Spoken language translation with MID-90's technology: a case study. - Manny Rayner; Ivan Bretan; David M. Carter; Michael Collins 001; Vassilios Digalakis; Björn Gambäck; Jaan Kaja; Jussi Karlgren; Bertil Lyberg; Stephen G. Pulman; Patti Price; Christer Samuelsson (EUROSPEECH, 1993)

Prepositional Phrase Attachment through a Backed-off Model. - Michael Collins 001; James Brooks (VLC@ACL, 1995)

University of Pennsylvania: description of the University of Pennsylvania system used for MUC-6. - Breck Baldwin; Michael Collins 001; Jason Eisner; Adwait Ratnaparkhi; Joseph Rosenzweig; Anoop Sarkar (MUC, 1995)

A New Statistical Parser Based on Bigram Lexical Dependencies. - Michael Collins 001 (ACL, 1996)

Three Generative, Lexicalised Models for Statistical Parsing. - Michael Collins 001 (ACL, 1997)

Semantic Tagging using a Probabilistic Context Free Grammar. - Michael Collins 001; Scott Miller (VLC@COLING/ACL, 1998)

A Statistical Parser for Czech. - Michael Collins 001; Jan Hajic; Lance A. Ramshaw; Christoph Tillmann (ACL, 1999)

Unsupervised Models for Named Entity Classification. - Michael Collins 001; Yoram Singer (EMNLP, 1999)

AT&T at TREC-8. - Amit Singhal 001; Steven P. Abney; Michiel Bacchiani; Michael Collins 001; Donald Hindle; Fernando C. N. Pereira (TREC, 1999)

The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts. - Regina Barzilay; Michael Collins 001; Julia Hirschberg; Steve Whittaker 001 (AAAI/IAAI, 2000)

Answer Extraction. - Steven P. Abney; Michael Collins 001; Amit Singhal 001 (ANLP, 2000)

Improving intonational phrasing with syntactic information. - Philipp Koehn; Steven P. Abney; Julia Hirschberg; Michael Collins 001 (ICASSP, 2000)

Discriminative Reranking for Natural Language Parsing. - Michael Collins 001 (ICML, 2000)

Parameter Estimation for Statistical Parsing Models: Theory and Practice of Distribution-Free Methods. - Michael Collins 001 (IWPT, 2001)

Convolution Kernels for Natural Language. - Michael Collins 001; Nigel Duffy (NIPS, 2001)

A Generalization of Principal Components Analysis to the Exponential Family. - Michael Collins 001; Sanjoy Dasgupta; Robert E. Schapire (NIPS, 2001)

Ranking Algorithms for Named Entity Extraction: Boosting and the Voted Perceptron. - Michael Collins 001 (ACL, 2002)

New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron. - Michael Collins 001; Nigel Duffy (ACL, 2002)

Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms. - Michael Collins 001 (EMNLP, 2002)

Logistic Regression, AdaBoost and Bregman Distances. - Michael Collins 001; Robert E. Schapire; Yoram Singer (Mach. Learn., 2002)

Tutorial: Machine Learning Methods in Natural Language Processing. - Michael Collins 001 (COLT, 2003)

Head-Driven Statistical Models for Natural Language Parsing. - Michael Collins 001 (Comput. Linguistics, 2003)

Incremental Parsing with the Perceptron Algorithm. - Michael Collins 001; Brian Roark (ACL, 2004)

Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm. - Brian Roark; Murat Saraclar; Michael Collins 001; Mark Johnson 001 (ACL, 2004)

Max-Margin Parsing. - Ben Taskar; Dan Klein 001; Michael Collins 001; Daphne Koller; Christopher D. Manning (EMNLP, 2004)

Corrective language modeling for large vocabulary ASR with the perceptron algorithm. - Brian Roark; Murat Saraclar; Michael Collins 001 (ICASSP (1), 2004)

Exponentiated Gradient Algorithms for Large-margin Structured Classification. - Peter L. Bartlett; Michael Collins 001; Benjamin Taskar; David A. McAllester (NIPS, 2004)

Conditional Random Fields for Object Recognition. - Ariadna Quattoni; Michael Collins 001; Trevor Darrell (NIPS, 2004)

Clause Restructuring for Statistical Machine Translation. - Michael Collins 001; Philipp Koehn; Ivona Kucerova (ACL, 2005)

Discriminative Syntactic Language Modeling for Speech Recognition. - Michael Collins 001; Brian Roark; Murat Saraclar (ACL, 2005)

Morphology and Reranking for the Statistical Parsing of Spanish. - Brooke Cowan; Michael Collins 001 (HLT/EMNLP, 2005)

Hidden-Variable Models for Discriminative Reranking. - Terry Koo; Michael Collins 001 (HLT/EMNLP, 2005)

Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars. - Luke S. Zettlemoyer; Michael Collins 001 (UAI, 2005)

Discriminative Reranking for Natural Language Parsing. - Michael Collins 001; Terry Koo (Comput. Linguistics, 2005)

A Discriminative Model for Tree-to-Tree Translation. - Brooke Cowan; Ivona Kucerova; Michael Collins 001 (EMNLP, 2006)

Learning Visual Representations using Images with Captions. - Ariadna Quattoni; Michael Collins 001; Trevor Darrell (CVPR, 2007)

Structured Prediction Models via the Matrix-Tree Theorem. - Terry Koo; Amir Globerson; Xavier Carreras; Michael Collins 001 (EMNLP-CoNLL, 2007)

Chinese Syntactic Reordering for Statistical Machine Translation. - Chao Wang 018; Michael Collins 001; Philipp Koehn (EMNLP-CoNLL, 2007)

Online Learning of Relaxed CCG Grammars for Parsing to Logical Form. - Luke Zettlemoyer; Michael Collins 001 (EMNLP-CoNLL, 2007)

Trigger-Based Language Modeling using a Loss-Sensitive Perceptron Algorithm. - Natasha Singh-Miller; Michael Collins 001 (ICASSP (4), 2007)

Exponentiated gradient algorithms for log-linear structured prediction. - Amir Globerson; Terry Koo; Xavier Carreras; Michael Collins 001 (ICML, 2007)

Dimensionality reduction for speech recognition using neighborhood components analysis. - Natasha Singh-Miller; Michael Collins 001; Timothy J. Hazen (INTERSPEECH, 2007)

Discriminative n-gram language modeling. - Brian Roark; Murat Saraclar; Michael Collins 001 (Comput. Speech Lang., 2007)

Hidden Conditional Random Fields. - Ariadna Quattoni; Sy Bor Wang; Louis-Philippe Morency; Michael Collins 001; Trevor Darrell (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Simple Semi-supervised Dependency Parsing. - Terry Koo; Xavier Carreras; Michael Collins 001 (ACL, 2008)

TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing. - Xavier Carreras; Michael Collins 001; Terry Koo (CoNLL, 2008)

Transfer learning for image classification with sparse prototype representations. - Ariadna Quattoni; Michael Collins 001; Trevor Darrell (CVPR, 2008)

Syntactic Reordering in Preprocessing for Japanese → English Translation: MIT System Description for NTCIR-7 Patent Translation Task. - Jason Katz-Brown; Michael Collins 001 (NTCIR, 2008)

Case-factor diagrams for structured probabilistic modeling. - David A. McAllester; Michael Collins 001; Fernando Pereira 003 (J. Comput. Syst. Sci., 2008)

Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks. - Michael Collins 001; Amir Globerson; Terry Koo; Xavier Carreras; Peter L. Bartlett (J. Mach. Learn. Res., 2008)

Learning Context-Dependent Mappings from Sentences to Logical Form. - Luke Zettlemoyer; Michael Collins 001 (ACL/IJCNLP, 2009)

Non-Projective Parsing for Statistical Machine Translation. - Xavier Carreras; Michael Collins 001 (EMNLP, 2009)

An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing. - Jun Suzuki 001; Hideki Isozaki; Xavier Carreras; Michael Collins 001 (EMNLP, 2009)

An efficient projection for l1,infinity regularization. - Ariadna Quattoni; Xavier Carreras; Michael Collins 001; Trevor Darrell (ICML, 2009)

Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition. - Natasha Singh-Miller; Michael Collins 001 (NIPS, 2009)

Efficient Third-Order Dependency Parsers. - Terry Koo; Michael Collins 001 (ACL, 2010)

Maximum Margin Ranking Algorithms for Information Retrieval. - Shivani Agarwal 001; Michael Collins 001 (ECIR, 2010)

Dual Decomposition for Parsing with Non-Projective Head Automata. - Terry Koo; Alexander M. Rush; Michael Collins 001; Tommi S. Jaakkola; David A. Sontag (EMNLP, 2010)

On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing. - Alexander M. Rush; David A. Sontag; Michael Collins 001; Tommi S. Jaakkola (EMNLP, 2010)

Dialect recognition using a phone-GMM-supervector-based SVM kernel. - Fadi Biadsy; Julia Hirschberg; Michael Collins 001 (INTERSPEECH, 2010)

Dual Decomposition for Natural Language Processing. - Michael Collins 001; Alexander M. Rush (ACL (Tutorial Abstracts), 2011)

Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation. - Alexander M. Rush; Michael Collins 001 (ACL, 2011)

Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation. - Yin-Wen Chang; Michael Collins 001 (EMNLP, 2011)

Lagrangian Relaxation for Inference in Natural Language Processing. - Michael Collins 001 (IWPT, 2011)

Spectral Learning of Latent-Variable PCFGs. - Shay B. Cohen; Karl Stratos; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (ACL (1), 2012)

Spectral Dependency Parsing with Latent Variables. - Paramveer S. Dhillon; Jordan Rodu; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (EMNLP-CoNLL, 2012)

Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints. - Alexander M. Rush; Roi Reichart; Michael Collins 001; Amir Globerson (EMNLP-CoNLL, 2012)

Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs. - Shay B. Cohen; Michael Collins 001 (NIPS, 2012)

A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing. - Alexander M. Rush; Michael Collins 001 (J. Artif. Intell. Res., 2012)

Spectral Learning of Refinement HMMs. - Karl Stratos; Alexander M. Rush; Shay B. Cohen; Michael Collins 001 (CoNLL, 2013)

Optimal Beam Search for Machine Translation. - Alexander M. Rush; Yin-Wen Chang; Michael Collins 001 (EMNLP, 2013)

A Convex Alternative to IBM Model 2. - Andrei Simion; Michael Collins 001; Cliff Stein 001 (EMNLP, 2013)

Spectral Learning Algorithms for Natural Language Processing. - Shay B. Cohen; Michael Collins 001; Dean P. Foster; Karl Stratos; Lyle H. Ungar (HLT-NAACL, 2013)

Approximate PCFG Parsing Using Tensor Decomposition. - Shay B. Cohen; Giorgio Satta; Michael Collins 001 (HLT-NAACL, 2013)

Experiments with Spectral Learning of Latent-Variable PCFGs. - Shay B. Cohen; Karl Stratos; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (HLT-NAACL, 2013)

A Constrained Viterbi Relaxation for Bidirectional Word Alignment. - Yin-Wen Chang; Alexander M. Rush; John DeNero; Michael Collins 001 (ACL (1), 2014)

A Provably Correct Learning Algorithm for Latent-Variable PCFGs. - Shay B. Cohen; Michael Collins 001 (ACL (1), 2014)

Modeling Weather Impact on a Secondary Electrical Grid. - Dingquan Wang; Rebecca J. Passonneau; Michael Collins 001; Cynthia Rudin (ANT/SEIT, 2014)

Learning Dictionaries for Named Entity Recognition using Minimal Supervision. - Arvind Neelakantan; Michael Collins 001 (EACL, 2014)

Some Experiments with a Convex IBM Model 2. - Andrei Simion; Michael Collins 001; Cliff Stein 001 (EACL, 2014)

A Spectral Algorithm for Learning Class-Based n-gram Models of Natural Language. - Karl Stratos; Do-kyum Kim; Michael Collins 001; Daniel J. Hsu (UAI, 2014)

How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. - Zhiyun Lu; Avner May; Kuan Liu; Alireza Bagheri Garakani; Dong Guo; Aurélien Bellet; Linxi Fan; Michael Collins 001; Brian Kingsbury; Michael Picheny; Fei Sha (CoRR, 2014)

Spectral learning of latent-variable PCFGs: algorithms and sample complexity. - Shay B. Cohen; Karl Stratos; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (J. Mach. Learn. Res., 2014)

A Family of Latent Variable Convex Relaxations for IBM Model 2. - Andrei Arsene Simion; Michael Collins 001; Cliff Stein 001 (AAAI, 2015)

Model-based Word Embeddings from Decompositions of Count Matrices. - Karl Stratos; Michael Collins 001; Daniel J. Hsu (ACL (1), 2015)

Structured Training for Neural Network Transition-Based Parsing. - David Weiss 001; Chris Alberti; Michael Collins 001; Slav Petrov (ACL (1), 2015)

Density-Driven Cross-Lingual Transfer of Dependency Parsers. - Mohammad Sadegh Rasooli; Michael Collins 001 (EMNLP, 2015)

On A Strictly Convex IBM Model 1. - Andrei Simion; Michael Collins 001; Cliff Stein 001 (EMNLP, 2015)

Simple Semi-Supervised POS Tagging. - Karl Stratos; Michael Collins 001 (VS@HLT-NAACL, 2015)

Globally Normalized Transition-Based Neural Networks. - Daniel Andor; Chris Alberti; David Weiss 001; Aliaksei Severyn; Alessandro Presta; Kuzman Ganchev; Slav Petrov; Michael Collins 001 (ACL (1), 2016)

Towards a Convex HMM Surrogate for Word Alignment. - Andrei Simion; Michael Collins 001; Cliff Stein 001 (EMNLP, 2016)

A comparison between deep neural nets and kernel acoustic models for speech recognition. - Zhiyun Lu; Dong Guo; Alireza Bagheri Garakani; Kuan Liu; Avner May; Aurélien Bellet; Linxi Fan; Michael Collins 001; Brian Kingsbury; Michael Picheny; Fei Sha (ICASSP, 2016)

Compact kernel models for acoustic modeling via random feature selection. - Avner May; Michael Collins 001; Daniel J. Hsu; Brian Kingsbury (ICASSP, 2016)

Predicting the impact of scientific concepts using full-text features. - Kathy McKeown; Hal Daumé III; Snigdha Chaturvedi; John Paparrizos; Kapil Thadani; Pablo Barrio 002; Or Biran; Suvarna Bothe; Michael Collins 001; Kenneth R. Fleischmann; Luis Gravano; Rahul Jha; et al. (J. Assoc. Inf. Sci. Technol., 2016)

Transforming Dependency Structures to Logical Forms for Semantic Parsing. - Siva Reddy; Oscar Täckström; Michael Collins 001; Tom Kwiatkowski; Dipanjan Das 001; Mark Steedman; Mirella Lapata (Trans. Assoc. Comput. Linguistics, 2016)

Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models. - Karl Stratos; Michael Collins 001; Daniel J. Hsu (Trans. Assoc. Comput. Linguistics, 2016)

Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms. - Yin-Wen Chang; Michael Collins 001 (EMNLP, 2017)

SyntaxNet Models for the CoNLL 2017 Shared Task. - Chris Alberti; Daniel Andor; Ivan Bogatyy; Michael Collins 001; Dan Gillick; Lingpeng Kong; Terry Koo; Ji Ma 004; Mark Omernick; Slav Petrov; Chayut Thanapirom; Zora Tung; et al. (CoRR, 2017)

A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit. - Yin-Wen Chang; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2017)

Cross-Lingual Syntactic Transfer with Limited Resources. - Mohammad Sadegh Rasooli; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2017)

Improving Span-based Question Answering Systems with Coarsely Labeled Data. - Hao Cheng 002; Ming-Wei Chang; Kenton Lee; Ankur P. Parikh; Michael Collins 001; Kristina Toutanova (CoRR, 2018)

Synthetic QA Corpora Generation with Roundtrip Consistency. - Chris Alberti; Daniel Andor; Emily Pitler; Jacob Devlin; Michael Collins 001 (ACL (1), 2019)

Fusion of Detected Objects in Text for Visual Question Answering. - Chris Alberti; Jeffrey Ling; Michael Collins 001; David Reitter (EMNLP/IJCNLP (1), 2019)

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. - Christopher Clark; Kenton Lee; Ming-Wei Chang; Tom Kwiatkowski; Michael Collins 001; Kristina Toutanova (NAACL-HLT (1), 2019)

Low-Resource Syntactic Transfer with Unsupervised Source Reordering. - Mohammad Sadegh Rasooli; Michael Collins 001 (NAACL-HLT (1), 2019)

A BERT Baseline for the Natural Questions. - Chris Alberti; Kenton Lee; Michael Collins 001 (CoRR, 2019)

Kernel Approximation Methods for Speech Recognition. - Avner May; Alireza Bagheri Garakani; Zhiyun Lu; Dong Guo; Kuan Liu; Aurélien Bellet; Linxi Fan; Michael Collins 001; Daniel Hsu 001; Brian Kingsbury; Michael Picheny; Fei Sha (J. Mach. Learn. Res., 2019)

Natural Questions: a Benchmark for Question Answering Research. - Tom Kwiatkowski; Jennimaria Palomaki; Olivia Redfield; Michael Collins 001; Ankur P. Parikh; Chris Alberti; Danielle Epstein; Illia Polosukhin; Jacob Devlin; Kenton Lee; Kristina Toutanova; Llion Jones; et al. (Trans. Assoc. Comput. Linguistics, 2019)

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)

Evaluating Explanations: How much do explanations from the teacher aid students? - Danish Pruthi; Bhuwan Dhingra; Livio Baldini Soares; Michael Collins 001; Zachary C. Lipton; Graham Neubig; William W. Cohen (CoRR, 2020)

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. - Jonathan H. Clark; Jennimaria Palomaki; Vitaly Nikolaev; Eunsol Choi; Dan Garrette; Michael Collins 001; Tom Kwiatkowski (Trans. Assoc. Comput. Linguistics, 2020)

Investigating the Effect of Background Knowledge on Natural Questions. - Vidhisha Balachandran; Bhuwan Dhingra; Haitian Sun; Michael Collins 001; William W. Cohen (DeeLIO@NAACL-HLT, 2021)

Measuring Attribution in Natural Language Generation Models. - Hannah Rashkin; Vitaly Nikolaev; Matthew Lamm; Michael Collins 001; Dipanjan Das 001; Slav Petrov; Gaurav Singh Tomar; Iulia Turc; David Reitter (CoRR, 2021)

Decontextualization: Making Sentences Stand-Alone. - Eunsol Choi; Jennimaria Palomaki; Matthew Lamm; Tom Kwiatkowski; Dipanjan Das 001; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2021)

Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss. - Thomas Effland; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2021)

QED: A Framework and Dataset for Explanations in Question Answering. - Matthew Lamm; Jennimaria Palomaki; Chris Alberti; Daniel Andor; Eunsol Choi; Livio Baldini Soares; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2021)

Sparse, Dense, and Attentional Representations for Text Retrieval. - Yi Luan; Jacob Eisenstein; Kristina Toutanova; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2021)

A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. - Shashi Narayan; Gonçalo Simões; Yao Zhao; Joshua Maynez; Dipanjan Das 001; Michael Collins 001; Mirella Lapata (ACL (1), 2022)

Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model. - Jacob Eisenstein; Daniel Andor; Bernd Bohnet; Michael Collins 001; David Mimno (CoRR, 2022)

Query Refinement Prompts for Closed-Book Long-Form Question Answering. - Reinald Kim Amplayo; Kellie Webster; Michael Collins 001; Dipanjan Das 001; Shashi Narayan (CoRR, 2022)

Towards Computationally Verifiable Semantic Grounding for Language Models. - Chris Alberti; Kuzman Ganchev; Michael Collins 001; Sebastian Gehrmann; Ciprian Chelba (CoRR, 2022)

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. - Bernd Bohnet; Vinh Q. Tran 002; Pat Verga; Roee Aharoni; Daniel Andor; Livio Baldini Soares; Jacob Eisenstein; Kuzman Ganchev; Jonathan Herzig; Kai Hui 001; Tom Kwiatkowski; Ji Ma 004; et al. (CoRR, 2022)

Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? - Danish Pruthi; Rachit Bansal; Bhuwan Dhingra; Livio Baldini Soares; Michael Collins 001; Zachary C. Lipton; Graham Neubig; William W. Cohen (Trans. Assoc. Comput. Linguistics, 2022)

Query Refinement Prompts for Closed-Book Long-Form QA. - Reinald Kim Amplayo; Kellie Webster; Michael Collins 001; Dipanjan Das 001; Shashi Narayan (ACL (1), 2023)

Measuring Attribution in Natural Language Generation Models. - Hannah Rashkin; Vitaly Nikolaev; Matthew Lamm; Lora Aroyo; Michael Collins 001; Dipanjan Das 001; Slav Petrov; Gaurav Singh Tomar; Iulia Turc; David Reitter (Comput. Linguistics, 2023)

Learning to Reject with a Fixed Predictor: Application to Decontextualization. - Christopher Mohri; Daniel Andor; Eunsol Choi; Michael Collins 001 (CoRR, 2023)

Coreference Resolution through a seq2seq Transition-Based System. - Bernd Bohnet; Chris Alberti; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2023)

Improving Low-Resource Cross-lingual Parsing with Expected Statistic Regularization. - Thomas Effland; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2023)

A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. - Alon Jacovi; Yonatan Bitton; Bernd Bohnet; Jonathan Herzig; Or Honovich; Michael Tseng; Michael Collins 001; Roee Aharoni; Mor Geva (ACL (1), 2024)

Learning to Reject with a Fixed Predictor: Application to Decontextualization. - Christopher Mohri; Daniel Andor; Eunsol Choi; Michael Collins 001; Anqi Mao; Yutao Zhong 002 (ICLR, 2024)

Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation. - Bernd Bohnet; Kevin Swersky; Rosanne Liu; Pranjal Awasthi; Azade Nova; Javier Snaider; Hanie Sedghi; Aaron T. Parisi; Michael Collins 001; Angeliki Lazaridou; Orhan Firat; Noah Fiedel (CoRR, 2024)

InfAlign: Inference-aware language model alignment. - Ananth Balashankar; Ziteng Sun; Jonathan Berant; Jacob Eisenstein; Michael Collins 001; Adrian Hutter; Jong Lee; Chirag Nagpal; Flavien Prost; Aradhana Sinha; Ananda Theertha Suresh; Ahmad Beirami (CoRR, 2024)