publications

2025

  1. PREPRINT
    ELI-Why: Evaluating the Pedagogical Utility of LLM Explanations
    Brihi Joshi*, Keyu He*, Sahana Ramnath, Sadra Sabouri, Kaitlyn Zhou, Souti Chattopadhyay, Swabha Swayamdipta, and Xiang Ren
    Under Review, 2025
  2. PREPRINT
    Improving LLM Personas via Rationalization with Psychological Scaffolds
    Brihi Joshi, Xiang Ren, Swabha Swayamdipta, Rik Koncel-Kedziorski, and Tim Paek
    Under Review, 2025
  3. PREPRINT
    PrimeX: A dataset of worldview, opinion, and explanation
    Rik Koncel-Kedziorski, Brihi Joshi, and Tim Paek
    Under Review, 2025
  4. PREPRINT
    Position: Evaluation Can Build On Model Interpretations, But Only If They Are Robust
    Isabelle Lee, Emmy Liu, Cathy Jiao, Michael Saxon, Brihi Joshi, Dani Yogatama, Fazl Barez, and Naomi Saphra
    Under Review, 2025

2024

  1. EMNLP
    OATH-Frames: Characterizing Online Attitudes towards Homelessness via LLM Assistants
    Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, and Swabha Swayamdipta
    EMNLP, Outstanding Paper Award, 2024
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  2. ICLR
    Tailoring Self-Rationalizers with Multi-Reward Distillation
    Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, and Xiang Ren
    ICLR, 2024
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2023

  1. ACL
    XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
    Dong-Ho Lee*, Akshen Kadakia*, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, and Xiang Ren
    ACL Demo Track, 2023
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  2. ACL
    Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales
    Brihi Joshi*, Ziyi Liu*, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, and Xiang Ren
    ACL and trAIt@CHI, 2023
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  3. PREPRINT
    KNIFE: Knowledge Distillation with Free-Text Rationales
    Aaron Chan*, Zhiyuan Zeng*, Wyatt Lake, Brihi Joshi, Hanjie Chen, and Xiang Ren
    TrustML-(un)Limited@ICLR, 2023
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2022

  1. EMNLP
    ER-Test: Evaluating Explanation Regularization Methods for NLP Models
    Brihi Joshi*, Aaron Chan*, Ziyi Liu*, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, and Xiang Ren
    Findings of EMNLP and TrustNLP@NAACL, 2022
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2020

  1. COLING
    The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks
    Brihi Joshi, Neil Shah, Francesco Barbieri, and Leonardo Neves
    International Conference on Computational Linguistics, 2020
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  2. ACM TIST
    Analyzing and Detecting Collusive Users Involved in Blackmarket Retweeting Activities
    Udit Arora, Hridoy Sankar Dutta, Brihi Joshi*, Aditya Chetan*, and Tanmoy Chakraborty
    ACM Transactions on Intelligent Systems and Technology, 2020
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  3. ISMIR
    Did You “Read” the Next Episode? Using Textual Cues for Predicting Podcast Popularity
    Brihi Joshi, Shravika Mittal, and Aditya Chetan
    Workshop on NLP for Music and Audio (NLP4MusA), ISMIR, 2020
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  4. ICMI
    It’s Not What They Play, It’s What You Hear: Understanding Perceived vs. Induced Emotions in Hindustani Classical Music
    Amogh Gulati, Brihi Joshi, Chirag Jain, and Jainendra Shukla
    International Conference on Multimodal Interaction Late Breaking Reports, 2020
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2019

  1. WSDM
    CoReRank: Ranking to Detect Users Involved in Blackmarket-Based Collusive Retweeting Activities
    Aditya Chetan*, Brihi Joshi*, Hridoy Sankar Dutta*, and Tanmoy Chakraborty
    International Conference on Web Search and Data Mining, 2019
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2018

  1. ASONAM
    Retweet Us, We will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services
    Hridoy Sankar Dutta, Aditya Chetan, Brihi Joshi, and Tanmoy Chakraborty
    International Conference on Advances in Social Networks Analysis and Mining, 2018
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  2. PREPRINT
    Generating Clues for Gender based Occupation De-biasing in Text
    Nishtha Madaan, Gautam Singh, Sameep Mehta, Aditya Chetan, and Brihi Joshi
    arXiv:1804.03839, 2018
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