Retweet Us, We will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services. - Hridoy Sankar Dutta; Aditya Chetan; Brihi Joshi; Tanmoy Chakraborty 002 (ASONAM, 2018)

Generating Clues for Gender based Occupation De-biasing in Text. - Nishtha Madaan; Gautam Singh; Sameep Mehta; Aditya Chetan; Brihi Joshi (CoRR, 2018)

CoReRank: Ranking to Detect Users Involved in Blackmarket-Based Collusive Retweeting Activities. - Aditya Chetan; Brihi Joshi; Hridoy Sankar Dutta; Tanmoy Chakraborty 002 (WSDM, 2019)

The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. - Brihi Joshi; Neil Shah; Francesco Barbieri; Leonardo Neves (COLING, 2020)

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; Jainendra Shukla (ICMI Companion, 2020)

Analyzing and Detecting Collusive Users Involved in Blackmarket Retweeting Activities. - Udit Arora; Hridoy Sankar Dutta; Brihi Joshi; Aditya Chetan; Tanmoy Chakraborty 002 (ACM Trans. Intell. Syst. Technol., 2020)

ER-Test: Evaluating Explanation Regularization Methods for Language Models. - Brihi Joshi; Aaron Chan; Ziyi Liu 007; Shaoliang Nie; Maziar Sanjabi; Hamed Firooz; Xiang Ren 001 (EMNLP (Findings), 2022)

BaDumTss: Multi-task Learning for Beatbox Transcription. - Priya Mehta; Meet Maheshwari; Brihi Joshi; Tanmoy Chakraborty 002 (PAKDD (3), 2022)

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models. - Brihi Joshi; Aaron Chan; Ziyi Liu 007; Shaoliang Nie; Maziar Sanjabi; Hamed Firooz; Xiang Ren 001 (CoRR, 2022)

KNIFE: Knowledge Distillation with Free-Text Rationales. - Aaron Chan; Zhiyuan Zeng; Wyatt Lake; Brihi Joshi; Hanjie Chen; Xiang Ren 001 (CoRR, 2022)

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. - Brihi Joshi; Ziyi Liu 007; Sahana Ramnath; Aaron Chan; Zhewei Tong; Shaoliang Nie; Qifan Wang 001; Yejin Choi 001; Xiang Ren 001 (ACL (1), 2023)

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 007; Kiran Narahari; Takashi Shibuya 001; Ryosuke Mitani; Toshiyuki Sekiya; Jay Pujara; Xiang Ren 001 (ACL (demo), 2023)

OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants. - Jaspreet Ranjit; Brihi Joshi; Rebecca Dorn; Laura Petry; Olga Koumoundouros; Jayne Bottarini; Peichen Liu; Eric Rice; Swabha Swayamdipta (EMNLP, 2024)

Tailoring Self-Rationalizers with Multi-Reward Distillation. - Sahana Ramnath; Brihi Joshi; Skyler Hallinan; Ximing Lu; Liunian Harold Li; Aaron Chan; Jack Hessel; Yejin Choi 001; Xiang Ren 001 (ICLR, 2024)

ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations. - Brihi Joshi; Keyu He; Sahana Ramnath; Sadra Sabouri; Kaitlyn Zhou; Souti Chattopadhyay; Swabha Swayamdipta; Xiang Ren 001 (ACL (Findings), 2025)

CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization. - Brihi Joshi; Sriram Venkatapathy; Mohit Bansal; Nanyun Peng 001; Haw-Shiuan Chang (CoRR, 2025)

Improving LLM Personas via Rationalization with Psychological Scaffolds. - Brihi Joshi; Xiang Ren 001; Swabha Swayamdipta; Rik Koncel-Kedziorski; Tim Paek (CoRR, 2025)

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries. - Sahana Ramnath; Anurag Mudgil; Brihi Joshi; Skyler Hallinan; Xiang Ren 001 (CoRR, 2025)