Jane Dwivedi-Yu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 35

Top Topics

Information Retrieval

Learning Disabled Students

Top Venues

Publications

Caleb Ziems, William Held, Jane Dwivedi-Yu, Diyi Yang
Measuring and Addressing Indexical Bias in Information Retrieval. ACL (Findings) (2024)
Jane Dwivedi-Yu, Raaz Dwivedi, Timo Schick
FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations. CoRR (2024)
Kristen M. Altenburger, Robert E. Kraut, Shirley Anugrah Hayati, Jane Dwivedi-Yu, Kaiyan Peng, Yi-Chia Wang
Consequences of Conflicts in Online Conversations. ICWSM (2024)
Alex Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Railneau
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. CoRR (2024)
Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu
Teaching Large Language Models to Reason with Reinforcement Learning. CoRR (2024)
Seraphina Goldfarb-Tarrant, Pedro Rodriguez, Jane Dwivedi-Yu, Patrick S. H. Lewis
MultiContrievers: Analysis of Dense Retrieval Representations. CoRR (2024)
Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
TOOLVERIFIER: Generalization to New Tools via Self-Verification. CoRR (2024)
Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang
Efficient Tool Use with Chain-of-Abstraction Reasoning. CoRR (2024)
Caleb Ziems, William Held, Jane Dwivedi-Yu, Diyi Yang
Measuring and Addressing Indexical Bias in Information Retrieval. CoRR (2024)
Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy
TimelineQA: A Benchmark for Question Answering over Timelines. CoRR (2023)
David Esiobu, Xiaoqing Ellen Tan, Saghar Hosseini, Megan Ung, Yuchen Zhang, Jude Fernandes, Jane Dwivedi-Yu, Eleonora Presani, Adina Williams, Eric Michael Smith
ROBBIE: Robust Bias Evaluation of Large Generative Language Models. EMNLP (2023)
Alon Y. Halevy, Jane Dwivedi-Yu
Learnings from Data Integration for Augmented Language Models. CoRR (2023)
Anirudh Mittal, Timo Schick, Mikel Artetxe, Jane Dwivedi-Yu
Evaluation of Faithfulness Using the Longest Supported Subsequence. CoRR (2023)
Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy
TimelineQA: A Benchmark for Question Answering over Timelines. ACL (Findings) (2023)
Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, Sean O'Brien, Ramakanth Pasunuru, Jane Dwivedi-Yu, Olga Golovneva, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz
Shepherd: A Critic for Language Model Generation. CoRR (2023)
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, Thomas Scialom
Augmented Language Models: a Survey. CoRR (2023)
Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig
Active Retrieval Augmented Generation. EMNLP (2023)
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, Thomas Scialom
Augmented Language Models: a Survey. Trans. Mach. Learn. Res. 2023 (2023)
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
Toolformer: Language Models Can Teach Themselves to Use Tools. CoRR (2023)
Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
Atlas: Few-shot Learning with Retrieval Augmented Language Models. J. Mach. Learn. Res. 24 (2023)
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
Improving Wikipedia verifiability with AI. Nat. Mac. Intell. 5 (10) (2023)
David Esiobu, Xiaoqing Ellen Tan, Saghar Hosseini, Megan Ung, Yuchen Zhang, Jude Fernandes, Jane Dwivedi-Yu, Eleonora Presani, Adina Williams, Eric Michael Smith
ROBBIE: Robust Bias Evaluation of Large Generative Language Models. CoRR (2023)
Katerina Margatina, Timo Schick, Nikolaos Aletras, Jane Dwivedi-Yu
Active Learning Principles for In-Context Learning with Large Language Models. EMNLP (Findings) (2023)
Katerina Margatina, Timo Schick, Nikolaos Aletras, Jane Dwivedi-Yu
Active Learning Principles for In-Context Learning with Large Language Models. CoRR (2023)
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
Toolformer: Language Models Can Teach Themselves to Use Tools. NeurIPS (2023)
Yi-Chia Wang, Jane Dwivedi-Yu, Robert E. Kraut, Alon Y. Halevy
Using Comments for Predicting the Affective Response to Social Media Posts. ACII (2023)
Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, Alon Y. Halevy, Diyi Yang
NormBank: A Knowledge Bank of Situational Social Norms. CoRR (2023)
Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig
Active Retrieval Augmented Generation. CoRR (2023)
Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, Alon Y. Halevy, Diyi Yang
NormBank: A Knowledge Bank of Situational Social Norms. ACL (1) (2023)
Jane Dwivedi-Yu, Yi-Chia Wang, Lijing Qin, Cristian Canton-Ferrer, Alon Y. Halevy
Affective Signals in a Social Media Recommender System. CoRR (2022)
Jane Dwivedi-Yu, Yi-Chia Wang, Lijing Qin, Cristian Canton-Ferrer, Alon Y. Halevy
Affective Signals in a Social Media Recommender System. KDD (2022)
Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel
Improving Wikipedia Verifiability with AI. CoRR (2022)
Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave
Few-shot Learning with Retrieval Augmented Language Models. CoRR (2022)
Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni
EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR (2022)
Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
PEER: A Collaborative Language Model. CoRR (2022)