Rima Hazra

According to our database, Rima Hazra authored at least 29 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Lost in Interpretation: The Plausibility-Faithfulness Trade-off in Cross-Lingual Explanations.

Somnath Banerjee, Pranav Jha, Rima Hazra, Animesh Mukherjee

CoRR, May, 2026

SafeMath: Inference-time Safety improves Math Accuracy.

Sagnik Basu, Subhrajit Mitra, Aman Juneja, Somnath Banerjee, Rima Hazra, Animesh Mukherjee

CoRR, March, 2026

SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems.

Rima Hazra, Bikram Ghuku, Ilona Marchenko, Yaroslava Tokarieva, Sayan Layek, Somnath Banerjee, Julia Stoyanovich, Mykola Pechenizkiy

CoRR, March, 2026

Bridging the Multilingual Safety Divide: Efficient, Culturally-Aware Alignment for Global South Languages.

Somnath Banerjee, Rima Hazra, Animesh Mukherjee

CoRR, February, 2026

From Fluent to Verifiable: Claim-Level Auditability for Deep Research Agents.

Razeen A Rasheed, Somnath Banerjee, Animesh Mukherjee, Rima Hazra

CoRR, February, 2026

AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models.

Sayantan Adak, Pratyush Chatterjee, Somnath Banerjee, Rima Hazra, Somak Aditya, Animesh Mukherjee

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ProSocialAlign: Preference Conditioned Test Time Alignment in Language Models.

Somnath Banerjee, Sayan Layek, Sayantan Adak, Mykola Pechenizkiy, Animesh Mukherjee, Rima Hazra

CoRR, December, 2025

Attributional Safety Failures in Large Language Models under Code-Mixed Perturbations.

Somnath Banerjee, Pratyush Chatterjee, Shanu Kumar, Sayan Layek, Parag Agrawal, Rima Hazra, Animesh Mukherjee

CoRR, May, 2025

MemeSense: An Adaptive In-Context Framework for Social Commonsense Driven Meme Moderation.

Sayantan Adak, Somnath Banerjee, Rajarshi Mandal, Avik Halder, Sayan Layek, Rima Hazra, Animesh Mukherjee

Trans. Mach. Learn. Res., 2025

Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models.

Somnath Banerjee, Sayan Layek, Hari Shrawgi, Rajarshi Mandal, Avik Halder, Shanu Kumar, Sagnik Basu, Parag Agrawal, Rima Hazra, Animesh Mukherjee

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance.

Somnath Banerjee, Avik Halder, Rajarshi Mandal, Sayan Layek, Ian Soboroff, Rima Hazra, Animesh Mukherjee

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

How (Un)ethical Are Instruction-Centric Responses of LLMs? Unveiling the Vulnerabilities of Safety Guardrails to Harmful Queries.

Somnath Banerjee, Sayan Layek, Rima Hazra, Animesh Mukherjee

Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

Turning Logic Against Itself: Probing Model Defenses Through Contrastive Questions.

Rachneet Singh Sachdeva, Rima Hazra, Iryna Gurevych

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment.

Somnath Banerjee, Sayan Layek, Pratyush Chatterjee, Animesh Mukherjee, Rima Hazra

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models.

Somnath Banerjee, Sayan Layek, Soham Tripathy, Shanu Kumar, Animesh Mukherjee, Rima Hazra

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem.

Somnath Banerjee, Avik Dutta, Aaditya Agrawal, Rima Hazra, Animesh Mukherjee

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations.

Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context.

Somnath Banerjee, Amruit Sahoo, Sayan Layek, Avik Dutta, Rima Hazra, Animesh Mukherjee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models.

Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Redefining Developer Assistance: Through Large Language Models in Software Ecosystem.

Somnath Banerjee, Avik Dutta, Sayan Layek, Amruit Sahoo, Sam Conrad Joyce, Rima Hazra

CoRR, 2023

Modeling interdisciplinary interactions among Physics, Mathematics & Computer Science.

Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee

CoRR, 2023

Evaluating the Ebb and Flow: An In-depth Analysis of Question-Answering Trends across Diverse Platforms.

Rima Hazra, Agnik Saha, Somnath Banerjee, Animesh Mukherjee

CoRR, 2023

Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities.

Rima Hazra, Debanjan Saha, Amruit Sahoo, Somnath Banerjee, Animesh Mukherjee

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Mining the online infosphere: A survey.

Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee

WIREs Data Mining Knowl. Discov., 2022

Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction.

Rima Hazra, Arpit Dwivedi, Animesh Mukherjee

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Joint Autoregressive and Graph Models for Software and Developer Social Networks.

Rima Hazra, Hardik Aggarwal, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti

Proceedings of the Advances in Information Retrieval, 2021

2020

Characterising Authors on the Extent of their Paper Acceptance: A Case Study of the Journal of High Energy Physics.

Rima Hazra, Aryan, Hardik Aggarwal, Matteo Marsili, Animesh Mukherjee

Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

2019

The rise and rise of interdisciplinary research: Understanding the interaction dynamics of three major fields - Physics, Mathematics & Computer Science.

Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee

CoRR, 2019

The Rise and Rise of Interdisciplinary Research: Understanding the Interaction Dynamics of Three Major Fields - Physics, Mathematics and Computer Science.

Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee

Proceedings of the Digital Libraries at the Crossroads of Digital Information for the Future, 2019