Stochastic Filtering in a Probabilistic Action Model. - Hannaneh Hajishirzi; Eyal Amir (AAAI, 2007)

Sampling First Order Logical Particles. - Hannaneh Hajishirzi; Eyal Amir (UAI, 2008)

Greedy Algorithms for Sequential Sensing Decisions. - Hannaneh Hajishirzi; Afsaneh Shirazi; Jaesik Choi; Eyal Amir (IJCAI, 2009)

Reasoning about Deterministic Actions with Probabilistic Prior and Application to Stochastic Filtering. - Hannaneh Hajishirzi; Eyal Amir (KR, 2010)

Adaptive near-duplicate detection via similarity learning. - Hannaneh Hajishirzi; Wen-tau Yih; Aleksander Kolcz (SIGIR, 2010)

Understanding Robocup-Soccer Narratives. - Hannaneh Hajishirzi; Eyal Amir (AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning, 2011)

Symbolic Probabilistic Reasoning for Narratives. - Hannaneh Hajishirzi; Erik T. Mueller (AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning, 2011)

Reasoning about RoboCup Soccer Narratives. - Hannaneh Hajishirzi; Julia Hockenmaier; Erik T. Mueller; Eyal Amir (UAI, 2011)

Action-centered reasoning for probabilistic dynamic domains - Hannaneh Hajishirzi (2011)

Question Answering in Natural Language Narratives Using Symbolic Probabilistic Reasoning. - Hannaneh Hajishirzi; Erik T. Mueller (FLAIRS, 2012)

Using Group History to Identify Character-Directed Utterances in Multi-Child Interactions. - Hannaneh Hajishirzi; Jill Fain Lehman; Jessica K. Hodgins (SIGDIAL Conference, 2012)

Semantic Understanding of Professional Soccer Commentaries. - Hannaneh Hajishirzi; Mohammad Rastegari; Ali Farhadi; Jessica K. Hodgins (UAI, 2012)

Take or Wait? Learning Turn-Taking from Multiparty Data. - Iolanda Leite; Hannaneh Hajishirzi; Sean Andrist; Jill Fain Lehman (AAAI (Late-Breaking Developments), 2013)

Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves. - Hannaneh Hajishirzi; Leila Zilles; Daniel S. Weld; Luke Zettlemoyer (EMNLP, 2013)

Managing chaos: models of turn-taking in character-multichild interactions. - Iolanda Leite; Hannaneh Hajishirzi; Sean Andrist; Jill Fain Lehman (ICMI, 2013)

Diagram Understanding in Geometry Questions. - Min Joon Seo; Hannaneh Hajishirzi; Ali Farhadi; Oren Etzioni (AAAI, 2014)

Learning to Solve Arithmetic Word Problems with Verb Categorization. - Mohammad Javad Hosseini; Hannaneh Hajishirzi; Oren Etzioni; Nate Kushman (EMNLP, 2014)

Multi-Resolution Language Grounding with Weak Supervision. - Rik Koncel-Kedziorski; Hannaneh Hajishirzi; Ali Farhadi (EMNLP, 2014)

Multi-domain disfluency and repair detection. - Victoria Zayats; Mari Ostendorf; Hannaneh Hajishirzi (INTERSPEECH, 2014)

Discriminative and consistent similarities in instance-level Multiple Instance Learning. - Mohammad Rastegari; Hannaneh Hajishirzi; Ali Farhadi (CVPR, 2015)

Talking to the crowd: What do people react to in online discussions? - Aaron Jaech; Victoria Zayats; Hao Fang 002; Mari Ostendorf; Hannaneh Hajishirzi (EMNLP, 2015)

Solving Geometry Problems: Combining Text and Diagram Interpretation. - Min Joon Seo; Hannaneh Hajishirzi; Ali Farhadi; Oren Etzioni; Clint Malcolm (EMNLP, 2015)

Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing. - Hamid Izadinia; Fereshteh Sadeghi; Santosh Kumar Divvala; Hannaneh Hajishirzi; Yejin Choi 001; Ali Farhadi (ICCV, 2015)

Learning Knowledge Graphs for Question Answering through Conversational Dialog. - Ben Hixon; Peter Clark; Hannaneh Hajishirzi (HLT-NAACL, 2015)

Aligning Sentences from Standard Wikipedia to Simple Wikipedia. - William Hwang; Hannaneh Hajishirzi; Mari Ostendorf; Wei Wu (HLT-NAACL, 2015)

Unediting: Detecting Disfluencies Without Careful Transcripts. - Victoria Zayats; Mari Ostendorf; Hannaneh Hajishirzi (HLT-NAACL, 2015)

Parsing Algebraic Word Problems into Equations. - Rik Koncel-Kedziorski; Hannaneh Hajishirzi; Ashish Sabharwal; Oren Etzioni; Siena Dumas Ang (Trans. Assoc. Comput. Linguistics, 2015)

Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects. - Hessam Bagherinezhad; Hannaneh Hajishirzi; Yejin Choi 001; Ali Farhadi (AAAI, 2016)

Learning Prototypical Event Structure from Photo Albums. - Antoine Bosselut; Jianfu Chen; David Scott Warren; Hannaneh Hajishirzi; Yejin Choi 001 (ACL (1), 2016)

Multiplicative Representations for Unsupervised Semantic Role Induction. - Yi Luan; Yangfeng Ji; Hannaneh Hajishirzi; Boyang Li 001 (ACL (2), 2016)

A Task-Oriented Approach for Cost-Sensitive Recognition. - Roozbeh Mottaghi; Hannaneh Hajishirzi; Ali Farhadi (CVPR, 2016)

A Diagram is Worth a Dozen Images. - Aniruddha Kembhavi; Mike Salvato; Eric Kolve; Min Joon Seo; Hannaneh Hajishirzi; Ali Farhadi (ECCV (4), 2016)

A Theme-Rewriting Approach for Generating Algebra Word Problems. - Rik Koncel-Kedziorski; Ioannis Konstas; Luke Zettlemoyer; Hannaneh Hajishirzi (EMNLP, 2016)

Disfluency Detection Using a Bidirectional LSTM. - Vicky Zayats; Mari Ostendorf; Hannaneh Hajishirzi (INTERSPEECH, 2016)

MAWPS: A Math Word Problem Repository. - Rik Koncel-Kedziorski; Subhro Roy; Aida Amini; Nate Kushman; Hannaneh Hajishirzi (HLT-NAACL, 2016)

University of Washington TAC-KBP 2016 System Description. - James Ferguson; Colin Lockard; Natalie Hawkins; Stephen Soderland; Hannaneh Hajishirzi; Daniel S. Weld (TAC, 2016)

View-Driven Deduplication with Active Learning. - Kristi Morton; Hannaneh Hajishirzi; Magdalena Balazinska; Dan Grossman (CoRR, 2016)

Query-Regression Networks for Machine Comprehension. - Min Joon Seo; Hannaneh Hajishirzi; Ali Farhadi (CoRR, 2016)

Question Answering through Transfer Learning from Large Fine-grained Supervision Data. - Sewon Min; Min Joon Seo; Hannaneh Hajishirzi (ACL (2), 2017)

Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension. - Aniruddha Kembhavi; Min Joon Seo; Dustin Schwenk; Jonghyun Choi; Ali Farhadi; Hannaneh Hajishirzi (CVPR, 2017)

Scientific Information Extraction with Semi-supervised Neural Tagging. - Yi Luan; Mari Ostendorf; Hannaneh Hajishirzi (EMNLP, 2017)

Bidirectional Attention Flow for Machine Comprehension. - Min Joon Seo; Aniruddha Kembhavi; Ali Farhadi; Hannaneh Hajishirzi (ICLR (Poster), 2017)

Query-Reduction Networks for Question Answering. - Min Joon Seo; Sewon Min; Ali Farhadi; Hannaneh Hajishirzi (ICLR (Poster), 2017)

Identifying Most Walkable Direction for Navigation in an Outdoor Environment. - Sachin Mehta; Hannaneh Hajishirzi; Linda G. Shapiro (CoRR, 2017)

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. - Sachin Mehta; Mohammad Rastegari; Anat Caspi; Linda G. Shapiro; Hannaneh Hajishirzi (ECCV (10), 2018)

Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction. - Yi Luan; Luheng He; Mari Ostendorf; Hannaneh Hajishirzi (EMNLP, 2018)

Pyramidal Recurrent Unit for Language Modeling. - Sachin Mehta; Rik Koncel-Kedziorski; Mohammad Rastegari; Hannaneh Hajishirzi (EMNLP, 2018)

Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. - Min Joon Seo; Tom Kwiatkowski; Ankur P. Parikh; Ali Farhadi; Hannaneh Hajishirzi (EMNLP, 2018)

Neural Speed Reading via Skim-RNN. - Min Joon Seo; Sewon Min; Ali Farhadi; Hannaneh Hajishirzi (ICLR (Poster), 2018)

Semi-Supervised Event Extraction with Paraphrase Clusters. - James Ferguson; Colin Lockard; Daniel S. Weld; Hannaneh Hajishirzi (NAACL-HLT (2), 2018)

The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings. - Yi Luan; Mari Ostendorf; Hannaneh Hajishirzi (SemEval@NAACL-HLT, 2018)

Data-Driven Methods for Solving Algebra Word Problems. - Benjamin Robaidek; Rik Koncel-Kedziorski; Hannaneh Hajishirzi (CoRR, 2018)

Scientific Relation Extraction with Selectively Incorporated Concept Embeddings. - Yi Luan; Mari Ostendorf; Hannaneh Hajishirzi (CoRR, 2018)

On Making Reading Comprehension More Comprehensive. - Matt Gardner 001; Jonathan Berant; Hannaneh Hajishirzi; Alon Talmor; Sewon Min (MRQA@EMNLP, 2019)

Compositional Questions Do Not Necessitate Multi-hop Reasoning. - Sewon Min; Eric Wallace; Sameer Singh 001; Matt Gardner 001; Hannaneh Hajishirzi; Luke Zettlemoyer (ACL (1), 2019)

Multi-hop Reading Comprehension through Question Decomposition and Rescoring. - Sewon Min; Victor Zhong; Luke Zettlemoyer; Hannaneh Hajishirzi (ACL (1), 2019)

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. - Min Joon Seo; Jinhyuk Lee; Tom Kwiatkowski; Ankur P. Parikh; Ali Farhadi; Hannaneh Hajishirzi (ACL (1), 2019)

Potential-Based Advice for Stochastic Policy Learning. - Baicen Xiao; Bhaskar Ramasubramanian; Andrew Clark 001; Hannaneh Hajishirzi; Linda Bushnell; Radha Poovendran (CDC, 2019)

ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. - Sachin Mehta; Mohammad Rastegari; Linda G. Shapiro; Hannaneh Hajishirzi (CVPR, 2019)

Mixture Content Selection for Diverse Sequence Generation. - Jaemin Cho 001; Min Joon Seo; Hannaneh Hajishirzi (EMNLP/IJCNLP (1), 2019)

A Discrete Hard EM Approach for Weakly Supervised Question Answering. - Sewon Min; Danqi Chen 001; Hannaneh Hajishirzi; Luke Zettlemoyer (EMNLP/IJCNLP (1), 2019)

Entity, Relation, and Event Extraction with Contextualized Span Representations. - David Wadden; Ulme Wennberg; Yi Luan; Hannaneh Hajishirzi (EMNLP/IJCNLP (1), 2019)

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. - Aida Amini; Saadia Gabriel; Shanchuan Lin; Rik Koncel-Kedziorski; Yejin Choi 001; Hannaneh Hajishirzi (NAACL-HLT (1), 2019)

Text Generation from Knowledge Graphs with Graph Transformers. - Rik Koncel-Kedziorski; Dhanush Bekal; Yi Luan; Mirella Lapata; Hannaneh Hajishirzi (NAACL-HLT (1), 2019)

A general framework for information extraction using dynamic span graphs. - Yi Luan; Dave Wadden; Luheng He; Amy Shah; Mari Ostendorf; Hannaneh Hajishirzi (NAACL-HLT (1), 2019)

SemEval-2019 Task 10: Math Question Answering. - Mark Hopkins; Ronan Le Bras 001; Cristian Petrescu-Prahova; Gabriel Stanovsky; Hannaneh Hajishirzi; Rik Koncel-Kedziorski (SemEval@NAACL-HLT, 2019)

Question Answering is a Format; When is it Useful? - Matt Gardner 001; Jonathan Berant; Hannaneh Hajishirzi; Alon Talmor; Sewon Min (CoRR, 2019)

Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering. - Jinhyuk Lee; Min Joon Seo; Hannaneh Hajishirzi; Jaewoo Kang (CoRR, 2019)

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering. - Sewon Min; Danqi Chen 001; Luke Zettlemoyer; Hannaneh Hajishirzi (CoRR, 2019)

DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling. - Sachin Mehta; Rik Koncel-Kedziorski; Mohammad Rastegari; Hannaneh Hajishirzi (CoRR, 2019)

Logic-Guided Data Augmentation and Regularization for Consistent Question Answering. - Akari Asai; Hannaneh Hajishirzi (ACL, 2020)

SciREX: A Challenge Dataset for Document-Level Information Extraction. - Sarthak Jain; Madeleine van Zuylen; Hannaneh Hajishirzi; Iz Beltagy (ACL, 2020)

Contextualized Sparse Representations for Real-Time Open-Domain Question Answering. - Jinhyuk Lee; Min Joon Seo; Hannaneh Hajishirzi; Jaewoo Kang (ACL, 2020)

ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages. - Colin Lockard; Prashant Shiralkar; Xin Luna Dong; Hannaneh Hajishirzi (ACL, 2020)

Procedural Reading Comprehension with Attribute-Aware Context Flow. - Aida Amini; Antoine Bosselut; Bhavana Dalvi Mishra; Yejin Choi 001; Hannaneh Hajishirzi (AKBC, 2020)

Evaluating Models' Local Decision Boundaries via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hannaneh Hajishirzi; et al. (EMNLP (Findings), 2020)

X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. - Jaemin Cho 001; Jiasen Lu; Dustin Schwenk; Hannaneh Hajishirzi; Aniruddha Kembhavi (EMNLP (1), 2020)

IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. - James Ferguson; Matt Gardner 001; Hannaneh Hajishirzi; Tushar Khot; Pradeep Dasigi (EMNLP (1), 2020)

UnifiedQA: Crossing Format Boundaries With a Single QA System. - Daniel Khashabi; Sewon Min; Tushar Khot; Ashish Sabharwal; Oyvind Tafjord; Peter Clark; Hannaneh Hajishirzi (EMNLP (Findings), 2020)

AmbigQA: Answering Ambiguous Open-domain Questions. - Sewon Min; Julian Michael; Hannaneh Hajishirzi; Luke Zettlemoyer (EMNLP (1), 2020)

An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. - Bhargavi Paranjape; Mandar Joshi; John Thickstun; Hannaneh Hajishirzi; Luke Zettlemoyer (EMNLP (1), 2020)

MedICaT: A Dataset of Medical Images, Captions, and Textual References. - Sanjay Subramanian; Lucy Lu Wang; Ben Bogin; Sachin Mehta; Madeleine van Zuylen; Sravanthi Parasa; Sameer Singh 001; Matt Gardner 001; Hannaneh Hajishirzi (EMNLP (Findings), 2020)

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. - Swabha Swayamdipta; Roy Schwartz 001; Nicholas Lourie; Yizhong Wang; Hannaneh Hajishirzi; Noah A. Smith; Yejin Choi 001 (EMNLP (1), 2020)

Fact or Fiction: Verifying Scientific Claims. - David Wadden; Shanchuan Lin; Kyle Lo; Lucy Lu Wang; Madeleine van Zuylen; Arman Cohan; Hannaneh Hajishirzi (EMNLP (1), 2020)

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. - Akari Asai; Kazuma Hashimoto; Hannaneh Hajishirzi; Richard Socher; Caiming Xiong (ICLR, 2020)

DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling. - Sachin Mehta; Rik Koncel-Kedziorski; Mohammad Rastegari; Hannaneh Hajishirzi (ICLR, 2020)

Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web. - Xin Luna Dong; Hannaneh Hajishirzi; Colin Lockard; Prashant Shiralkar (KDD, 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Web-scale Knowledge Collection. - Colin Lockard; Prashant Shiralkar; Xin Luna Dong; Hannaneh Hajishirzi (WSDM, 2020)

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. - Jesse Dodge; Gabriel Ilharco; Roy Schwartz 001; Ali Farhadi; Hannaneh Hajishirzi; Noah A. Smith (CoRR, 2020)

Evaluating NLP Models via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hanna Hajishirzi; et al. (CoRR, 2020)

Probing Text Models for Common Ground with Visual Representations. - Gabriel Ilharco; Rowan Zellers; Ali Farhadi; Hannaneh Hajishirzi (CoRR, 2020)

UnifiedQA: Crossing Format Boundaries With a Single QA System. - Daniel Khashabi; Tushar Khot; Ashish Sabharwal; Oyvind Tafjord; Peter Clark; Hannaneh Hajishirzi (CoRR, 2020)

HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images. - Sachin Mehta; Ximing Lu; Donald L. Weaver; Joann G. Elmore; Hannaneh Hajishirzi; Linda G. Shapiro (CoRR, 2020)

DeLighT: Very Deep and Light-weight Transformer. - Sachin Mehta; Marjan Ghazvininejad; Srinivasan Iyer 001; Luke Zettlemoyer; Hannaneh Hajishirzi (CoRR, 2020)

Extracting Summary Knowledge Graphs from Long Documents. - Zeqiu Wu; Rik Koncel-Kedziorski; Mari Ostendorf; Hannaneh Hajishirzi (CoRR, 2020)

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. - Aida Amini; Tom Hope; David Wadden; Madeleine van Zuylen; Eric Horvitz; Roy Schwartz 001; Hannaneh Hajishirzi (CoRR, 2020)

A Controllable Model of Grounded Response Generation. - Zeqiu Wu; Michel Galley; Chris Brockett; Yizhe Zhang 002; Xiang Gao 011; Chris Quirk; Rik Koncel-Kedziorski; Jianfeng Gao 001; Hannaneh Hajishirzi; Mari Ostendorf; Bill Dolan (AAAI, 2021)

Prompting Contrastive Explanations for Commonsense Reasoning Tasks. - Bhargavi Paranjape; Julian Michael; Marjan Ghazvininejad; Hannaneh Hajishirzi; Luke Zettlemoyer (ACL/IJCNLP (Findings), 2021)

Efficient Passage Retrieval with Hashing for Open-domain Question Answering. - Ikuya Yamada; Akari Asai; Hannaneh Hajishirzi (ACL/IJCNLP (2), 2021)

Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. - Rahul Nadkarni; David Wadden; Iz Beltagy; Noah A. Smith; Hannaneh Hajishirzi; Tom Hope (AKBC, 2021)

Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. - Christopher Clark; Jordi Salvador; Dustin Schwenk; Derrick Bonafilia; Mark Yatskar; Eric Kolve; Alvaro Herrasti; Jonghyun Choi; Sachin Mehta; Sam Skjonsberg; Carissa Schoenick; Aaron Sarnat; et al. (EMNLP (1), 2021)

GooAQ: Open Question Answering with Diverse Answer Types. - Daniel Khashabi; Amos Ng; Tushar Khot; Ashish Sabharwal; Hannaneh Hajishirzi; Chris Callison-Burch (EMNLP (Findings), 2021)

Probing Across Time: What Does RoBERTa Know and When? - Zeyu Liu; Yizhong Wang; Jungo Kasai; Hannaneh Hajishirzi; Noah A. Smith (EMNLP (Findings), 2021)

Joint Passage Ranking for Diverse Multi-Answer Retrieval. - Sewon Min; Kenton Lee; Ming-Wei Chang; Kristina Toutanova; Hannaneh Hajishirzi (EMNLP (1), 2021)

DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization. - Zeqiu Wu; Bo-Ru Lu; Hannaneh Hajishirzi; Mari Ostendorf (EMNLP (1), 2021)

DeLighT: Deep and Light-weight Transformer. - Sachin Mehta; Marjan Ghazvininejad; Srinivasan Iyer 001; Luke Zettlemoyer; Hannaneh Hajishirzi (ICLR, 2021)

MultiModalQA: complex question answering over text, tables and images. - Alon Talmor; Ori Yoran; Amnon Catav; Dan Lahav; Yizhong Wang; Akari Asai; Gabriel Ilharco; Hannaneh Hajishirzi; Jonathan Berant (ICLR, 2021)

XOR QA: Cross-lingual Open-Retrieval Question Answering. - Akari Asai; Jungo Kasai; Jonathan H. Clark; Kenton Lee; Eunsol Choi; Hannaneh Hajishirzi (NAACL-HLT, 2021)

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. - Tom Hope; Aida Amini; David Wadden; Madeleine van Zuylen; Sravanthi Parasa; Eric Horvitz; Daniel S. Weld; Roy Schwartz 001; Hannaneh Hajishirzi (NAACL-HLT, 2021)

Probing Contextual Language Models for Common Ground with Visual Representations. - Gabriel Ilharco; Rowan Zellers; Ali Farhadi; Hannaneh Hajishirzi (NAACL-HLT, 2021)

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval. - Akari Asai; Xinyan Yu 001; Jungo Kasai; Hanna Hajishirzi (NeurIPS, 2021)

NaturalProofs: Mathematical Theorem Proving in Natural Language. - Sean Welleck; Jiacheng Liu 010; Ronan Le Bras 001; Hanna Hajishirzi; Yejin Choi 001; Kyunghyun Cho (NeurIPS Datasets and Benchmarks, 2021)

Probing Across Time: What Does RoBERTa Know and When? - Leo Z. Liu; Yizhong Wang; Jungo Kasai; Hannaneh Hajishirzi; Noah A. Smith (CoRR, 2021)

Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions. - Swaroop Mishra; Daniel Khashabi; Chitta Baral; Hannaneh Hajishirzi (CoRR, 2021)

Robust fine-tuning of zero-shot models. - Mitchell Wortsman; Gabriel Ilharco; Mike Li; Jong Wook Kim; Hannaneh Hajishirzi; Ali Farhadi; Hongseok Namkoong; Ludwig Schmidt (CoRR, 2021)

Reframing Instructional Prompts to GPTk's Language. - Swaroop Mishra; Daniel Khashabi; Chitta Baral; Yejin Choi 001; Hannaneh Hajishirzi (CoRR, 2021)

LongChecker: Improving scientific claim verification by modeling full-abstract context. - David Wadden; Kyle Lo; Lucy Lu Wang; Arman Cohan; Iz Beltagy; Hannaneh Hajishirzi (CoRR, 2021)

PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. - Daniel Khashabi; Shane Lyu; Sewon Min; Lianhui Qin; Kyle Richardson 001; Sameer Singh 001; Sean Welleck; Hannaneh Hajishirzi; Tushar Khot; Ashish Sabharwal; Yejin Choi 001 (CoRR, 2021)

Generated Knowledge Prompting for Commonsense Reasoning. - Jiacheng Liu 010; Alisa Liu; Ximing Lu; Sean Welleck; Peter West; Ronan Le Bras 001; Yejin Choi 001; Hannaneh Hajishirzi (ACL (1), 2022)

Reframing Instructional Prompts to GPTk's Language. - Daniel Khashabi; Chitta Baral; Yejin Choi 001; Hannaneh Hajishirzi (ACL (Findings), 2022)

Noisy Channel Language Model Prompting for Few-Shot Text Classification. - Sewon Min; Mike Lewis; Hannaneh Hajishirzi; Luke Zettlemoyer (ACL (1), 2022)

Cross-Task Generalization via Natural Language Crowdsourcing Instructions. - Swaroop Mishra; Daniel Khashabi; Chitta Baral; Hannaneh Hajishirzi (ACL (1), 2022)

FaVIQ: FAct Verification from Information-seeking Questions. - Jungsoo Park; Sewon Min; Jaewoo Kang; Luke Zettlemoyer; Hannaneh Hajishirzi (ACL (1), 2022)

Robust fine-tuning of zero-shot models. - Mitchell Wortsman; Gabriel Ilharco; Jong Wook Kim; Mike Li; Simon Kornblith; Rebecca Roelofs; Raphael Gontijo Lopes; Hannaneh Hajishirzi; Ali Farhadi; Hongseok Namkoong; Ludwig Schmidt (CVPR, 2022)

Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. - Jiacheng Liu 010; Skyler Hallinan; Ximing Lu; Pengfei He; Sean Welleck; Hannaneh Hajishirzi; Yejin Choi 001 (EMNLP, 2022)

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts. - Akari Asai; Mohammadreza Salehi; Matthew E. Peters; Hannaneh Hajishirzi (EMNLP, 2022)

Exploring The Landscape of Distributional Robustness for Question Answering Models. - Anas Awadalla; Mitchell Wortsman; Gabriel Ilharco; Sewon Min; Ian Magnusson; Hannaneh Hajishirzi; Ludwig Schmidt (EMNLP (Findings), 2022)

Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. - Vidhisha Balachandran; Hannaneh Hajishirzi; William W. Cohen; Yulia Tsvetkov (EMNLP, 2022)

CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation. - Tanay Dixit; Bhargavi Paranjape; Hannaneh Hajishirzi; Luke Zettlemoyer (EMNLP (Findings), 2022)

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? - Sewon Min; Xinxi Lyu; Ari Holtzman; Mikel Artetxe; Mike Lewis; Hannaneh Hajishirzi; Luke Zettlemoyer (EMNLP, 2022)

SciFact-Open: Towards open-domain scientific claim verification. - David Wadden; Kyle Lo; Bailey Kuehl; Arman Cohan; Iz Beltagy; Lucy Lu Wang; Hannaneh Hajishirzi (EMNLP (Findings), 2022)

CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning. - Zeqiu Wu; Yi Luan; Hannah Rashkin; David Reitter; Hannaneh Hajishirzi; Mari Ostendorf; Gaurav Singh Tomar (EMNLP, 2022)

Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. - Rajarshi Das; Ameya Godbole; Ankita Naik; Elliot Tower; Manzil Zaheer; Hannaneh Hajishirzi; Robin Jia; Andrew McCallum (ICML, 2022)

Aligning to Social Norms and Values in Interactive Narratives. - Prithviraj Ammanabrolu; Liwei Jiang; Maarten Sap; Hannaneh Hajishirzi; Yejin Choi 001 (NAACL-HLT, 2022)

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. - Akari Asai; Matt Gardner 001; Hannaneh Hajishirzi (NAACL-HLT, 2022)

Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. - Daniel Khashabi; Xinxi Lyu; Sewon Min; Lianhui Qin; Kyle Richardson 001; Sean Welleck; Hannaneh Hajishirzi; Tushar Khot; Ashish Sabharwal; Sameer Singh 001; Yejin Choi 001 (NAACL-HLT, 2022)

MetaICL: Learning to Learn In Context. - Sewon Min; Mike Lewis; Luke Zettlemoyer; Hannaneh Hajishirzi (NAACL-HLT, 2022)

MultiVerS: Improving scientific claim verification with weak supervision and full-document context. - David Wadden; Kyle Lo; Lucy Lu Wang; Arman Cohan; Iz Beltagy; Hannaneh Hajishirzi (NAACL-HLT (Findings), 2022)

Patching open-vocabulary models by interpolating weights. - Gabriel Ilharco; Mitchell Wortsman; Samir Yitzhak Gadre; Shuran Song; Hannaneh Hajishirzi; Simon Kornblith; Ali Farhadi; Ludwig Schmidt (NeurIPS, 2022)

NaturalProver: Grounded Mathematical Proof Generation with Language Models. - Sean Welleck; Jiacheng Liu 010; Ximing Lu; Hannaneh Hajishirzi; Yejin Choi 001 (NeurIPS, 2022)

UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training. - Daniel Khashabi; Yeganeh Kordi; Hannaneh Hajishirzi (CoRR, 2022)

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Anjana Arunkumar; Arjun Ashok; Arut Selvan Dhanasekaran; Atharva Naik; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (CoRR, 2022)

Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing. - Akari Asai; Mohammadreza Salehi; Matthew E. Peters; Hannaneh Hajishirzi (CoRR, 2022)

Editing Models with Task Arithmetic. - Gabriel Ilharco; Marco Túlio Ribeiro; Mitchell Wortsman; Suchin Gururangan; Ludwig Schmidt; Hannaneh Hajishirzi; Ali Farhadi (CoRR, 2022)

HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation. - Hamish Ivison; Akshita Bhagia; Yizhong Wang; Hannaneh Hajishirzi; Matthew E. Peters (CoRR, 2022)

When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories. - Alex Mallen; Akari Asai; Victor Zhong; Rajarshi Das; Hannaneh Hajishirzi; Daniel Khashabi (CoRR, 2022)

Self-Instruct: Aligning Language Model with Self Generated Instructions. - Yizhong Wang; Yeganeh Kordi; Swaroop Mishra; Alisa Liu; Noah A. Smith; Daniel Khashabi; Hannaneh Hajishirzi (CoRR, 2022)

End-to-End diagnosis of breast biopsy images with transformers. - Sachin Mehta; Ximing Lu; Wenjun Wu; Donald L. Weaver; Hannaneh Hajishirzi; Joann G. Elmore; Linda G. Shapiro (Medical Image Anal., 2022)

DiCENet: Dimension-Wise Convolutions for Efficient Networks. - Sachin Mehta; Hannaneh Hajishirzi; Mohammad Rastegari (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

CREPE: Open-Domain Question Answering with False Presuppositions. - Xinyan Yu 001; Sewon Min; Luke Zettlemoyer; Hannaneh Hajishirzi (ACL (1), 2023)

Task-aware Retrieval with Instructions. - Akari Asai; Timo Schick; Patrick Lewis 001; Xilun Chen 002; Gautier Izacard; Sebastian Riedel 001; Hannaneh Hajishirzi; Wen-tau Yih (ACL (Findings), 2023)

PuMer: Pruning and Merging Tokens for Efficient Vision Language Models. - Qingqing Cao; Bhargavi Paranjape; Hannaneh Hajishirzi (ACL (1), 2023)

HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation. - Hamish Ivison; Akshita Bhagia; Yizhong Wang; Hannaneh Hajishirzi; Matthew E. Peters (ACL (1), 2023)

Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. - Hamish Ivison; Noah A. Smith; Hannaneh Hajishirzi; Pradeep Dasigi (ACL (Findings), 2023)

Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations. - Xinxi Lyu; Sewon Min; Iz Beltagy; Luke Zettlemoyer; Hannaneh Hajishirzi (ACL (1), 2023)

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories. - Alex Mallen; Akari Asai; Victor Zhong; Rajarshi Das; Daniel Khashabi; Hannaneh Hajishirzi (ACL (1), 2023)

Nonparametric Masked Language Modeling. - Sewon Min; Weijia Shi; Mike Lewis; Xilun Chen 002; Wen-tau Yih; Hannaneh Hajishirzi; Luke Zettlemoyer (ACL (Findings), 2023)

Self-Instruct: Aligning Language Models with Self-Generated Instructions. - Yizhong Wang; Yeganeh Kordi; Swaroop Mishra; Alisa Liu; Noah A. Smith; Daniel Khashabi; Hannaneh Hajishirzi (ACL (1), 2023)

Elaboration-Generating Commonsense Question Answering at Scale. - Wenya Wang 001; Vivek Srikumar; Hannaneh Hajishirzi; Noah A. Smith (ACL (1), 2023)

FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. - Qinyuan Ye; Iz Beltagy; Matthew E. Peters; Xiang Ren 001; Hannaneh Hajishirzi (ACL (1), 2023)

Crystal: Introspective Reasoners Reinforced with Self-Feedback. - Jiacheng Liu 010; Ramakanth Pasunuru; Hannaneh Hajishirzi; Yejin Choi 001; Asli Celikyilmaz (EMNLP, 2023)

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. - Jiacheng Liu 010; Wenya Wang 001; Dianzhuo Wang; Noah A. Smith; Yejin Choi 001; Hannaneh Hajishirzi (EMNLP, 2023)

TaskWeb: Selecting Better Source Tasks for Multi-task NLP. - Joongwon Kim; Akari Asai; Gabriel Ilharco; Hannaneh Hajishirzi (EMNLP, 2023)

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. - Sewon Min; Kalpesh Krishna; Xinxi Lyu; Mike Lewis; Wen-tau Yih; Pang Wei Koh; Mohit Iyyer; Luke Zettlemoyer; Hannaneh Hajishirzi (EMNLP, 2023)

SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks. - Mohammadreza Salehi; Sachin Mehta; Aditya Kusupati; Ali Farhadi; Hannaneh Hajishirzi (EMNLP (Findings), 2023)

Machine Reading Comprehension using Case-based Reasoning. - Dung Thai; Dhruv Agarwal 003; Mudit Chaudhary; Wenlong Zhao 001; Rajarshi Das; Jay-Yoon Lee; Hannaneh Hajishirzi; Manzil Zaheer; Andrew McCallum (EMNLP (Findings), 2023)

Editing models with task arithmetic. - Gabriel Ilharco; Marco Túlio Ribeiro; Mitchell Wortsman; Ludwig Schmidt; Hannaneh Hajishirzi; Ali Farhadi (ICLR, 2023)

AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. - Bhargavi Paranjape; Pradeep Dasigi; Vivek Srikumar; Luke Zettlemoyer; Hannaneh Hajishirzi (ICLR, 2023)

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. - Rajkumar Ramamurthy; Prithviraj Ammanabrolu; Kianté Brantley; Jack Hessel; Rafet Sifa; Christian Bauckhage; Hannaneh Hajishirzi; Yejin Choi 001 (ICLR, 2023)

Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling. - Kolby Nottingham; Prithviraj Ammanabrolu; Alane Suhr; Yejin Choi 001; Hannaneh Hajishirzi; Sameer Singh 001; Roy Fox (ICML, 2023)

DataComp: In search of the next generation of multimodal datasets. - Samir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang 001; Eyal Orgad; Rahim Entezari; et al. (NeurIPS, 2023)

GenEval: An object-focused framework for evaluating text-to-image alignment. - Dhruba Ghosh; Hannaneh Hajishirzi; Ludwig Schmidt (NeurIPS, 2023)

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. - Yizhong Wang; Hamish Ivison; Pradeep Dasigi; Jack Hessel; Tushar Khot; Khyathi Raghavi Chandu; David Wadden; Kelsey MacMillan; Noah A. Smith; Iz Beltagy; Hannaneh Hajishirzi (NeurIPS, 2023)

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. - Zeqiu Wu; Yushi Hu; Weijia Shi; Nouha Dziri; Alane Suhr; Prithviraj Ammanabrolu; Noah A. Smith; Mari Ostendorf; Hannaneh Hajishirzi (NeurIPS, 2023)

ART: Automatic multi-step reasoning and tool-use for large language models. - Bhargavi Paranjape; Scott M. Lundberg; Sameer Singh 001; Hannaneh Hajishirzi; Luke Zettlemoyer; Marco Túlio Ribeiro (CoRR, 2023)

Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval. - Revanth Gangi Reddy; Pradeep Dasigi; Md. Arafat Sultan; Arman Cohan; Avirup Sil; Heng Ji 001; Hannaneh Hajishirzi (CoRR, 2023)

Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. - Hao Peng 009; Qingqing Cao; Jesse Dodge; Matthew E. Peters; Jared Fernandez; Tom Sherborne; Kyle Lo; Sam Skjonsberg; Emma Strubell; Darrell Plessas; Iz Beltagy; Evan Pete Walsh; et al. (CoRR, 2023)

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. - Sewon Min; Suchin Gururangan; Eric Wallace; Hannaneh Hajishirzi; Noah A. Smith; Luke Zettlemoyer (CoRR, 2023)

Making PPO even better: Value-Guided Monte-Carlo Tree Search decoding. - Jiacheng Liu 010; Andrew Cohen; Ramakanth Pasunuru; Yejin Choi 001; Hannaneh Hajishirzi; Asli Celikyilmaz (CoRR, 2023)

MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. - Pan Lu; Hritik Bansal; Tony Xia; Jiacheng Liu 010; Chunyuan Li; Hannaneh Hajishirzi; Hao Cheng 002; Kai-Wei Chang; Michel Galley; Jianfeng Gao 001 (CoRR, 2023)

Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging. - Joel Jang; Seungone Kim; Bill Yuchen Lin; Yizhong Wang; Jack Hessel; Luke Zettlemoyer; Hannaneh Hajishirzi; Yejin Choi 001; Prithviraj Ammanabrolu (CoRR, 2023)

What's In My Big Data? - Yanai Elazar; Akshita Bhagia; Ian Magnusson; Abhilasha Ravichander; Dustin Schwenk; Alane Suhr; Pete Walsh; Dirk Groeneveld; Luca Soldaini; Sameer Singh 001; Hanna Hajishirzi; Noah A. Smith; et al. (CoRR, 2023)

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. - Hamish Ivison; Yizhong Wang; Valentina Pyatkin; Nathan Lambert 001; Matthew E. Peters; Pradeep Dasigi; Joel Jang; David Wadden; Noah A. Smith; Iz Beltagy; Hannaneh Hajishirzi (CoRR, 2023)

InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions. - Zeqiu Wu; Ryu Parish; Hao Cheng 002; Sewon Min; Prithviraj Ammanabrolu; Mari Ostendorf; Hannaneh Hajishirzi (Trans. Assoc. Comput. Linguistics, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

OLMo: Accelerating the Science of Language Models. - Dirk Groeneveld; Iz Beltagy; Evan Pete Walsh; Akshita Bhagia; Rodney Kinney; Oyvind Tafjord; Ananya Harsh Jha; Hamish Ivison; Ian Magnusson; Yizhong Wang; Shane Arora; David Atkinson; et al. (ACL (1), 2024)

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. - Luca Soldaini; Rodney Kinney; Akshita Bhagia; Dustin Schwenk; David Atkinson; Russell Authur; Ben Bogin; Khyathi Raghavi Chandu; Jennifer Dumas; Yanai Elazar; Valentin Hofmann; Ananya Harsh Jha; et al. (ACL (1), 2024)

Set the Clock: Temporal Alignment of Pretrained Language Models. - Bowen Zhao 004; Zander Brumbaugh; Yizhong Wang; Hannaneh Hajishirzi; Noah A. Smith (ACL (Findings), 2024)

Getting it Right: Improving Spatial Consistency in Text-to-Image Models. - Agneet Chatterjee; Gabriela Ben Melech Stan; Estelle Aflalo; Sayak Paul; Dhruba Ghosh; Tejas Gokhale; Ludwig Schmidt; Hannaneh Hajishirzi; Vasudev Lal; Chitta Baral; Yezhou Yang (ECCV (22), 2024)

CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. - Tong Chen; Akari Asai; Niloofar Mireshghallah; Sewon Min; James Grimmelmann; Yejin Choi 001; Hannaneh Hajishirzi; Luke Zettlemoyer; Pang Wei Koh (EMNLP, 2024)

Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging. - Jacob Morrison; Noah A. Smith; Hannaneh Hajishirzi; Pang Wei Koh; Jesse Dodge; Pradeep Dasigi (EMNLP (Findings), 2024)

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection. - Akari Asai; Zeqiu Wu; Yizhong Wang; Avirup Sil; Hannaneh Hajishirzi (ICLR, 2024)

BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models. - Qingqing Cao; Sewon Min; Yizhong Wang; Hannaneh Hajishirzi (ICLR, 2024)

What's In My Big Data? - Yanai Elazar; Akshita Bhagia; Ian Magnusson; Abhilasha Ravichander; Dustin Schwenk; Alane Suhr; Evan Pete Walsh; Dirk Groeneveld; Luca Soldaini; Sameer Singh 001; Hannaneh Hajishirzi; Noah A. Smith; et al. (ICLR, 2024)

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. - Pan Lu; Hritik Bansal; Tony Xia; Jiacheng Liu 010; Chunyuan Li; Hannaneh Hajishirzi; Hao Cheng 002; Kai-Wei Chang; Michel Galley; Jianfeng Gao 001 (ICLR, 2024)

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. - Sewon Min; Suchin Gururangan; Eric Wallace; Weijia Shi; Hannaneh Hajishirzi; Noah A. Smith; Luke Zettlemoyer (ICLR, 2024)

Data Engineering for Scaling Language Models to 128K Context. - Yao Fu; Rameswar Panda; Xinyao Niu; Xiang Yue; Hannaneh Hajishirzi; Yoon Kim; Hao Peng 018 (ICML, 2024)

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference. - Bowen Zhao 004; Hannaneh Hajishirzi; Qingqing Cao (ICML, 2024)

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. - Akari Asai; Sneha Kudugunta; Xinyan Yu 001; Terra Blevins; Hila Gonen; Machel Reid; Yulia Tsvetkov; Sebastian Ruder; Hannaneh Hajishirzi (NAACL-HLT, 2024)

The Art of Saying No: Contextual Noncompliance in Language Models. - Faeze Brahman; Sachin Kumar 009; Vidhisha Balachandran; Pradeep Dasigi; Valentina Pyatkin; Abhilasha Ravichander; Sarah Wiegreffe; Nouha Dziri; Khyathi Raghavi Chandu; Jack Hessel; Yulia Tsvetkov; Noah A. Smith; et al. (NeurIPS, 2024)

MatFormer: Nested Transformer for Elastic Inference. - Devvrit; Sneha Kudugunta; Aditya Kusupati; Tim Dettmers; Kaifeng Chen; Inderjit S. Dhillon; Yulia Tsvetkov; Hanna Hajishirzi; Sham M. Kakade; Ali Farhadi; Prateek Jain 002 (NeurIPS, 2024)

Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback. - Hamish Ivison; Yizhong Wang; Jiacheng Liu 010; Zeqiu Wu; Valentina Pyatkin; Nathan Lambert 001; Noah A. Smith; Yejin Choi 001; Hanna Hajishirzi (NeurIPS, 2024)

Paloma: A Benchmark for Evaluating Language Model Fit. - Ian Magnusson; Akshita Bhagia; Valentin Hofmann; Luca Soldaini; Ananya Harsh Jha; Oyvind Tafjord; Dustin Schwenk; Evan Pete Walsh; Yanai Elazar; Kyle Lo; Dirk Groeneveld; Iz Beltagy; et al. (NeurIPS, 2024)

ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition. - Mohammadreza Salehi; Jae Sung Park; Aditya Kusupati; Ranjay Krishna; Yejin Choi 001; Hanna Hajishirzi; Ali Farhadi (NeurIPS, 2024)

Decoding-Time Language Model Alignment with Multiple Objectives. - Ruizhe Shi; Yifang Chen 001; Yushi Hu; Alisa Liu; Hanna Hajishirzi; Noah A. Smith; Simon S. Du (NeurIPS, 2024)

Fine-grained Hallucination Detection and Editing for Language Models. - Abhika Mishra; Akari Asai; Vidhisha Balachandran; Yizhong Wang; Graham Neubig; Yulia Tsvetkov; Hannaneh Hajishirzi (CoRR, 2024)

Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens. - Jiacheng Liu 010; Sewon Min; Luke Zettlemoyer; Yejin Choi 001; Hannaneh Hajishirzi (CoRR, 2024)

OLMo: Accelerating the Science of Language Models. - Dirk Groeneveld; Iz Beltagy; Pete Walsh; Akshita Bhagia; Rodney Kinney; Oyvind Tafjord; Ananya Harsh Jha; Hamish Ivison; Ian Magnusson; Yizhong Wang; Shane Arora; David Atkinson; et al. (CoRR, 2024)

Do Membership Inference Attacks Work on Large Language Models? - Michael Duan; Anshuman Suri; Niloofar Mireshghallah; Sewon Min; Weijia Shi; Luke Zettlemoyer; Yulia Tsvetkov; Yejin Choi 001; David Evans 001; Hannaneh Hajishirzi (CoRR, 2024)

Reliable, Adaptable, and Attributable Language Models with Retrieval. - Akari Asai; Zexuan Zhong; Danqi Chen 001; Pang Wei Koh; Luke Zettlemoyer; Hannaneh Hajishirzi; Wen-tau Yih (CoRR, 2024)

RewardBench: Evaluating Reward Models for Language Modeling. - Nathan Lambert 001; Valentina Pyatkin; Jacob Morrison; LJ Miranda; Bill Yuchen Lin; Khyathi Raghavi Chandu; Nouha Dziri; Sachin Kumar 009; Tom Zick; Yejin Choi 001; Noah A. Smith; Hannaneh Hajishirzi (CoRR, 2024)

Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning. - Joongwon Kim; Bhargavi Paranjape; Tushar Khot; Hannaneh Hajishirzi (CoRR, 2024)

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. - David Wadden; Kejian Shi; Jacob Morrison; Aakanksha Naik; Shruti Singh 001; Nitzan Barzilay; Kyle Lo; Tom Hope; Luca Soldaini; Shannon Zejiang Shen; Doug Downey; Hannaneh Hajishirzi; et al. (CoRR, 2024)

Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions. - Sarah Wiegreffe; Oyvind Tafjord; Yonatan Belinkov; Hannaneh Hajishirzi; Ashish Sabharwal (CoRR, 2024)

OLMoE: Open Mixture-of-Experts Language Models. - Niklas Muennighoff; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Jacob Morrison; Sewon Min; Weijia Shi; Pete Walsh; Oyvind Tafjord; Nathan Lambert 001; Yuling Gu; Shane Arora; et al. (CoRR, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. - Matt Deitke; Christopher Clark; Sangho Lee 008; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CoRR, 2024)

ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition. - Mohammadreza Salehi; Jae Sung Park; Tanush Yadav; Aditya Kusupati; Ranjay Krishna; Yejin Choi 001; Hannaneh Hajishirzi; Ali Farhadi (CoRR, 2024)

How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold. - Sahil Verma; Royi Rassin; Arnav Das 001; Gantavya Bhatt; Preethi Seshadri; Chirag Shah 001; Jeff A. Bilmes; Hannaneh Hajishirzi; Yanai Elazar (CoRR, 2024)

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. - Akari Asai; Jacqueline He; Rulin Shao; Weijia Shi; Amanpreet Singh; Joseph Chee Chang; Kyle Lo; Luca Soldaini; Sergey Feldman; Mike D'Arcy; David Wadden; Matt Latzke; et al. (CoRR, 2024)

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training. - Nathan Lambert 001; Jacob Morrison; Valentina Pyatkin; Shengyi Huang; Hamish Ivison; Faeze Brahman; Lester James V. Miranda; Alisa Liu; Nouha Dziri; Shane Lyu; Yuling Gu; Saumya Malik; et al. (CoRR, 2024)

Establishing Task Scaling Laws via Compute-Efficient Model Ladders. - Akshita Bhagia; Jiacheng Liu 010; Alexander Wettig; David Heineman; Oyvind Tafjord; Ananya Harsh Jha; Luca Soldaini; Noah A. Smith; Dirk Groeneveld; Pang Wei Koh; Jesse Dodge; Hannaneh Hajishirzi (CoRR, 2024)

HREF: Human Response-Guided Evaluation of Instruction Following in Language Models. - Xinxi Lyu; Yizhong Wang; Hannaneh Hajishirzi; Pradeep Dasigi (CoRR, 2024)

ReFIT: Reranker Relevance Feedback during Inference. - Revanth Gangi Reddy; Pradeep Dasigi; Md. Arafat Sultan; Arman Cohan; Avirup Sil; Heng Ji 001; Hannaneh Hajishirzi (IEEE Data Eng. Bull., 2024)

Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. - Lester James Validad Miranda; Yizhong Wang; Yanai Elazar; Sachin Kumar 009; Valentina Pyatkin; Faeze Brahman; Noah A. Smith; Hannaneh Hajishirzi; Pradeep Dasigi (ACL (1), 2025)

Steering off Course: Reliability Challenges in Steering Language Models. - Patrick Queiroz Da Silva; Hari Sethuraman; Dheeraj Rajagopal; Hannaneh Hajishirzi; Sachin Kumar 009 (ACL (1), 2025)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. - Matt Deitke; Christopher Clark; Sangho Lee 001; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CVPR, 2025)

Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions. - Sarah Wiegreffe; Oyvind Tafjord; Yonatan Belinkov; Hannaneh Hajishirzi; Ashish Sabharwal (ICLR, 2025)

OLMES: A Standard for Language Model Evaluations. - Yuling Gu; Oyvind Tafjord; Bailey Kuehl; Dany Haddad; Jesse Dodge; Hannaneh Hajishirzi (NAACL (Findings), 2025)

A Systematic Examination of Preference Learning through the Lens of Instruction-Following. - Joongwon Kim; Anirudh Goyal; Aston Zhang; Bo Xiong; Rui Hou; Melanie Kambadur; Dhruv Mahajan 001; Hannaneh Hajishirzi; Liang Tan (NAACL (Long Papers), 2025)

ComPO: Community Preferences for Language Model Personalization. - Sachin Kumar 009; Chan Young Park; Yulia Tsvetkov; Noah A. Smith; Hannaneh Hajishirzi (NAACL (Long Papers), 2025)

RewardBench: Evaluating Reward Models for Language Modeling. - Nathan Lambert 001; Valentina Pyatkin; Jacob Morrison; Lester James V. Miranda; Bill Yuchen Lin; Khyathi Raghavi Chandu; Nouha Dziri; Sachin Kumar 009; Tom Zick; Yejin Choi 001; Noah A. Smith; Hannaneh Hajishirzi (NAACL (Findings), 2025)

A Large-Scale Study of Reranker Relevance Feedback at Inference. - Revanth Gangi Reddy; Pradeep Dasigi; Md. Arafat Sultan; Arman Cohan; Avirup Sil; Heng Ji 001; Hannaneh Hajishirzi (SIGIR, 2025)

2 OLMo 2 Furious. - Team OLMo; Pete Walsh; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Shane Arora; Akshita Bhagia; Yuling Gu; Shengyi Huang; Matt Jordan; Nathan Lambert 001; Dustin Schwenk; et al. (CoRR, 2025)

s1: Simple test-time scaling. - Niklas Muennighoff; Zitong Yang; Weijia Shi; Xiang Lisa Li; Li Fei-Fei 001; Hannaneh Hajishirzi; Luke Zettlemoyer; Percy Liang; Emmanuel J. Candès; Tatsunori Hashimoto (CoRR, 2025)

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation. - Alexander Wettig; Kyle Lo; Sewon Min; Hannaneh Hajishirzi; Danqi Chen 001; Luca Soldaini (CoRR, 2025)

EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees. - Zhiyuan Zeng; Yizhong Wang; Hannaneh Hajishirzi; Pang Wei Koh (CoRR, 2025)

OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. - Jiacheng Liu 010; Taylor Blanton; Yanai Elazar; Sewon Min; Yen-Sung Chen; Arnavi Chheda-Kothary; Huy Tran; Byron Bischoff; Eric Marsh; Michael Schmitz 002; Cassidy Trier; Aaron Sarnat; et al. (CoRR, 2025)

ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data. - Tong Chen; Faeze Brahman; Jiacheng Liu 010; Niloofar Mireshghallah; Weijia Shi; Pang Wei Koh; Luke Zettlemoyer; Hannaneh Hajishirzi (CoRR, 2025)

Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training. - William Merrill; Shane Arora; Dirk Groeneveld; Hannaneh Hajishirzi (CoRR, 2025)

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models. - Yike Wang 002; Shangbin Feng; Yulia Tsvetkov; Hannaneh Hajishirzi (CoRR, 2025)

RewardBench 2: Advancing Reward Model Evaluation. - Saumya Malik; Valentina Pyatkin; Sander Land; Jacob Morrison; Noah A. Smith; Hannaneh Hajishirzi; Nathan Lambert 001 (CoRR, 2025)

Spurious Rewards: Rethinking Training Signals in RLVR. - Rulin Shao; Shuyue Stella Li; Rui Xin; Scott Geng; Yiping Wang; Sewoong Oh; Simon Shaolei Du; Nathan Lambert 001; Sewon Min; Ranjay Krishna; Yulia Tsvetkov; Hannaneh Hajishirzi; et al. (CoRR, 2025)

Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index. - Hao Xu; Jiacheng Liu 010; Yejin Choi 001; Noah A. Smith; Hannaneh Hajishirzi (CoRR, 2025)

OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization. - Yiyou Sun; Shawn Hu; Georgia Zhou; Ken Zheng; Hannaneh Hajishirzi; Nouha Dziri; Dawn Song (CoRR, 2025)

ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context. - Joongwon Kim; Anirudh Goyal; Liang Tan; Hannaneh Hajishirzi; Srinivasan Iyer 001; Tianlu Wang (CoRR, 2025)

SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks. - Yilun Zhao 001; Kaiyan Zhang; Tiansheng Hu; Sihong Wu; Ronan Le Bras 001; Taira Anderson; Jonathan Bragg; Joseph Chee Chang; Jesse Dodge; Matt Latzke; Yixin Liu 003; Charles McGrady; et al. (CoRR, 2025)

Generalizing Verifiable Instruction Following. - Valentina Pyatkin; Saumya Malik; Victoria Graf; Hamish Ivison; Shengyi Huang; Pradeep Dasigi; Nathan Lambert 001; Hannaneh Hajishirzi (CoRR, 2025)

FlexOlmo: Open Language Models for Flexible Data Use. - Weijia Shi; Akshita Bhagia; Kevin Farhat; Niklas Muennighoff; Pete Walsh; Jacob Morrison; Dustin Schwenk; Shayne Longpre; Jake Poznanski; Allyson Ettinger; Daogao Liu; Margaret Li; et al. (CoRR, 2025)

Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation. - David Heineman; Valentin Hofmann; Ian Magnusson; Yuling Gu; Noah A. Smith; Hannaneh Hajishirzi; Kyle Lo; Jesse Dodge (CoRR, 2025)