Search Results - Dwivedi-Yu, Jane

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  1. 1
    A fast machine-learning-guided primer design pipeline for selective whole genome amplification

    A fast machine-learning-guided primer design pipeline for selective whole genome amplification by Dwivedi-Yu, Jane A, Oppler, Zachary J, Mitchell, Matthew W, Song, Yun S, Brisson, Dustin

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  2. 2
    Learnings from Data Integration for Augmented Language Models

    Learnings from Data Integration for Augmented Language Models by Halevy, Alon, Dwivedi-Yu, Jane

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  3. 3
    FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations

    FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations by Dwivedi-Yu, Jane, Dwivedi, Raaz, Schick, Timo

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  4. 4
    MultiContrievers: Analysis of Dense Retrieval Representations

    MultiContrievers: Analysis of Dense Retrieval Representations by Goldfarb-Tarrant, Seraphina, Rodriguez, Pedro, Dwivedi-Yu, Jane, Lewis, Patrick

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  5. 5
    "That's so cute!": The CARE Dataset for Affective Response Detection

    "That's so cute!": The CARE Dataset for Affective Response Detection by Dwivedi-Yu, Jane, Halevy, Alon Y

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  6. 6
    Affective Signals in a Social Media Recommender System

    Affective Signals in a Social Media Recommender System by Dwivedi-Yu, Jane, Yi-Chia, Wang, Qin, Lijing, Canton-Ferrer, Cristian, Halevy, Alon Y

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  7. 7
    Active Learning Principles for In-Context Learning with Large Language Models

    Active Learning Principles for In-Context Learning with Large Language Models by Margatina, Katerina, Schick, Timo, Aletras, Nikolaos, Dwivedi-Yu, Jane

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  8. 8
    Evaluation of Faithfulness Using the Longest Supported Subsequence

    Evaluation of Faithfulness Using the Longest Supported Subsequence by Mittal, Anirudh, Schick, Timo, Artetxe, Mikel, Dwivedi-Yu, Jane

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  9. 9
    Examining the Role of Relationship Alignment in Large Language Models

    Examining the Role of Relationship Alignment in Large Language Models by Altenburger, Kristen M, Jiang, Hongda, Kraut, Robert E, Yi-Chia, Wang, Dwivedi-Yu, Jane

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  10. 10
    GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements

    GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements by Havrilla, Alex, Raparthy, Sharath, Nalmpantis, Christoforus, Dwivedi-Yu, Jane, Zhuravinskyi, Maksym, Hambro, Eric, Raileanu, Roberta

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  11. 11
    TOOLVERIFIER: Generalization to New Tools via Self-Verification

    TOOLVERIFIER: Generalization to New Tools via Self-Verification by Mekala, Dheeraj, Weston, Jason, Lanchantin, Jack, Raileanu, Roberta, Lomeli, Maria, Shang, Jingbo, Dwivedi-Yu, Jane

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  12. 12
    Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

    Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources by Lupidi, Alisia, Gemmell, Carlos, Cancedda, Nicola, Dwivedi-Yu, Jane, Weston, Jason, Foerster, Jakob, Raileanu, Roberta, Lomeli, Maria

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  13. 13
    NormBank: A Knowledge Bank of Situational Social Norms

    NormBank: A Knowledge Bank of Situational Social Norms by Ziems, Caleb, Dwivedi-Yu, Jane, Yi-Chia, Wang, Halevy, Alon, Yang, Diyi

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  14. 14
    Teaching Large Language Models to Reason with Reinforcement Learning

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

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  15. 15
    Active Retrieval Augmented Generation

    Active Retrieval Augmented Generation by Jiang, Zhengbao, Xu, Frank F, Gao, Luyu, Sun, Zhiqing, Liu, Qian, Dwivedi-Yu, Jane, Yang, Yiming, Callan, Jamie, Neubig, Graham

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  16. 16
    Self-Taught Evaluators

    Self-Taught Evaluators by Wang, Tianlu, Kulikov, Ilia, Golovneva, Olga, Yu, Ping, Yuan, Weizhe, Dwivedi-Yu, Jane, Pang, Richard Yuanzhe, Fazel-Zarandi, Maryam, Weston, Jason, Li, Xian

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  17. 17
    TimelineQA: A Benchmark for Question Answering over Timelines

    TimelineQA: A Benchmark for Question Answering over Timelines by Wang-Chiew, Tan, Dwivedi-Yu, Jane, Li, Yuliang, Lambert, Mathias, Saeidi, Marzieh, Yan, Jing Nathan, Halevy, Alon Y

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  18. 18
    Efficient Tool Use with Chain-of-Abstraction Reasoning

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

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  19. 19
    Toolformer: Language Models Can Teach Themselves to Use Tools

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

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  20. 20
    ROBBIE: Robust Bias Evaluation of Large Generative Language Models

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

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