Martin 006; Anqi Liu; Aaron Steven White; Jordan L. Boyd-Graber; Benjamin Van Durme (CoRR, 2023)

OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax? - Andrew Blair-Stanek; Nils Holzenberger; Benjamin Van Durme (CoRR, 2023)

SCREWS: A Modular Framework for Reasoning with Revisions. - Kumar Shridhar; Harsh Jhamtani; Hao Fang 002; Benjamin Van Durme; Jason Eisner; Patrick Xia 002 (CoRR, 2023)

Nugget 2D: Dynamic Contextual Compression for Scaling Decoder-only Language Models. - Guanghui Qin; Corby Rosset; Ethan C. Chau; Nikhil Rao; Benjamin Van Durme (CoRR, 2023)

Toucan: Token-Aware Character Level Language Modeling. - William Fleshman; Benjamin Van Durme (CoRR, 2023)

BLT: Can Large Language Models Handle Basic Legal Text? - Andrew Blair-Stanek; Nils Holzenberger; Benjamin Van Durme (CoRR, 2023)

Calibrated Interpretation: Confidence Estimation in Semantic Parsing. - Elias Stengel-Eskin; Benjamin Van Durme (Trans. Assoc. Comput. Linguistics, 2023)

Multilingual Coreference Resolution in Multiparty Dialogue. - Boyuan Zheng; Patrick Xia 002; Mahsa Yarmohammadi; Benjamin Van Durme (Trans. Assoc. Comput. Linguistics, 2023)

Do Androids Know They're Only Dreaming of Electric Sheep? - Sky CH-Wang; Benjamin Van Durme; Jason Eisner; Chris Kedzie (ACL (Findings), 2024)

LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. - Helia Hashemi; Jason Eisner; Corby Rosset; Benjamin Van Durme; Chris Kedzie (ACL (1), 2024)

RORA: Robust Free-Text Rationale Evaluation. - Zhengping Jiang; Yining Lu; Hanjie Chen; Daniel Khashabi; Benjamin Van Durme; Anqi Liu (ACL (1), 2024)

Dodo: Dynamic Contextual Compression for Decoder-only LMs. - Guanghui Qin; Corby Rosset; Ethan C. Chau; Nikhil Rao; Benjamin Van Durme (ACL (1), 2024)

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error. - Boshi Wang; Hao Fang 002; Jason Eisner; Benjamin Van Durme; Yu Su 001 (ACL (1), 2024)

AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees. - William Fleshman; Benjamin Van Durme (CAMLIS, 2024)

A Survey of Video Datasets for Grounded Event Understanding. - Kate Sanders 002; Benjamin Van Durme (CVPR Workshops, 2024)

MultiMUC: Multilingual Template Filling on MUC-4. - William Gantt; Shabnam Behzad; Hannah Youngeun An; Yunmo Chen; Aaron Steven White; Benjamin Van Durme; Mahsa Yarmohammadi (EACL (1), 2024)

Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. - Zhuowan Li; Cihang Xie; Benjamin Van Durme; Alan L. Yuille (EACL (1), 2024)

Defending Against Disinformation Attacks in Open-Domain Question Answering. - Orion Weller; Aleem Khan; Nathaniel Weir; Dawn J. Lawrie; Benjamin Van Durme (EACL (2), 2024)

NevIR: Negation in Neural Information Retrieval. - Orion Weller; Dawn J. Lawrie; Benjamin Van Durme (EACL (1), 2024)

When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. - Orion Weller; Kyle Lo; David Wadden; Dawn J. Lawrie; Benjamin Van Durme; Arman Cohan; Luca Soldaini (EACL (Findings), 2024)

"According to . . . ": Prompting Language Models Improves Quoting from Pre-Training Data. - Orion Weller; Marc Marone; Nathaniel Weir; Dawn J. Lawrie; Daniel Khashabi; Benjamin Van Durme (EACL (1), 2024)

Grounding Partially-Defined Events in Multimodal Data. - Kate Sanders 002; Reno Kriz; David Etter; Hannah Recknor; Alexander Martin 006; Cameron Carpenter; Jingyang Lin; Benjamin Van Durme (EMNLP (Findings), 2024)

TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning. - Kate Sanders 002; Nathaniel Weir; Benjamin Van Durme (EMNLP, 2024)

Language-to-Code Translation with a Single Labeled Example. - Kaj Bostrom; Harsh Jhamtani; Hao Fang 002; Sam Thomson; Richard Shin; Patrick Xia 002; Benjamin Van Durme; Jason Eisner; Jacob Andreas (EMNLP, 2024)

Learning to Retrieve Iteratively for In-Context Learning. - Yunmo Chen; Tongfei Chen; Harsh Jhamtani; Patrick Xia 002; Richard Shin; Jason Eisner; Benjamin Van Durme (EMNLP, 2024)

Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. - Nathaniel Weir; Kate Sanders 002; Orion Weller; Shreya Sharma 010; Dongwei Jiang; Zhengping Jiang; Bhavana Dalvi Mishra; Oyvind Tafjord; Peter A. Jansen; Peter Clark; Benjamin Van Durme (EMNLP, 2024)

Ontologically Faithful Generation of Non-Player Character Dialogues. - Nathaniel Weir; Ryan Thomas; Randolph D'Amore; Kellie Hill; Benjamin Van Durme; Harsh Jhamtani (EMNLP, 2024)

Zero and Few-shot Semantic Parsing with Ambiguous Inputs. - Elias Stengel-Eskin; Kyle Rawlins; Benjamin Van Durme (ICLR, 2024)

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. - Haoran Xu; Amr Sharaf; Yunmo Chen; Weiting Tan; Lingfeng Shen; Benjamin Van Durme; Kenton Murray; Young Jin Kim 001 (ICML, 2024)

Natural Language Decomposition and Interpretation of Complex Utterances. - Harsh Jhamtani; Hao Fang 002; Patrick Xia 002; Eran Levy; Jacob Andreas; Benjamin Van Durme (IJCAI, 2024)

NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning. - Nathaniel Weir; Peter Clark; Benjamin Van Durme (IJCAI, 2024)

SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. - Abe Bohan Hou; Jingyu Zhang; Tianxing He; Yichen Wang 002; Yung-Sung Chuang; Hongwei Wang; Lingfeng Shen; Benjamin Van Durme; Daniel Khashabi; Yulia Tsvetkov (NAACL-HLT, 2024)

Interpreting User Requests in the Context of Natural Language Standing Instructions. - Nikita Moghe; Patrick Xia 002; Jacob Andreas; Jason Eisner; Benjamin Van Durme; Harsh Jhamtani (NAACL-HLT (Findings), 2024)

Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles. - Weiting Tan; Haoran Xu; Lingfeng Shen; Shuyue Stella Li; Kenton Murray; Philipp Koehn; Benjamin Van Durme; Yunmo Chen (NAACL-HLT (Findings), 2024)

FAMuS: Frames Across Multiple Sources. - Siddharth Vashishtha; Alexander Martin 006; William Gantt; Benjamin Van Durme; Aaron Steven White (NAACL-HLT, 2024)

A Closer Look at Claim Decomposition. - Miriam Wanner; Seth Ebner; Zhengping Jiang; Mark Dredze; Benjamin Van Durme (*SEM@NAACL, 2024)

Reframing Tax Law Entailment as Analogical Reasoning. - Xinrui Zou; Ming Zhang; Nathaniel Weir; Benjamin Van Durme; Nils Holzenberger (CoRR, 2024)

Streaming Sequence Transduction through Dynamic Compression. - Weiting Tan; Yunmo Chen; Tongfei Chen; Guanghui Qin; Haoran Xu; Heidi C. Zhang; Benjamin Van Durme; Philipp Koehn (CoRR, 2024)

Tur[k]ingBench: A Challenge Benchmark for Web Agents. - Kevin Xu; Yeganeh Kordi; Kate Sanders 002; Yizhong Wang; Adam Byerly; Jack Zhang; Benjamin Van Durme; Daniel Khashabi (CoRR, 2024)

Dated Data: Tracing Knowledge Cutoffs in Large Language Models. - Jeffrey Cheng; Marc Marone; Orion Weller; Dawn J. Lawrie; Daniel Khashabi; Benjamin Van Durme (CoRR, 2024)

SELF-[IN]CORRECT: LLMs Struggle with Refining Self-Generated Responses. - Dongwei Jiang; Jingyu Zhang; Orion Weller; Nathaniel Weir; Benjamin Van Durme; Daniel Khashabi (CoRR, 2024)

AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees. - William Fleshman; Aleem Khan; Marc Marone; Benjamin Van Durme (CoRR, 2024)

RE-Adapt: Reverse Engineered Adaptation of Large Language Models. - William Fleshman; Benjamin Van Durme (CoRR, 2024)

CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation. - Abe Bohan Hou; Orion Weller; Guanghui Qin; Eugene Yang; Dawn J. Lawrie; Nils Holzenberger; Andrew Blair-Stanek; Benjamin Van Durme (CoRR, 2024)

Core: Robust Factual Precision Scoring with Informative Sub-Claim Identification. - Zhengping Jiang; Jingyu Zhang; Nathaniel Weir; Seth Ebner; Miriam Wanner; Kate Sanders 002; Daniel Khashabi; Anqi Liu; Benjamin Van Durme (CoRR, 2024)

Baby Bear: Seeking a Just Right Rating Scale for Scalar Annotations. - Xu Han; Felix Yu; João Sedoc; Benjamin Van Durme (CoRR, 2024)

Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations. - Abe Bohan Hou; William Jurayj; Nils Holzenberger; Andrew Blair-Stanek; Benjamin Van Durme (CoRR, 2024)

MultiVENT 2.0: A Massive Multilingual Benchmark for Event-Centric Video Retrieval. - Reno Kriz; Kate Sanders 002; David Etter; Kenton Murray; Cameron Carpenter; Kelly Van Ochten; Hannah Recknor; Jimena Guallar-Blasco; Alexander Martin 006; Ronald Colaianni; Nolan King; Eugene Yang; et al. (CoRR, 2024)

Compressed Chain of Thought: Efficient Reasoning Through Dense Representations. - Jeffrey Cheng; Benjamin Van Durme (CoRR, 2024)

DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation. - Miriam Wanner; Benjamin Van Durme; Mark Dredze (CoRR, 2024)

Addressing the Binning Problem in Calibration Assessment through Scalar Annotations. - Zhengping Jiang; Anqi Liu; Benjamin Van Durme (Trans. Assoc. Comput. Linguistics, 2024)

SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses. - Dongwei Jiang; Jingyu Zhang; Orion Weller; Nathaniel Weir; Benjamin Van Durme; Daniel Khashabi (AAAI, 2025)

WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment. - Jiefu Ou; Arda Uzunoglu; Benjamin Van Durme; Daniel Khashabi (AAAI, 2025)

LLM Agents for Coordinating Multi-User Information Gathering. - Harsh Jhamtani; Jacob Andreas; Benjamin Van Durme (ACL (Findings), 2025)

RATIONALYST: Pre-training Process-Supervision for Improving Reasoning. - Dongwei Jiang; Guoxuan Wang; Yining Lu; Andrew Wang; Jingyu Zhang; Chuyu Liu; Benjamin Van Durme; Daniel Khashabi (ACL (1), 2025)

Core: Robust Factual Precision with Informative Sub-Claim Identification. - Zhengping Jiang; Jingyu Zhang; Nathaniel Weir; Seth Ebner; Miriam Wanner; Kate Sanders 002; Daniel Khashabi; Anqi Liu; Benjamin Van Durme (ACL (Findings), 2025)

ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly. - Ishani Mondal; Michelle Yuan; Anandhavelu Natarajan; Aparna Garimella; Francis Ferraro; Andrew Blair-Stanek; Benjamin Van Durme; Jordan Lee Boyd-Graber (COLING, 2025)

MultiVENT 2.0: A Massive Multilingual Benchmark for Event-Centric Video Retrieval. - Reno Kriz; Kate Sanders 002; David Etter; Kenton Murray; Cameron Carpenter; Hannah Recknor; Jimena Guallar-Blasco; Alexander Martin 006; Eugene Yang; Benjamin Van Durme (CVPR, 2025)

Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval. - Arun Reddy; Alexander Martin 006; Eugene Yang; Andrew Yates; Kate Sanders 002; Kenton Murray; Reno Kriz; Celso M. de Melo; Benjamin Van Durme; Rama Chellappa (CVPR, 2025)

mFollowIR: A Multilingual Benchmark for Instruction Following in Retrieval. - Orion Weller; Benjamin Chang 007; Eugene Yang; Mahsa Yarmohammadi; Samuel Barham; Sean MacAvaney; Arman Cohan; Luca Soldaini; Benjamin Van Durme; Dawn J. Lawrie (ECIR (2), 2025)

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. - Tong Chen; Hao Fang 002; Patrick Xia 002; Xiaodong Liu 003; Benjamin Van Durme; Luke Zettlemoyer; Jianfeng Gao 001; Hao Cheng 002 (ICLR, 2025)

Multi-Field Adaptive Retrieval. - Millicent Li; Tongfei Chen; Benjamin Van Durme; Patrick Xia 002 (ICLR, 2025)

From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering. - Nathaniel Weir; Bhavana Dalvi Mishra; Orion Weller; Oyvind Tafjord; Sam Hornstein; Alexander Sabol; Peter A. Jansen; Benjamin Van Durme; Peter Clark (ICLR, 2025)

Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models. - Orion Weller; Benjamin Van Durme; Dawn J. Lawrie; Ashwin Paranjape; Yuhao Zhang; Jack Hessel (ICLR, 2025)

Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements. - Jingyu Zhang; Ahmed Elgohary; Ahmed Magooda; Daniel Khashabi; Benjamin Van Durme (ICLR, 2025)

CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation. - Abe Bohan Hou; Orion Weller; Guanghui Qin; Eugene Yang; Dawn J. Lawrie; Nils Holzenberger; Andrew Blair-Stanek; Benjamin Van Durme (NAACL (Findings), 2025)

MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools. - Nishant Subramani; Jason Eisner; Justin Svegliato; Benjamin Van Durme; Yu Su 001; Sam Thomson (NAACL (Long Papers), 2025)

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. - Orion Weller; Benjamin Chang 007; Sean MacAvaney; Kyle Lo; Arman Cohan; Benjamin Van Durme; Dawn J. Lawrie; Luca Soldaini (NAACL (Long Papers), 2025)

TurkingBench: A Challenge Benchmark for Web Agents. - Kevin Xu; Yeganeh Kordi; Tanay Nayak; Adi Asija; Yizhong Wang; Kate Sanders 002; Adam Byerly; Jingyu Zhang; Benjamin Van Durme; Daniel Khashabi (NAACL (Long Papers), 2025)

Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data. - Jingyu Zhang; Marc Marone; Tianjian Li; Benjamin Van Durme; Daniel Khashabi (NAACL (Long Papers), 2025)

RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation. - William Fleshman; Benjamin Van Durme (SIGIR, 2025)

LLMs Provide Unstable Answers to Legal Questions. - Andrew Blair-Stanek; Benjamin Van Durme (CoRR, 2025)

LM Agents for Coordinating Multi-User Information Gathering. - Harsh Jhamtani; Jacob Andreas; Benjamin Van Durme (CoRR, 2025)

Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering. - William Jurayj; Jeffrey Cheng; Benjamin Van Durme (CoRR, 2025)

Rank1: Test-Time Compute for Reranking in Information Retrieval. - Orion Weller; Kathryn Ricci; Eugene Yang; Andrew Yates; Dawn J. Lawrie; Benjamin Van Durme (CoRR, 2025)

Hierarchical corpus encoder: Fusing generative retrieval and dense indices. - Tongfei Chen; Ankita Sharma; Adam Pauls; Benjamin Van Durme (CoRR, 2025)

Conformal Linguistic Calibration: Trading-off between Factuality and Specificity. - Zhengping Jiang; Anqi Liu; Benjamin Van Durme (CoRR, 2025)

KV-Distill: Nearly Lossless Learnable Context Compression for LLMs. - Vivek Chari; Guanghui Qin; Benjamin Van Durme (CoRR, 2025)

Synthetic Function Demonstrations Improve Generation in Low-Resource Programming Languages. - Nick McKenna; Xinnuo Xu; Jack Williams 001; Nick Wilson; Benjamin Van Durme; Christian Pölitz (CoRR, 2025)

Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval. - Arun V. Reddy; Alexander Martin 006; Eugene Yang; Andrew Yates; Kate Sanders 002; Kenton Murray; Reno Kriz; Celso M. de Melo; Benjamin Van Durme; Rama Chellappa (CoRR, 2025)

CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers? - Jiefu Ou; William Gantt Walden; Kate Sanders 002; Zhengping Jiang; Kaiser Sun; Jeffrey Cheng; William Jurayj; Miriam Wanner; Shaobo Liang; Candice Morgan; Seunghoon Han; Weiqi Wang 001; et al. (CoRR, 2025)

WikiVideo: Article Generation from Multiple Videos. - Alexander Martin 006; Reno Kriz; William Gantt Walden; Kate Sanders 002; Hannah Recknor; Eugene Yang; Francis Ferraro; Benjamin Van Durme (CoRR, 2025)

SpectR: Dynamically Composing LM Experts with Spectral Routing. - William Fleshman; Benjamin Van Durme (CoRR, 2025)

Bonsai: Interpretable Tree-Adaptive Grounded Reasoning. - Kate Sanders 002; Benjamin Van Durme (CoRR, 2025)

Can LLMs Generate Tabular Summaries of Science Papers? Rethinking the Evaluation Protocol. - Weiqi Wang 001; Jiefu Ou; Yangqiu Song; Benjamin Van Durme; Daniel Khashabi (CoRR, 2025)

Certified Mitigation of Worst-Case LLM Copyright Infringement. - Jingyu Zhang; Jiacan Yu; Marc Marone; Benjamin Van Durme; Daniel Khashabi (CoRR, 2025)

Always Tell Me The Odds: Fine-grained Conditional Probability Estimation. - Liaoyaqi Wang; Zhengping Jiang; Anqi Liu; Benjamin Van Durme (CoRR, 2025)

Rank-K: Test-Time Reasoning for Listwise Reranking. - Eugene Yang; Andrew Yates; Kathryn Ricci; Orion Weller; Vivek Chari; Benjamin Van Durme; Dawn J. Lawrie (CoRR, 2025)

Jailbreak Distillation: Renewable Safety Benchmarking. - Jingyu Zhang; Ahmed Elgohary; Xiawei Wang; A S. M. Iftekhar; Ahmed Magooda; Benjamin Van Durme; Daniel Khashabi; Kyle Jackson (CoRR, 2025)

How Grounded is Wikipedia? A Study on Structured Evidential Support. - William Gantt Walden; Kathryn Ricci; Miriam Wanner; Zhengping Jiang; Chandler May; Rongkun Zhou; Benjamin Van Durme (CoRR, 2025)

LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks. - William Fleshman; Benjamin Van Durme (CoRR, 2025)

Compactor: Calibrated Query-Agnostic KV Cache Compression with Approximate Leverage Scores. - Vivek Chari; Benjamin Van Durme (CoRR, 2025)

Seq vs Seq: An Open Suite of Paired Encoders and Decoders. - Orion Weller; Kathryn Ricci; Marc Marone; Antoine Chaffin; Dawn J. Lawrie; Benjamin Van Durme (CoRR, 2025)

MegaWika 2: A More Comprehensive Multilingual Collection of Articles and their Sources. - Samuel Barham; Chandler May; Benjamin Van Durme (CoRR, 2025)