Jane Dwivedi-Yu

Orcid: 0000-0003-2410-9396

Affiliations:
  • Meta AI Research
  • University of California, Berkeley, CA, USA (PhD 2019)


According to our database1, Jane Dwivedi-Yu authored at least 33 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Teaching Large Language Models to Reason with Reinforcement Learning.
CoRR, 2024

MultiContrievers: Analysis of Dense Retrieval Representations.
CoRR, 2024

TOOLVERIFIER: Generalization to New Tools via Self-Verification.
CoRR, 2024

GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.
CoRR, 2024

Efficient Tool Use with Chain-of-Abstraction Reasoning.
CoRR, 2024

2023
Improving Wikipedia verifiability with AI.
Nat. Mac. Intell., October, 2023

A fast machine-learning-guided primer design pipeline for selective whole genome amplification.
PLoS Comput. Biol., 2023

Atlas: Few-shot Learning with Retrieval Augmented Language Models.
J. Mach. Learn. Res., 2023

Evaluation of Faithfulness Using the Longest Supported Subsequence.
CoRR, 2023

Shepherd: A Critic for Language Model Generation.
CoRR, 2023

Learnings from Data Integration for Augmented Language Models.
CoRR, 2023

Augmented Language Models: a Survey.
CoRR, 2023

Toolformer: Language Models Can Teach Themselves to Use Tools.
CoRR, 2023

Toolformer: Language Models Can Teach Themselves to Use Tools.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PEER: A Collaborative Language Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Active Learning Principles for In-Context Learning with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Active Retrieval Augmented Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ROBBIE: Robust Bias Evaluation of Large Generative Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

NormBank: A Knowledge Bank of Situational Social Norms.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Using Comments for Predicting the Affective Response to Social Media Posts.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

2022
EditEval: An Instruction-Based Benchmark for Text Improvements.
CoRR, 2022

Few-shot Learning with Retrieval Augmented Language Models.
CoRR, 2022

Improving Wikipedia Verifiability with AI.
CoRR, 2022

The CARE Dataset for Affective Response Detection.
CoRR, 2022

Understanding Conflicts in Online Conversations.
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.
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.
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.
Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Detecting Inspiring Content on Social Media.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2019
Computational Tools for Immune Repertoire Characterization and Primer Set Design.
PhD thesis, 2019

2016
Estimating Copy Number and Allelic Variation at the Immunoglobulin Heavy Chain Locus Using Short Reads.
PLoS Comput. Biol., 2016


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