Brihi Joshi

Orcid: 0000-0001-7607-4119

According to our database1, Brihi Joshi authored at least 21 papers between 2018 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations.
CoRR, September, 2025

Improving LLM Personas via Rationalization with Psychological Scaffolds.
CoRR, April, 2025

CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization.
CoRR, March, 2025

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

PrimeX: A Dataset of Worldview, Opinion, and Explanation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Improving Language Model Personas via Rationalization with Psychological Scaffolds.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Tailoring Self-Rationalizers with Multi-Reward Distillation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
KNIFE: Knowledge Distillation with Free-Text Rationales.
CoRR, 2022

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models.
CoRR, 2022

BaDumTss: Multi-task Learning for Beatbox Transcription.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

ER-Test: Evaluating Explanation Regularization Methods for Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2020
Analyzing and Detecting Collusive Users Involved in Blackmarket Retweeting Activities.
ACM Trans. Intell. Syst. Technol., 2020

It's Not What They Play, It's What You Hear: Understanding Perceived vs. Induced Emotions in Hindustani Classical Music.
Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020

The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
CoReRank: Ranking to Detect Users Involved in Blackmarket-Based Collusive Retweeting Activities.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018
Generating Clues for Gender based Occupation De-biasing in Text.
CoRR, 2018

Retweet Us, We will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018


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