Jane Dwivedi-Yu

Raaz Dwivedi

Timo Schick

CoRR, 2024

Teaching Large Language Models to Reason with Reinforcement Learning.

[BibT_eX]

[DOI]

Alex Havrilla

Yuqing Du

Sharath Chandra Raparthy

Seraphina Goldfarb-Tarrant

CoRR, 2024

MultiContrievers: Analysis of Dense Retrieval Representations.

[BibT_eX]

[DOI]

Pedro Rodriguez

Patrick S. H. Lewis

CoRR, 2024

GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.

[BibT_eX]

[DOI]

Alex Havrilla

Sharath Chandra Raparthy

CoRR, 2024

Efficient Tool Use with Chain-of-Abstraction Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

Consequences of Conflicts in Online Conversations.

[BibT_eX]

[DOI]

Kristen M. Altenburger

Robert E. Kraut

Shirley Anugrah Hayati

Kaiyan Peng

Yi-Chia Wang

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.

[BibT_eX]

[DOI]

Alexander Havrilla

Sharath Chandra Raparthy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TOOLVERIFIER: Generalization to New Tools via Self-Verification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Measuring and Addressing Indexical Bias in Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Improving Wikipedia verifiability with AI.

[BibT_eX]

[DOI]

Pierre-Emmanuel Mazaré

Armand Joulin

Edouard Grave

Sebastian Riedel

Nat. Mac. Intell., October, 2023

Augmented Language Models: a Survey.

[BibT_eX]

[DOI]

Grégoire Mialon

Roberto Dessì

Maria Lomeli

Trans. Mach. Learn. Res., 2023

A fast machine-learning-guided primer design pipeline for selective whole genome amplification.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2023

Atlas: Few-shot Learning with Retrieval Augmented Language Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Evaluation of Faithfulness Using the Longest Supported Subsequence.

[BibT_eX]

[DOI]

CoRR, 2023

Shepherd: A Critic for Language Model Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Learnings from Data Integration for Augmented Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Toolformer: Language Models Can Teach Themselves to Use Tools.

[BibT_eX]

[DOI]

CoRR, 2023

Toolformer: Language Models Can Teach Themselves to Use Tools.

[BibT_eX]

[DOI]

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

PEER: A Collaborative Language Model.

[BibT_eX]

[DOI]

Edouard Grave

Sebastian Riedel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Active Learning Principles for In-Context Learning with Large Language Models.

[BibT_eX]

[DOI]

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

Active Retrieval Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ROBBIE: Robust Bias Evaluation of Large Generative Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

NormBank: A Knowledge Bank of Situational Social Norms.

[BibT_eX]

[DOI]

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

TimelineQA: A Benchmark for Question Answering over Timelines.

[BibT_eX]

[DOI]

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

Using Comments for Predicting the Affective Response to Social Media Posts.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

2022

EditEval: An Instruction-Based Benchmark for Text Improvements.

[BibT_eX]

[DOI]

CoRR, 2022

Few-shot Learning with Retrieval Augmented Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Improving Wikipedia Verifiability with AI.

[BibT_eX]

[DOI]

Pierre-Emmanuel Mazaré

Armand Joulin

Edouard Grave

Sebastian Riedel

CoRR, 2022

The CARE Dataset for Affective Response Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Understanding Conflicts in Online Conversations.

[BibT_eX]

[DOI]

Sharon Levy

Robert E. Kraut

Kristen M. Altenburger

Yi-Chia Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Quantifying Adaptability in Pre-trained Language Models with 500 Tasks.

[BibT_eX]

[DOI]

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

Affective Signals in a Social Media Recommender System.

[BibT_eX]

[DOI]

Yi-Chia Wang

Lijing Qin

Cristian Canton-Ferrer

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

That's so cute!: The CARE Dataset for Affective Response Detection.

[BibT_eX]

[DOI]

Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems.

[BibT_eX]

[DOI]

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

2021

Detecting Inspiring Content on Social Media.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2019

Computational Tools for Immune Repertoire Characterization and Primer Set Design.

[BibT_eX]

[DOI]

PhD thesis, 2019

2016

Estimating Copy Number and Allelic Variation at the Immunoglobulin Heavy Chain Locus Using Short Reads.

[BibT_eX]

[DOI]

Shishi Luo