He He

CoRR, 2023

Personas as a Way to Model Truthfulness in Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Does Writing with Language Models Reduce Content Diversity?

[BibT_eX]

[DOI]

CoRR, 2023

ARGUS: Visualization of AI-Assisted Task Guidance in AR.

[BibT_eX]

[DOI]

CoRR, 2023

Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations.

[BibT_eX]

[DOI]

CoRR, 2023

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples.

[BibT_eX]

[DOI]

CoRR, 2023

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extrapolative Controlled Sequence Generation via Iterative Refinement.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought.

[BibT_eX]

[DOI]

Abulhair Saparov

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On the Relation between Sensitivity and Accuracy in In-Context Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Efficient Shapley Values Estimation by Amortization for Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Reward Gaming in Conditional Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2022

QuALITY: Question Answering with Long Input Texts, Yes!

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Machine-in-the-Loop Rewriting for Creative Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Improving Faithfulness by Augmenting Negative Summaries from Fake Documents.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens.

[BibT_eX]

[DOI]

Nitish Joshi

Xiang Pan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing.

[BibT_eX]

[DOI]

Tuhin Chakrabarty

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

An Investigation of the (In)effectiveness of Counterfactually Augmented Data.

[BibT_eX]

[DOI]

Nitish Joshi

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Meta-learning via Language Model In-context Tuning.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Amortized Noisy Channel Neural Machine Translation.

[BibT_eX]

[DOI]

Richard Yuanzhe Pang

Kyunghyun Cho

CoRR, 2021

IRM - when it works and when it doesn't: A test case of natural language inference.

[BibT_eX]

[DOI]

Yana Dranker

Yonatan Belinkov

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Text Generation by Learning from Demonstrations.

[BibT_eX]

[DOI]

Richard Yuanzhe Pang

Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Extractive Summarization using Pointwise Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2020

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

Text Generation by Learning from Off-Policy Demonstrations.

[BibT_eX]

[DOI]

Richard Yuanzhe Pang

CoRR, 2020

FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization.

[BibT_eX]

[DOI]

Esin Durmus

Mona T. Diab

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

[BibT_eX]

[DOI]

CoRR, 2019

Quizbowl: The Case for Incremental Question Answering.

[BibT_eX]

[DOI]

CoRR, 2019

A Dynamic Strategy Coach for Effective Negotiation.

[BibT_eX]

[DOI]

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Pun Generation with Surprise.

[BibT_eX]

[DOI]

Nanyun Peng

Percy Liang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Dive into Deep Learning for Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual.

[BibT_eX]

[DOI]

Sheng Zha

Haohan Wang

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018

Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Decoupling Strategy and Generation in Negotiation Dialogues.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

QuAC: Question Answering in Context.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Sequential Decisions and Predictions in Natural Language Processing.

[BibT_eX]

[DOI]

PhD thesis, 2016

Active Information Acquisition.

[BibT_eX]

[DOI]

Paul Mineiro

Nikos Karampatziakis

CoRR, 2016

Opponent Modeling in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Kevin Kwok

CoRR, 2016

Object detection in 20 questions.

[BibT_eX]

[DOI]

Xi Stephen Chen

Larry S. Davis

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

A Credit Assignment Compiler for Joint Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2016, 2016

Opponent Modeling in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Learning to Search for Dependencies.

[BibT_eX]

[DOI]

CoRR, 2015

Hands-on Learning to Search for Structured Prediction.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Trust-aware optimal crowdsourcing with budget constraint.

[BibT_eX]

[DOI]

Xiangyang Liu

John S. Baras

Proceedings of the 2015 IEEE International Conference on Communications, 2015

Crowdsourcing with multi-dimensional trust.

[BibT_eX]

[DOI]

Xiangyang Liu

John S. Baras

Proceedings of the 18th International Conference on Information Fusion, 2015

Syntax-based Rewriting for Simultaneous Machine Translation.

[BibT_eX]

[DOI]

Alvin Grissom II

John Morgan

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Temporal supervised learning for inferring a dialog policy from example conversations.

[BibT_eX]

[DOI]

Lihong Li

Jason D. Williams

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Learning to Search in Branch and Bound Algorithms.

[BibT_eX]

[DOI]

Jason Eisner

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation.

[BibT_eX]

[DOI]

Alvin Grissom II

John Morgan

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Dynamic Feature Selection for Dependency Parsing.

[BibT_eX]

[DOI]

Jason Eisner

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

Imitation Learning by Coaching.

[BibT_eX]

[DOI]

Jason Eisner

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Besting the Quiz Master: Crowdsourcing Incremental Classification Games.

[BibT_eX]

[DOI]

Brianna Satinoff