Estimating Copy Number and Allelic Variation at the Immunoglobulin Heavy Chain Locus Using Short Reads. - Shishi Luo; Jane A. Yu; Yun S. Song (PLoS Comput. Biol., 2016)

Computational Tools for Immune Repertoire Characterization and Primer Set Design. - Jane A. Yu (2019)

Detecting Inspiring Content on Social Media. - Oana Ignat; Y-Lan Boureau; Jane A. Yu; Alon Y. Halevy (ACII, 2021)

The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems. - Caleb Ziems; Jane A. Yu; Yi-Chia Wang; Alon Y. Halevy; Diyi Yang (ACL (1), 2022)

That's so cute!: The CARE Dataset for Affective Response Detection. - Jane A. Yu; Alon Y. Halevy (CoNLL, 2022)

Affective Signals in a Social Media Recommender System. - Jane Dwivedi-Yu; Yi-Chia Wang; Lijing Qin; Cristian Canton-Ferrer; Alon Y. Halevy (KDD, 2022)

Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. - Belinda Z. Li; Jane A. Yu; Madian Khabsa; Luke Zettlemoyer; Alon Y. Halevy; Jacob Andreas (NAACL-HLT, 2022)

Understanding Conflicts in Online Conversations. - Sharon Levy; Robert E. Kraut; Jane A. Yu; Kristen M. Altenburger; Yi-Chia Wang (WWW, 2022)

The CARE Dataset for Affective Response Detection. - Jane A. Yu; Alon Y. Halevy (CoRR, 2022)

Improving Wikipedia Verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Pierre-Emmanuel Mazaré; Armand Joulin; Edouard Grave; et al. (CoRR, 2022)

Few-shot Learning with Retrieval Augmented Language Models. - Gautier Izacard; Patrick Lewis 001; Maria Lomeli; Lucas Hosseini; Fabio Petroni; Timo Schick; Jane Dwivedi-Yu; Armand Joulin; Sebastian Riedel 001; Edouard Grave (CoRR, 2022)

EditEval: An Instruction-Based Benchmark for Text Improvements. - Jane Dwivedi-Yu; Timo Schick; Zhengbao Jiang; Maria Lomeli; Patrick Lewis 001; Gautier Izacard; Edouard Grave; Sebastian Riedel 001; Fabio Petroni (CoRR, 2022)

Using Comments for Predicting the Affective Response to Social Media Posts. - Yi-Chia Wang; Jane Dwivedi-Yu; Robert E. Kraut; Alon Y. Halevy (ACII, 2023)

TimelineQA: A Benchmark for Question Answering over Timelines. - Wang-Chiew Tan; Jane Dwivedi-Yu; Yuliang Li 001; Lambert Mathias; Marzieh Saeidi; Jing Nathan Yan; Alon Y. Halevy (ACL (Findings), 2023)

NormBank: A Knowledge Bank of Situational Social Norms. - Caleb Ziems; Jane Dwivedi-Yu; Yi-Chia Wang; Alon Y. Halevy; Diyi Yang (ACL (1), 2023)

ROBBIE: Robust Bias Evaluation of Large Generative Language Models. - David Esiobu; Xiaoqing Ellen Tan; Saghar Hosseini; Megan Ung; Yuchen Zhang; Jude Fernandes; Jane Dwivedi-Yu; Eleonora Presani; Adina Williams; Eric Michael Smith (EMNLP, 2023)

Active Retrieval Augmented Generation. - Zhengbao Jiang; Frank F. Xu; Luyu Gao; Zhiqing Sun; Qian Liu; Jane Dwivedi-Yu; Yiming Yang; Jamie Callan; Graham Neubig (EMNLP, 2023)

Active Learning Principles for In-Context Learning with Large Language Models. - Katerina Margatina; Timo Schick; Nikolaos Aletras; Jane Dwivedi-Yu (EMNLP (Findings), 2023)

PEER: A Collaborative Language Model. - Timo Schick; Jane A. Yu; Zhengbao Jiang; Fabio Petroni; Patrick Lewis 001; Gautier Izacard; Qingfei You; Christoforos Nalmpantis; Edouard Grave; Sebastian Riedel 001 (ICLR, 2023)

Toolformer: Language Models Can Teach Themselves to Use Tools. - Timo Schick; Jane Dwivedi-Yu; Roberto Dessì; Roberta Raileanu; Maria Lomeli; Eric Hambro; Luke Zettlemoyer; Nicola Cancedda; Thomas Scialom (NeurIPS, 2023)

Toolformer: Language Models Can Teach Themselves to Use Tools. - Timo Schick; Jane Dwivedi-Yu; Roberto Dessì; Roberta Raileanu; Maria Lomeli; Luke Zettlemoyer; Nicola Cancedda; Thomas Scialom (CoRR, 2023)

Learnings from Data Integration for Augmented Language Models. - Alon Y. Halevy; Jane Dwivedi-Yu (CoRR, 2023)

Shepherd: A Critic for Language Model Generation. - Tianlu Wang; Ping Yu; Xiaoqing Ellen Tan; Sean O'Brien; Ramakanth Pasunuru; Jane Dwivedi-Yu; Olga Golovneva; Luke Zettlemoyer; Maryam Fazel-Zarandi; Asli Celikyilmaz (CoRR, 2023)

Evaluation of Faithfulness Using the Longest Supported Subsequence. - Anirudh Mittal; Timo Schick; Mikel Artetxe; Jane Dwivedi-Yu (CoRR, 2023)

Atlas: Few-shot Learning with Retrieval Augmented Language Models. - Gautier Izacard; Patrick Lewis 001; Maria Lomeli; Lucas Hosseini; Fabio Petroni; Timo Schick; Jane Dwivedi-Yu; Armand Joulin; Sebastian Riedel 001; Edouard Grave (J. Mach. Learn. Res., 2023)

A fast machine-learning-guided primer design pipeline for selective whole genome amplification. - Jane A. Dwivedi-Yu; Zachary J. Oppler; Matthew W. Mitchell; Yun S. Song; Dustin Brisson (PLoS Comput. Biol., 2023)

Augmented Language Models: a Survey. - Grégoire Mialon; Roberto Dessì; Maria Lomeli; Christoforos Nalmpantis; Ramakanth Pasunuru; Roberta Raileanu; Baptiste Rozière; Timo Schick; Jane Dwivedi-Yu; Asli Celikyilmaz; Edouard Grave; Yann LeCun; et al. (Trans. Mach. Learn. Res., 2023)

Improving Wikipedia verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Michele Bevilacqua; Pierre-Emmanuel Mazaré; Armand Joulin; et al. (Nat. Mac. Intell., 2023)

Measuring and Addressing Indexical Bias in Information Retrieval. - Caleb Ziems; William Held; Jane Dwivedi-Yu; Diyi Yang (ACL (Findings), 2024)

TOOLVERIFIER: Generalization to New Tools via Self-Verification. - Dheeraj Mekala; Jason Weston; Jack Lanchantin; Roberta Raileanu; Maria Lomeli; Jingbo Shang; Jane Dwivedi-Yu (EMNLP (Findings), 2024)

GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. - Alexander Havrilla; Sharath Chandra Raparthy; Christoforos Nalmpantis; Jane Dwivedi-Yu; Maksym Zhuravinskyi; Eric Hambro; Roberta Raileanu (ICML, 2024)

Consequences of Conflicts in Online Conversations. - Kristen M. Altenburger; Robert E. Kraut; Shirley Anugrah Hayati; Jane Dwivedi-Yu; Kaiyan Peng; Yi-Chia Wang (ICWSM, 2024)

GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. - Alex Havrilla; Sharath Chandra Raparthy; Christoforos Nalmpantis; Jane Dwivedi-Yu; Maksym Zhuravinskyi; Eric Hambro; Roberta Railneau (CoRR, 2024)

MultiContrievers: Analysis of Dense Retrieval Representations. - Seraphina Goldfarb-Tarrant; Pedro Rodriguez 001; Jane Dwivedi-Yu; Patrick S. H. Lewis (CoRR, 2024)

Teaching Large Language Models to Reason with Reinforcement Learning. - Alex Havrilla; Yuqing Du; Sharath Chandra Raparthy; Christoforos Nalmpantis; Jane Dwivedi-Yu; Maksym Zhuravinskyi; Eric Hambro; Sainbayar Sukhbaatar; Roberta Raileanu (CoRR, 2024)

FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations. - Jane Dwivedi-Yu; Raaz Dwivedi; Timo Schick (CoRR, 2024)

Self-Taught Evaluators. - Tianlu Wang; Ilia Kulikov; Olga Golovneva; Ping Yu; Weizhe Yuan; Jane Dwivedi-Yu; Richard Yuanzhe Pang; Maryam Fazel-Zarandi; Jason Weston; Xian Li 003 (CoRR, 2024)

Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources. - Alisia Maria Lupidi; Carlos Gemmell; Nicola Cancedda; Jane Dwivedi-Yu; Jason Weston; Jakob N. Foerster; Roberta Raileanu; Maria Lomeli (CoRR, 2024)

Examining the Role of Relationship Alignment in Large Language Models. - Kristen M. Altenburger; Hongda Jiang; Robert E. Kraut; Yi-Chia Wang; Jane Dwivedi-Yu (CoRR, 2024)

Self-Consistency Preference Optimization. - Archiki Prasad; Weizhe Yuan; Richard Yuanzhe Pang; Jing Xu; Maryam Fazel-Zarandi; Mohit Bansal; Sainbayar Sukhbaatar; Jason Weston; Jane A. Yu (CoRR, 2024)

Efficient Tool Use with Chain-of-Abstraction Reasoning. - Silin Gao; Jane Dwivedi-Yu; Ping Yu; Xiaoqing Ellen Tan; Ramakanth Pasunuru; Olga Golovneva; Koustuv Sinha; Asli Celikyilmaz; Antoine Bosselut; Tianlu Wang (COLING, 2025)

Extrapolating to Unknown Opinions Using LLMs. - Kexun Zhang; Jane Dwivedi-Yu; Zhaojiang Lin; Yuning Mao; William Yang Wang; Lei Li 005; Yi-Chia Wang (COLING, 2025)

Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning. - Melanie Sclar; Jane Dwivedi-Yu; Maryam Fazel-Zarandi; Yulia Tsvetkov; Yonatan Bisk; Yejin Choi 001; Asli Celikyilmaz (ICLR, 2025)