A program for automatically selecting the best output from multiple machine translation engines. - Chris Callison-Burch; Raymond S. Flournoy (MTSummit, 2001)

Bootstrapping Parallel Corpora. - Chris Callison-Burch; Miles Osborne (ParallelTexts@NAACL-HLT, 2003)

Statistical Machine Translation with Word- and Sentence-Aligned Parallel Corpora. - Chris Callison-Burch; David Talbot; Miles Osborne (ACL, 2004)

Improving statistical translation through editing. - Chris Callison-Burch; Colin J. Bannard; Josh Schroeder (EAMT, 2004)

Paraphrasing with Bilingual Parallel Corpora. - Colin J. Bannard; Chris Callison-Burch (ACL, 2005)

Scaling Phrase-Based Statistical Machine Translation to Larger Corpora and Longer Phrases. - Chris Callison-Burch; Colin J. Bannard; Josh Schroeder (ACL, 2005)

A compact data structure for searchable translation memories. - Chris Callison-Burch; Colin J. Bannard; Josh Schroeder (EAMT, 2005)

Edinburgh system description for the 2005 IWSLT speech translation evaluation. - Philipp Koehn; Amittai Axelrod; Alexandra Birch; Chris Callison-Burch; Miles Osborne; David Talbot (IWSLT, 2005)

Constraining the Phrase-Based, Joint Probability Statistical Translation Model. - Alexandra Birch; Chris Callison-Burch; Miles Osborne (AMTA, 2006)

Paraphrase Substitution for Recognizing Textual Entailment. - Wauter Bosma; Chris Callison-Burch (CLEF (Working Notes), 2006)

Re-evaluation the Role of Bleu in Machine Translation Research. - Chris Callison-Burch; Miles Osborne; Philipp Koehn (EACL, 2006)

Improved Statistical Machine Translation Using Paraphrases. - Chris Callison-Burch; Philipp Koehn; Miles Osborne (HLT-NAACL, 2006)

Constraining the Phrase-Based, Joint Probability Statistical Translation Model. - Alexandra Birch; Chris Callison-Burch; Miles Osborne; Philipp Koehn (WMT@HLT-NAACL, 2006)

Moses: Open Source Toolkit for Statistical Machine Translation. - Philipp Koehn; Hieu Hoang; Alexandra Birch; Chris Callison-Burch; Marcello Federico; Nicola Bertoldi; Brooke Cowan; Wade Shen; Christine Moran; Richard Zens; Chris Dyer; Ondrej Bojar; et al. (ACL, 2007)

(Meta-) Evaluation of Machine Translation. - Chris Callison-Burch; Cameron S. Fordyce; Philipp Koehn; Christof Monz; Josh Schroeder (WMT@ACL, 2007)

ParaMetric: An Automatic Evaluation Metric for Paraphrasing. - Chris Callison-Burch; Trevor Cohn; Mirella Lapata (COLING, 2008)

Syntactic Constraints on Paraphrases Extracted from Parallel Corpora. - Chris Callison-Burch (EMNLP, 2008)

Further Meta-Evaluation of Machine Translation. - Chris Callison-Burch; Cameron S. Fordyce; Philipp Koehn; Christof Monz; Josh Schroeder (WMT@ACL, 2008)

Constructing Corpora for the Development and Evaluation of Paraphrase Systems. - Trevor Cohn; Chris Callison-Burch; Mirella Lapata (Comput. Linguistics, 2008)

Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation. - Zhifei Li 001; Chris Callison-Burch; Chris Dyer; Juri Ganitkevitch; Sanjeev Khudanpur; Lane Schwartz; Wren N. G. Thornton; Jonathan Weese; Omar Zaidan (ACL/IJCNLP (Software Demonstrations), 2009)

Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences. - Nikesh Garera; Chris Callison-Burch; David Yarowsky (CoNLL, 2009)

Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk. - Chris Callison-Burch (EMNLP, 2009)

Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases. - Yuval Marton; Chris Callison-Burch; Philip Resnik (EMNLP, 2009)

Feasibility of Human-in-the-loop Minimum Error Rate Training. - Omar Zaidan; Chris Callison-Burch (EMNLP, 2009)

Findings of the 2009 Workshop on Statistical Machine Translation. - Chris Callison-Burch; Philipp Koehn; Christof Monz; Josh Schroeder (WMT@EACL, 2009)

Joshua: An Open Source Toolkit for Parsing-Based Machine Translation. - Zhifei Li 001; Chris Callison-Burch; Chris Dyer; Sanjeev Khudanpur; Lane Schwartz; Wren N. G. Thornton; Jonathan Weese; Omar Zaidan (WMT@EACL, 2009)

Decoding in JoshuaOpen Source, Parsing-Based Machine Translation. - Zhifei Li 001; Chris Callison-Burch; Sanjeev Khudanpur; Wren N. G. Thornton (Prague Bull. Math. Linguistics, 2009)

Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation. - Michael Bloodgood; Chris Callison-Burch (ACL, 2010)

Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach. - Kathryn Baker; Michael Bloodgood; Chris Callison-Burch; Bonnie J. Dorr; Nathaniel Wesley Filardo; Lori S. Levin; Scott Miller; Christine D. Piatko (AMTA, 2010)

Transliterating From All Languages. - Ann Irvine; Chris Callison-Burch; Alexandre Klementiev (AMTA, 2010)

Using Mechanical Turk to Build Machine Translation Evaluation Sets. - Michael Bloodgood; Chris Callison-Burch (Mturk@HLT-NAACL, 2010)

Creating Speech and Language Data With Amazon's Mechanical Turk. - Chris Callison-Burch; Mark Dredze (Mturk@HLT-NAACL, 2010)

Stream-based Translation Models for Statistical Machine Translation. - Abby D. Levenberg; Chris Callison-Burch; Miles Osborne (HLT-NAACL, 2010)

Cheap, Fast and Good Enough: Automatic Speech Recognition with Non-Expert Transcription. - Scott Novotney; Chris Callison-Burch (HLT-NAACL, 2010)

Crowdsourced Accessibility: Elicitation of Wikipedia Articles. - Scott Novotney; Chris Callison-Burch (Mturk@HLT-NAACL, 2010)

Cheap Facts and Counter-Facts. - Rui Wang 005; Chris Callison-Burch (Mturk@HLT-NAACL, 2010)

Predicting Human-Targeted Translation Edit Rate via Untrained Human Annotators. - Omar Zaidan; Chris Callison-Burch (HLT-NAACL, 2010)

Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation. - Chris Callison-Burch; Philipp Koehn; Christof Monz; Kay Peterson; Mark A. Przybocki; Omar Zaidan (WMT@ACL, 2010)

Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies. - Zhifei Li 001; Chris Callison-Burch; Chris Dyer; Juri Ganitkevitch; Ann Irvine; Sanjeev Khudanpur; Lane Schwartz; Wren N. G. Thornton; Ziyuan Wang; Jonathan Weese; Omar Zaidan (WMT@ACL, 2010)

Integrating Output from Specialized Modules in Machine TranslationTransliterations in Joshua. - Ann Irvine; Mike Kayser; Zhifei Li 001; Wren N. G. Thornton; Chris Callison-Burch (Prague Bull. Math. Linguistics, 2010)

Hierarchical Phrase-Based Grammar Extraction in JoshuaSuffix Arrays and Prefix Trees. - Lane Schwartz; Chris Callison-Burch (Prague Bull. Math. Linguistics, 2010)

Visualizing Data Structures in Parsing-Based Machine Translation. - Jonathan Weese; Chris Callison-Burch (Prague Bull. Math. Linguistics, 2010)

Paraphrase Fragment Extraction from Monolingual Comparable Corpora. - Rui Wang 005; Chris Callison-Burch (BUCC@ACL, 2011)

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

Incremental Syntactic Language Models for Phrase-based Translation. - Lane Schwartz; Chris Callison-Burch; William Schuler; Stephen T. Wu (ACL, 2011)

Crowdsourcing Translation: Professional Quality from Non-Professionals. - Omar Zaidan; Chris Callison-Burch (ACL, 2011)

The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content. - Omar Zaidan; Chris Callison-Burch (ACL (2), 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)

Findings of the 2011 Workshop on Statistical Machine Translation. - Chris Callison-Burch; Philipp Koehn; Christof Monz; Omar Zaidan (WMT@EMNLP, 2011)

Joshua 3.0: Syntax-based Machine Translation with the Thrax Grammar Extractor. - Jonathan Weese; Juri Ganitkevitch; Chris Callison-Burch; Matt Post; Adam Lopez (WMT@EMNLP, 2011)

Semi-supervised discriminative language modeling for Turkish ASR. - Arda Çelebi; Hasim Sak; Erinç Dikici; Murat Saraclar; Maider Lehr; Emily Tucker Prud'hommeaux; Puyang Xu; Nathan Glenn; Damianos G. Karakos; Sanjeev Khudanpur; Brian Roark; Kenji Sagae; et al. (ICASSP, 2012)

Hallucinated n-best lists for discriminative language modeling. - Kenji Sagae; Maider Lehr; Emily Tucker Prud'hommeaux; Puyang Xu; Nathan Glenn; Damianos G. Karakos; Sanjeev Khudanpur; Brian Roark; Murat Saraclar; Izhak Shafran; Daniel M. Bikel; Chris Callison-Burch; et al. (ICASSP, 2012)

Continuous space discriminative language modeling. - Puyang Xu; Sanjeev Khudanpur; Maider Lehr; Emily Tucker Prud'hommeaux; Nathan Glenn; Damianos G. Karakos; Brian Roark; Kenji Sagae; Murat Saraclar; Izhak Shafran; Daniel M. Bikel; Chris Callison-Burch; et al. (ICASSP, 2012)

Deriving conversation-based features from unlabeled speech for discriminative language modeling. - Damianos G. Karakos; Brian Roark; Izhak Shafran; Kenji Sagae; Maider Lehr; Emily Tucker Prud'hommeaux; Puyang Xu; Nathan Glenn; Sanjeev Khudanpur; Murat Saraclar; Daniel M. Bikel; Mark Dredze; et al. (INTERSPEECH, 2012)

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

Machine Translation of Arabic Dialects. - Rabih Zbib; Erika Malchiodi; Jacob Devlin; David Stallard; Spyros Matsoukas; Richard M. Schwartz; John Makhoul; Omar Zaidan; 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)

Findings of the 2012 Workshop on Statistical Machine Translation. - Chris Callison-Burch; Philipp Koehn; Christof Monz; Matt Post; Radu Soricut; Lucia Specia (WMT@NAACL-HLT, 2012)

Joshua 4.0: Packing, PRO, and Paraphrases. - Juri Ganitkevitch; Yuan Cao 007; Jonathan Weese; Matt Post; Chris Callison-Burch (WMT@NAACL-HLT, 2012)

Constructing Parallel Corpora for Six Indian Languages via Crowdsourcing. - Matt Post; Chris Callison-Burch; Miles Osborne (WMT@NAACL-HLT, 2012)

Using Categorial Grammar to Label Translation Rules. - Jonathan Weese; Chris Callison-Burch; Adam Lopez (WMT@NAACL-HLT, 2012)

Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT. - Kathrin Baker; Michael Bloodgood; Bonnie J. Dorr; Chris Callison-Burch; Nathaniel Wesley Filardo; Christine D. Piatko; Lori S. Levin; Scott Miller (Comput. Linguistics, 2012)

Dirt Cheap Web-Scale Parallel Text from the Common Crawl. - Jason R. Smith 001; Herve Saint-Amand; Magdalena Plamada; Philipp Koehn; Chris Callison-Burch; Adam Lopez (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)

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

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

Improved speech-to-text translation with the Fisher and Callhome Spanish-English speech translation corpus. - Matt Post; Gaurav Kumar; Adam Lopez; Damianos G. Karakos; Chris Callison-Burch; Sanjeev Khudanpur (IWSLT, 2013)

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

Supervised Bilingual Lexicon Induction with Multiple Monolingual Signals. - Ann Irvine; 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)

Findings of the 2013 Workshop on Statistical Machine Translation. - Ondrej Bojar; Christian Buck; Chris Callison-Burch; Christian Federmann; Barry Haddow; Philipp Koehn; Christof Monz; Matt Post; Radu Soricut; Lucia Specia (WMT@ACL, 2013)

Combining Bilingual and Comparable Corpora for Low Resource Machine Translation. - Ann Irvine; Chris Callison-Burch (WMT@ACL, 2013)

Joshua 5.0: Sparser, Better, Faster, Server. - Matt Post; Juri Ganitkevitch; Luke Orland; Jonathan Weese; Yuan Cao 007; Chris Callison-Burch (WMT@ACL, 2013)

Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT. - Adam Lopez; Matt Post; Chris Callison-Burch; Jonathan Weese; Juri Ganitkevitch; Narges Ahmidi; Olivia Buzek; Leah Hanson; Beaniesh Jamil; Matthias A. Lee; Ya-Ting Lin; Henry Pao; et al. (Trans. Assoc. Comput. Linguistics, 2013)

Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors. - Rui Yan; Mingkun Gao; Ellie Pavlick; Chris Callison-Burch (ACL (1), 2014)

Hallucinating Phrase Translations for Low Resource MT. - Ann Irvine; Chris Callison-Burch (CoNLL, 2014)

Crowdsourcing for grammatical error correction. - Ellie Pavlick; Rui Yan; Chris Callison-Burch (CSCW Companion, 2014)

PARADIGM: Paraphrase Diagnostics through Grammar Matching. - Jonathan Weese; Juri Ganitkevitch; Chris Callison-Burch (EACL, 2014)

Crowd-Workers: Aggregating Information Across Turkers to Help Them Find Higher Paying Work. - Chris Callison-Burch (HCOMP, 2014)

Poetry of the Crowd: A Human Computation Algorithm to Convert Prose into Rhyming Verse. - Quanze Chen; Chenyang Lei; Wei Xu 004; Ellie Pavlick; Chris Callison-Burch (HCOMP, 2014)

Translations of the Callhome Egyptian Arabic corpus for conversational speech translation. - Gaurav Kumar; Yuan Cao 007; Ryan Cotterell; Chris Callison-Burch; Daniel Povey; Sanjeev Khudanpur (IWSLT, 2014)

A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic. - Ryan Cotterell; Chris Callison-Burch (LREC, 2014)

The Multilingual Paraphrase Database. - Juri Ganitkevitch; Chris Callison-Burch (LREC, 2014)

The American Local News Corpus. - Ann Irvine; Joshua Langfus; Chris Callison-Burch (LREC, 2014)

Using Comparable Corpora to Adapt MT Models to New Domains. - Ann Irvine; Chris Callison-Burch (WMT@ACL, 2014)

Arabic Dialect Identification. - Omar Zaidan; Chris Callison-Burch (Comput. Linguistics, 2014)

The Language Demographics of Amazon Mechanical Turk. - Ellie Pavlick; Matt Post; Ann Irvine; Dmitry Kachaev; Chris Callison-Burch (Trans. Assoc. Comput. Linguistics, 2014)

Extracting Lexically Divergent Paraphrases from Twitter. - Wei Xu 004; Alan Ritter; Chris Callison-Burch; William B. Dolan; Yangfeng Ji (Trans. Assoc. Comput. Linguistics, 2014)

Effectively Crowdsourcing Radiology Report Annotations. - Anne Cocos; Aaron J. Masino; Ting Qian; Ellie Pavlick; Chris Callison-Burch (Louhi@EMNLP, 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)

Automatically Scoring Freshman Writing: A Preliminary Investigation. - Courtney Napoles; Chris Callison-Burch (BEA@NAACL-HLT, 2015)

Extracting Structured Information via Automatic + Human Computation. - Ellie Pavlick; Chris Callison-Burch (HCOMP, 2015)

Crowdsourcing for NLP. - Chris Callison-Burch; Lyle H. Ungar; Ellie Pavlick (HLT-NAACL, 2015)

Cost Optimization in Crowdsourcing Translation: Low cost translations made even cheaper. - Mingkun Gao; Wei Xu 004; Chris Callison-Burch (HLT-NAACL, 2015)

SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT). - Wei Xu 004; Chris Callison-Burch; Bill Dolan (SemEval@NAACL-HLT, 2015)

Ideological Perspective Detection Using Semantic Features. - Heba Elfardy; Mona T. Diab; Chris Callison-Burch (*SEM@NAACL-HLT, 2015)

Use of Modality and Negation in Semantically-Informed Syntactic MT. - Kathryn Baker; Michael Bloodgood; Bonnie J. Dorr; Chris Callison-Burch; Nathaniel Wesley Filardo; Christine D. Piatko; Lori S. Levin; Scott Miller (CoRR, 2015)

Problems in Current Text Simplification Research: New Data Can Help. - Wei Xu 004; Chris Callison-Burch; Courtney Napoles (Trans. Assoc. Comput. Linguistics, 2015)

Most "babies" are "little" and most "problems" are "huge": Compositional Entailment in Adjective-Nouns. - Ellie Pavlick; Chris Callison-Burch (ACL (1), 2016)

Simple PPDB: A Paraphrase Database for Simplification. - Ellie Pavlick; Chris Callison-Burch (ACL (2), 2016)

Tense Manages to Predict Implicative Behavior in Verbs. - Ellie Pavlick; Chris Callison-Burch (EMNLP, 2016)

The Gun Violence Database: A new task and data set for NLP. - Ellie Pavlick; Heng Ji 001; Xiaoman Pan; Chris Callison-Burch (EMNLP, 2016)

Clustering Paraphrases by Word Sense. - Anne Cocos; Chris Callison-Burch (HLT-NAACL, 2016)

Sentential Paraphrasing as Black-Box Machine Translation. - Courtney Napoles; Chris Callison-Burch; Matt Post (HLT-NAACL Demos, 2016)

So-Called Non-Subsective Adjectives. - Ellie Pavlick; Chris Callison-Burch (*SEM@ACL, 2016)

The Gun Violence Database. - Ellie Pavlick; Chris Callison-Burch (CoRR, 2016)

End-to-end statistical machine translation with zero or small parallel texts. - Ann Irvine; Chris Callison-Burch (Nat. Lang. Eng., 2016)

Optimizing Statistical Machine Translation for Text Simplification. - Wei Xu 004; Courtney Napoles; Ellie Pavlick; Quanze Chen; Chris Callison-Burch (Trans. Assoc. Comput. Linguistics, 2016)

Constructing an Alias List for Named Entities during an Event. - Anietie Andy; Mark Dredze; Mugizi Rwebangira; Chris Callison-Burch (NUT@EMNLP, 2017)

Systematically Adapting Machine Translation for Grammatical Error Correction. - Courtney Napoles; Chris Callison-Burch (BEA@EMNLP, 2017)

The Language of Place: Semantic Value from Geospatial Context. - Anne Cocos; Chris Callison-Burch (EACL (2), 2017)

KnowYourNyms? A Game of Semantic Relationships. - Ross Mechanic; Dean Fulgoni; Hannah Cutler; Sneha Rajana; Zheyuan Liu 006; Bradley Jackson; Anne Cocos; Chris Callison-Burch; Marianna Apidianaki (EMNLP (System Demonstrations), 2017)

Learning Translations via Matrix Completion. - Derry Wijaya; Brendan Callahan; John Hewitt; Jie Gao; Xiao Ling; Marianna Apidianaki; Chris Callison-Burch (EMNLP, 2017)

Mapping the Paraphrase Database to WordNet. - Anne Cocos; Marianna Apidianaki; Chris Callison-Burch (*SEM, 2017)

Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network. - Sneha Rajana; Chris Callison-Burch; Marianna Apidianaki; Vered Shwartz (*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)

A Comprehensive Analysis of Bilingual Lexicon Induction. - Ann Irvine; Chris Callison-Burch (Comput. Linguistics, 2017)

Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation. - Anne Cocos; Ting Qian; Chris Callison-Burch; Aaron J. Masino (J. Biomed. Informatics, 2017)

Learning Translations via Images with a Massively Multilingual Image Dataset. - John Hewitt; Daphne Ippolito; Brendan Callahan; Reno Kriz; Derry Tanti Wijaya; Chris Callison-Burch (ACL (1), 2018)

A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk. - Kotaro Hara; Abigail Adams; Kristy Milland; Saiph Savage; Chris Callison-Burch; Jeffrey P. Bigham (CHI, 2018)

Learning Scalar Adjective Intensity from Paraphrases. - Anne Cocos; Veronica Wharton; Ellie Pavlick; Marianna Apidianaki; Chris Callison-Burch (EMNLP, 2018)

Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package. - Ajay Patel; Alexander Sands; Chris Callison-Burch; Marianna Apidianaki (EMNLP (Demonstration), 2018)

Introducing NIEUW: Novel Incentives and Workflows for Eliciting Linguistic Data. - Christopher Cieri; James Fiumara; Mark Y. Liberman; Chris Callison-Burch; Jonathan Wright (LREC, 2018)

Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation. - Marianna Apidianaki; Guillaume Wisniewski; Anne Cocos; Chris Callison-Burch (NAACL-HLT (2), 2018)

Comparing Constraints for Taxonomic Organization. - Anne Cocos; Marianna Apidianaki; Chris Callison-Burch (NAACL-HLT, 2018)

Simplification Using Paraphrases and Context-Based Lexical Substitution. - Reno Kriz; Eleni Miltsakaki; Marianna Apidianaki; Chris Callison-Burch (NAACL-HLT, 2018)

PerspectroScope: A Window to the World of Diverse Perspectives. - Sihao Chen; Daniel Khashabi; Chris Callison-Burch; Dan Roth 001 (ACL (3), 2019)

Comparison of Diverse Decoding Methods from Conditional Language Models. - Daphne Ippolito; Reno Kriz; João Sedoc; Maria Kustikova; Chris Callison-Burch (ACL (1), 2019)

Worker Demographics and Earnings on Amazon Mechanical Turk: An Exploratory Analysis. - Kotaro Hara; Abigail Adams; Kristy Milland; Saiph Savage; Benjamin V. Hanrahan; Jeffrey P. Bigham; Chris Callison-Burch (CHI Extended Abstracts, 2019)

A Comparison of Context-sensitive Models for Lexical Substitution. - Aina Garí Soler; Anne Cocos; Marianna Apidianaki; Chris Callison-Burch (IWCS (1), 2019)

Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. - Sihao Chen; Daniel Khashabi; Wenpeng Yin 001; Chris Callison-Burch; Dan Roth 001 (NAACL-HLT (1), 2019)

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification. - Reno Kriz; João Sedoc; Marianna Apidianaki; Carolina Zheng; Gaurav Kumar; Eleni Miltsakaki; Chris Callison-Burch (NAACL-HLT (1), 2019)

ChatEval: A Tool for Chatbot Evaluation. - João Sedoc; Daphne Ippolito; Arun Kirubarajan; Jai Thirani; Lyle H. Ungar; Chris Callison-Burch (NAACL-HLT (Demonstrations), 2019)

Anonymization of Sensitive Information in Medical Health Records. - Bhavna Saluja; Gaurav Kumar; João Sedoc; Chris Callison-Burch (IberLEF@SEPLN, 2019)

Bilingual is At Least Monolingual (BALM): A Novel Translation Algorithm that Encodes Monolingual Priors. - Jeffrey Cheng; Chris Callison-Burch (CoRR, 2019)

Human and Automatic Detection of Generated Text. - Daphne Ippolito; Daniel Duckworth; Chris Callison-Burch; Douglas Eck (CoRR, 2019)

Paraphrase-Sense-Tagged Sentences. - Anne Cocos; Chris Callison-Burch (Trans. Assoc. Comput. Linguistics, 2019)

Automatic Detection of Generated Text is Easiest when Humans are Fooled. - Daphne Ippolito; Daniel Duckworth; Chris Callison-Burch; Douglas Eck (ACL, 2020)

Toward Better Storylines with Sentence-Level Language Models. - Daphne Ippolito; David Grangier; Douglas Eck; Chris Callison-Burch (ACL, 2020)

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text. - Liam Dugan; Daphne Ippolito; Arun Kirubarajan; Chris Callison-Burch (EMNLP (Demos), 2020)

Reasoning about Goals, Steps, and Temporal Ordering with WikiHow. - Li Zhang 039; Qing Lyu 001; Chris Callison-Burch (EMNLP (1), 2020)

Intent Detection with WikiHow. - Li Zhang 039; Qing Lyu 001; Chris Callison-Burch (AACL/IJCNLP, 2020)

Automatic Standardization of Colloquial Persian. - Mohammad Sadegh Rasooli; Farzane Bakhtyari; Fatemeh Shafiei; Mahsa Ravanbakhsh; Chris Callison-Burch (CoRR, 2020)

Simple-QE: Better Automatic Quality Estimation for Text Simplification. - Reno Kriz; Marianna Apidianaki; Chris Callison-Burch (CoRR, 2020)

The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notes. - Aditya Kashyap; Heather Burris; Chris Callison-Burch; Mary Regina Boland (Int. J. Medical Informatics, 2020)

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

BiSECT: Learning to Split and Rephrase Sentences with Bitexts. - Joongwon Kim; Mounica Maddela; Reno Kriz; Wei Xu 004; Chris Callison-Burch (EMNLP (1), 2021)

"Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks. - Mohammad Sadegh Rasooli; Chris Callison-Burch; Derry Tanti Wijaya (EMNLP (1), 2021)

Visual Goal-Step Inference using wikiHow. - Yue Yang 006; Artemis Panagopoulou; Qing Lyu 001; Li Zhang 039; Mark Yatskar; Chris Callison-Burch (EMNLP (1), 2021)

Goal-Oriented Script Construction. - Qing Lyu 001; Li Zhang 039; Chris Callison-Burch (INLG, 2021)

Cultural and Geographical Influences on Image Translatability of Words across Languages. - Nikzad Khani; Isidora Chara Tourni; Mohammad Sadegh Rasooli; Chris Callison-Burch; Derry Tanti Wijaya (NAACL-HLT, 2021)

RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. - Haoyang Wen; Ying Lin; Tuan Manh Lai; Xiaoman Pan; Sha Li; Xudong Lin 003; Ben Zhou; Manling Li; Haoyu Wang 005; Hongming Zhang 009; Xiaodong Yu 003; Alexander Dong; et al. (NAACL-HLT (Demonstrations), 2021)

SynthBio: A Case Study in Faster Curation of Text Datasets. - Ann Yuan; Daphne Ippolito; Vitaly Nikolaev; Chris Callison-Burch; Andy Coenen; Sebastian Gehrmann (NeurIPS Datasets and Benchmarks, 2021)

"Wikily" Neural Machine Translation Tailored to Cross-Lingual Tasks. - Mohammad Sadegh Rasooli; Chris Callison-Burch; Derry Tanti Wijaya (CoRR, 2021)

SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets. - Ann Yuan; Daphne Ippolito; Vitaly Nikolaev; Chris Callison-Burch; Andy Coenen; Sebastian Gehrmann (CoRR, 2021)

Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval. - Yue Yang 006; Joongwon Kim; Artemis Panagopoulou; Mark Yatskar; Chris Callison-Burch (CoRR, 2021)

A Feasibility Study of Answer-Unaware Question Generation for Education. - Liam Dugan; Eleni Miltsakaki; Shriyash Upadhyay; Etan Ginsberg; Hannah Gonzalez; DaHyeon Choi; Chuning Yuan; Chris Callison-Burch (ACL (Findings), 2022)

Deduplicating Training Data Makes Language Models Better. - Katherine Lee; Daphne Ippolito; Andrew Nystrom; Chiyuan Zhang; Douglas Eck; Chris Callison-Burch; Nicholas Carlini (ACL (1), 2022)

A Recipe for Arbitrary Text Style Transfer with Large Language Models. - Emily Reif; Daphne Ippolito; Ann Yuan; Andy Coenen; Chris Callison-Burch; Jason Wei (ACL (2), 2022)

Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. - Shuyan Zhou; Li Zhang 039; Yue Yang 006; Qing Lyu 001; Pengcheng Yin; Chris Callison-Burch; Graham Neubig (ACL (1), 2022)

Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence. - Chris Callison-Burch; Gaurav Singh Tomar; Lara J. Martin; Daphne Ippolito; Suma Bailis; David Reitter (EMNLP, 2022)

Unsupervised Entity Linking with Guided Summarization and Multiple-Choice Selection. - Young Min Cho; Li Zhang 039; Chris Callison-Burch (EMNLP, 2022)

Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction. - Yue Yang 006; Artemis Panagopoulou; Marianna Apidianaki; Mark Yatskar; Chris Callison-Burch (EMNLP (Findings), 2022)

Did that happen? Predicting Social Media Posts that are Indicative of what happened in a scene: A case study of a TV show. - Anietie Andy; Reno Kriz; Sharath Chandra Guntuku; Derry Tanti Wijaya; Chris Callison-Burch (LREC, 2022)

Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases. - Qing Lyu 001; Zheng Hua; Daoxin Li; Li Zhang 039; Marianna Apidianaki; Chris Callison-Burch (NAACL-HLT, 2022)

The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank. - Daphne Ippolito; Liam Dugan; Emily Reif; Ann Yuan; Andy Coenen; Chris Callison-Burch (NAACL-HLT (Findings), 2022)

CIS2: A Simplified Commonsense Inference Evaluation for Story Prose. - Bryan Li; Lara J. Martin; Chris Callison-Burch (CoRR, 2022)

A Feasibility Study of Answer-Agnostic Question Generation for Education. - Liam Dugan; Eleni Miltsakaki; Shriyash Upadhyay; Etan Ginsberg; Hannah Gonzalez; Dayheon Choi; Chuning Yuan; Chris Callison-Burch (CoRR, 2022)

Creating Multimedia Summaries Using Tweets and Videos. - Anietie Andy; Siyi Liu; Daphne Ippolito; Reno Kriz; Chris Callison-Burch; Derry Wijaya (CoRR, 2022)

Empathic Conversations: A Multi-level Dataset of Contextualized Conversations. - Damilola Omitaomu; Shabnam Tafreshi; Tingting Liu; Sven Buechel; Chris Callison-Burch; Johannes C. Eichstaedt; Lyle H. Ungar; João Sedoc (CoRR, 2022)

Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation. - Bryan Li; Mohammad Sadegh Rasooli; Ajay Patel; Chris Callison-Burch (CoRR, 2022)

Low-Resource Authorship Style Transfer with In-Context Learning. - Ajay Patel; Nicholas Andrews; Chris Callison-Burch (CoRR, 2022)

An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. - Pei Zhou; Andrew Zhu; Jennifer Hu 001; Jay Pujara; Xiang Ren 001; Chris Callison-Burch; Yejin Choi 001; Prithviraj Ammanabrolu (CoRR, 2022)

CORRPUS: Detecting Story Inconsistencies via Codex-Bootstrapped Neurosymbolic Reasoning. - Yijiang River Dong; Lara J. Martin; Chris Callison-Burch (CoRR, 2022)

Rewriting the Script: Adapting Text Instructions for Voice Interaction. - Alyssa Hwang; Natasha Oza; Chris Callison-Burch; Andrew Head (Conference on Designing Interactive Systems, 2023)

Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text. - Liam Dugan; Daphne Ippolito; Arun Kirubarajan; Sherry Shi; Chris Callison-Burch (AAAI, 2023)

CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding. - Yijiang River Dong; Lara J. Martin; Chris Callison-Burch (ACL (Findings), 2023)

Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. - Sha Li; Ruining Zhao; Manling Li; Heng Ji 001; Chris Callison-Burch; Jiawei Han 001 (ACL (1), 2023)

Explanation-based Finetuning Makes Models More Robust to Spurious Cues. - Josh Magnus Ludan; Yixuan Meng; Tai Nguyen 005; Saurabh Shah; Qing Lyu 001; Marianna Apidianaki; Chris Callison-Burch (ACL (1), 2023)

Human-in-the-loop Schema Induction. - Tianyi Zhang; Isaac Tham; Zhaoyi Hou; Jiaxuan Ren; Leon Zhou; Hainiu Xu; Li Zhang 039; Lara J. Martin; Rotem Dror; Sha Li; Heng Ji 001; Martha Palmer; et al. (ACL (demo), 2023)

I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. - Pei Zhou; Andrew Zhu; Jennifer Hu 001; Jay Pujara; Xiang Ren 001; Chris Callison-Burch; Yejin Choi 001; Prithviraj Ammanabrolu (ACL (1), 2023)

FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information. - Andrew Zhu; Karmanya Aggarwal; Alexander H. Feng; Lara J. Martin; Chris Callison-Burch (ACL (1), 2023)

CALYPSO: LLMs as Dungeon Master's Assistants. - Andrew Zhu; Lara J. Martin; Andrew Head; Chris Callison-Burch (AIIDE, 2023)

Enhancing Human Summaries for Question-Answer Generation in Education. - Hannah Gonzalez; Liam Dugan; Eleni Miltsakaki; Zhiqi Cui; Jiaxuan Ren; Bryan Li; Shriyash Upadhyay; Etan Ginsberg; Chris Callison-Burch (BEA@ACL, 2023)

Automatically Generated Summaries of Video Lectures May Enhance Students' Learning Experience. - Hannah Gonzalez; Jiening Li; Helen Jin; Jiaxuan Ren; Hongyu Zhang; Ayotomiwa Akinyele; Adrian Wang; Eleni Miltsakaki; Ryan S. Baker 001; Chris Callison-Burch (BEA@ACL, 2023)

Improving Mathematics Tutoring With A Code Scratchpad. - Shriyash Upadhyay; Etan Ginsberg; Chris Callison-Burch (BEA@ACL, 2023)

Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification. - Yue Yang 006; Artemis Panagopoulou; Shenghao Zhou; Daniel Jin; Chris Callison-Burch; Mark Yatskar (CVPR, 2023)

Learn With Martian: A Tool For Creating Assignments That Can Write And Re-Write Themselves. - Shriyash Upadhyay; Chris Callison-Burch; Etan Ginsberg (EACL (System Demonstrations), 2023)

Causal Reasoning of Entities and Events in Procedural Texts. - Li Zhang 039; Hainiu Xu; Yue Yang 006; Shuyan Zhou; Weiqiu You; Manni Arora; Chris Callison-Burch (EACL (Findings), 2023)

PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale. - Bryan Li; Chris Callison-Burch (EMNLP (Findings), 2023)

Learning Interpretable Style Embeddings via Prompting LLMs. - Ajay Patel; Delip Rao; Ansh Kothary; Kathleen R. McKeown; Chris Callison-Burch (EMNLP (Findings), 2023)

Bidirectional Language Models Are Also Few-shot Learners. - Ajay Patel; Bryan Li; Mohammad Sadegh Rasooli; Noah Constant; Colin Raffel; Chris Callison-Burch (ICLR, 2023)

Faithful Chain-of-Thought Reasoning. - Qing Lyu 001; Shreya Havaldar; Adam Stein; Li Zhang 039; Delip Rao; Eric Wong 001; Marianna Apidianaki; Chris Callison-Burch (IJCNLP (1), 2023)

Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models. - Liam Dugan; Anshul Wadhawan; Kyle Spence; Chris Callison-Burch; Morgan McGuire; Victor B. Zordan (INTERSPEECH, 2023)

Representation of Lexical Stylistic Features in Language Models' Embedding Space. - Qing Lyu 001; Marianna Apidianaki; Chris Callison-Burch (*SEM@ACL, 2023)

Language Models are Drummers: Drum Composition with Natural Language Pre-Training. - Li Zhang 039; Chris Callison-Burch (CoRR, 2023)

Human-in-the-Loop Schema Induction. - Tianyi Zhang; Isaac Tham; Zhaoyi Hou; Jiaxuan Ren; Liyang Zhou; Hainiu Xu; Li Zhang 039; Lara J. Martin; Rotem Dror; Sha Li; Heng Ji 001; Martha Palmer; et al. (CoRR, 2023)

Exploring the Curious Case of Code Prompts. - Li Zhang 039; Liam Dugan; Hainiu Xu; Chris Callison-Burch (CoRR, 2023)

Learning Interpretable Style Embeddings via Prompting LLMs. - Ajay Patel; Delip Rao; Chris Callison-Burch (CoRR, 2023)

This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models. - Bryan Li; Chris Callison-Burch (CoRR, 2023)

CALYPSO: LLMs as Dungeon Masters' Assistants. - Andrew Zhu; Lara J. Martin; Andrew Head; Chris Callison-Burch (CoRR, 2023)

Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications. - Andrew Zhu; Liam Dugan; Alyssa Hwang; Chris Callison-Burch (CoRR, 2023)

CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization. - Bodhisattwa Prasad Majumder; Bhavana Dalvi Mishra; Peter A. Jansen; Oyvind Tafjord; Niket Tandon; Li Zhang 039; Chris Callison-Burch; Peter Clark (CoRR, 2023)

Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck. - Josh Magnus Ludan; Qing Lyu 001; Yue Yang 006; Liam Dugan; Mark Yatskar; Chris Callison-Burch (CoRR, 2023)

Grounded Intuition of GPT-Vision's Abilities with Scientific Images. - Alyssa Hwang; Andrew Head; Chris Callison-Burch (CoRR, 2023)

Report of the 1st Workshop on Generative AI and Law. - A. Feder Cooper; Katherine Lee; James Grimmelmann; Daphne Ippolito; Christopher Callison-Burch; Christopher A. Choquette-Choo; Niloofar Mireshghallah; Miles Brundage; David Mimno; Madiha Zahrah Choksi; Jack M. Balkin; Nicholas Carlini; et al. (CoRR, 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)

A deep learning method to detect opioid prescription and opioid use disorder from electronic health records. - Aditya Kashyap; Chris Callison-Burch; Mary Regina Boland (Int. J. Medical Informatics, 2023)

ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer. - Zachary Horvitz; Ajay Patel; Chris Callison-Burch; Zhou Yu; Kathleen R. McKeown (AAAI, 2024)

RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. - Liam Dugan; Alyssa Hwang; Filip Trhlík; Andrew Zhu; Josh Magnus Ludan; Hainiu Xu; Daphne Ippolito; Chris Callison-Burch (ACL (1), 2024)

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows. - Ajay Patel; Colin Raffel; Chris Callison-Burch (ACL (1), 2024)

FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models. - Andrew Zhu; Alyssa Hwang; Liam Dugan; Chris Callison-Burch (ACL (Short Papers), 2024)

Choice-75: A Dataset on Decision Branching in Script Learning. - Zhaoyi Hou; Li Zhang 039; Chris Callison-Burch (LREC/COLING, 2024)

Holodeck: Language Guided Generation of 3D Embodied AI Environments. - Yue Yang 006; Fan-Yun Sun; Luca Weihs; Eli VanderBilt; Alvaro Herrasti; Winson Han; Jiajun Wu 001; Nick Haber; Ranjay Krishna; Lingjie Liu; Chris Callison-Burch; Mark Yatskar; et al. (CVPR, 2024)

OpenPI2.0: An Improved Dataset for Entity Tracking in Texts. - Li Zhang 039; Hainiu Xu; Abhinav Kommula; Chris Callison-Burch; Niket Tandon (EACL (1), 2024)

CoMo: Controllable Motion Generation Through Language Guided Pose Code Editing. - Yiming Huang; Weilin Wan 001; Yue Yang 006; Chris Callison-Burch; Mark Yatskar; Lingjie Liu (ECCV (29), 2024)

TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings. - Zachary Horvitz; Ajay Patel; Kanishk Singh; Chris Callison-Burch; Kathleen R. McKeown; Zhou Yu (EMNLP (Findings), 2024)

MiRAGeNews: Multimodal Realistic AI-Generated News Detection. - Runsheng Huang; Liam Dugan; Yue Yang 006; Chris Callison-Burch (EMNLP (Findings), 2024)

This Land is Your, My Land: Evaluating Geopolitical Bias in Language Models through Territorial Disputes. - Bryan Li; Samar Haider; Chris Callison-Burch (NAACL-HLT, 2024)

A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis. - Yue Yang 006; Mona Gandhi; Yufei Wang; Yifan Wu; Michael S. Yao; Chris Callison-Burch; James C. Gee; Mark Yatskar (NeurIPS, 2024)

PaCE: Parsimonious Concept Engineering for Large Language Models. - Jinqi Luo; Tianjiao Ding; Kwan Ho Ryan Chan; Darshan Thaker; Aditya Chattopadhyay; Chris Callison-Burch; René Vidal (NeurIPS, 2024)

PDDLEGO: Iterative Planning in Textual Environments. - Li Zhang 039; Peter A. Jansen; Tianyi Zhang; Peter Clark; Chris Callison-Burch; Niket Tandon (*SEM@NAACL, 2024)

Towards Faithful Model Explanation in NLP: A Survey. - Qing Lyu 001; Marianna Apidianaki; Chris Callison-Burch (Comput. Linguistics, 2024)

FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models. - Andrew Zhu; Alyssa Hwang; Liam Dugan; Chris Callison-Burch (CoRR, 2024)

PROC2PDDL: Open-Domain Planning Representations from Texts. - Tianyi Zhang; Li Zhang 039; Zhaoyi Hou; Ziyu Wang; Yuling Gu; Peter Clark; Chris Callison-Burch; Niket Tandon (CoRR, 2024)

Evaluating Vision-Language Models on Bistable Images. - Artemis Panagopoulou; Coby Melkin; Chris Callison-Burch (CoRR, 2024)

Large Language Models Can Self-Improve At Web Agent Tasks. - Ajay Patel; Markus Hofmarcher; Claudiu Leoveanu-Condrei; Marius-Constantin Dinu; Chris Callison-Burch; Sepp Hochreiter (CoRR, 2024)

ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems. - Andrew Zhu; Liam Dugan; Chris Callison-Burch (CoRR, 2024)

You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing AI Game Masters with Function Calling. - Jaewoo Song; Andrew Zhu; Chris Callison-Burch (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)

Uncovering Differences in Persuasive Language in Russian versus English Wikipedia. - Bryan Li; Aleksey Panasyuk; Chris Callison-Burch (CoRR, 2024)

BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented Generation. - Bryan Li; Samar Haider; Fiona Luo; Adwait Agashe; Chris Callison-Burch (CoRR, 2024)

WithdrarXiv: A Large-Scale Dataset for Retraction Study. - Delip Rao; Jonathan Young; Thomas Dietterich; Chris Callison-Burch (CoRR, 2024)

WHAT-IF: Exploring Branching Narratives by Meta-Prompting Large Language Models. - Runsheng Huang; Lara J. Martin; Chris Callison-Burch (CoRR, 2024)

Calibrating Large Language Models with Sample Consistency. - Qing Lyu 001; Kumar Shridhar; Chaitanya Malaviya; Li Zhang 039; Yanai Elazar; Niket Tandon; Marianna Apidianaki; Mrinmaya Sachan; Chris Callison-Burch (AAAI, 2025)

Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation. - Yue Yang 006; Ajay Patel; Matt Deitke; Tanmay Gupta; Luca Weihs; Andrew Head; Mark Yatskar; Chris Callison-Burch; Ranjay Krishna; Aniruddha Kembhavi; Christopher Clark (ACL (1), 2025)

Multilingual Retrieval Augmented Generation for Culturally-Sensitive Tasks: A Benchmark for Cross-lingual Robustness. - Bryan Li; Fiona Luo; Samar Haider; Adwait Agashe; Siyu Li; Runqi Liu; Miranda Muqing Miao; Shriya Ramakrishnan; Yuan Yuan; Chris Callison-Burch (ACL (Findings), 2025)

mStyleDistance: Multilingual Style Embeddings and their Evaluation. - Justin Qiu; Jiacheng Zhu; Ajay Patel; Marianna Apidianaki; Chris Callison-Burch (ACL (Findings), 2025)

Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage. - Jenny S. Wang; Samar Haider; Amir Tohidi; Anushkaa Gupta; Yuxuan Zhang; Chris Callison-Burch; David M. Rothschild; Duncan J. Watts (CHI, 2025)

GenAI Content Detection Task 3: Cross-Domain Machine Generated Text Detection Challenge. - Liam Dugan; Andrew Zhu; Firoj Alam; Preslav Nakov; Marianna Apidianaki; Chris Callison-Burch (COLING Workshops, 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)

Concept Lancet: Image Editing with Compositional Representation Transplant. - Jinqi Luo; Tianjiao Ding; Kwan Ho Ryan Chan; Hancheng Min; Chris Callison-Burch; René Vidal (CVPR, 2025)

ViUniT: Visual Unit Tests for More Robust Visual Programming. - Artemis Panagopoulou; Honglu Zhou; Silvio Savarese; Caiming Xiong; Chris Callison-Burch; Mark Yatskar; Juan Carlos Niebles (CVPR, 2025)

StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples. - Ajay Patel; Jiacheng Zhu; Justin Qiu; Zachary Horvitz; Marianna Apidianaki; Kathleen McKeown; Chris Callison-Burch (NAACL (Long Papers), 2025)

NSF-SciFy: Mining the NSF Awards Database for Scientific Claims. - Delip Rao; Weiqiu You; Eric Wong 001; Chris Callison-Burch (CoRR, 2025)

Domain Gating Ensemble Networks for AI-Generated Text Detection. - Arihant Tripathi; Liam Dugan; Charis Gao; Maggie Huan; Emma Jin; Peter Zhang; David Zhang; Julia Zhao; Chris Callison-Burch (CoRR, 2025)

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay. - Andrew Zhu; Evan Osgood; Chris Callison-Burch (CoRR, 2025)

Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D. - Artemis Panagopoulou; Le Xue; Honglu Zhou; Silvio Savarese; Ran Xu 001; Caiming Xiong; Chris Callison-Burch; Mark Yatskar; Juan Carlos Niebles (CoRR, 2025)

Controlling Difficulty of Generated Text for AI-Assisted Language Learning. - Meiqing Jin; Liam Dugan; Chris Callison-Burch (CoRR, 2025)

Probabilistic Soundness Guarantees in LLM Reasoning Chains. - Weiqiu You; Anton Xue; Shreya Havaldar; Delip Rao; Helen Jin; Chris Callison-Burch; Eric Wong 001 (CoRR, 2025)

HOLODECK 2.0: Vision-Language-Guided 3D World Generation with Editing. - Zixuan Bian; Ruohan Ren; Yue Yang 006; Chris Callison-Burch (CoRR, 2025)