Somnath Banerjee

Orcid: 0000-0002-9445-8439

Affiliations:
  • Indian Institute of Technology, Dhanbad, Jharkhand, India


According to our database1, Somnath Banerjee authored at least 21 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
Attributional Safety Failures in Large Language Models under Code-Mixed Perturbations.
CoRR, May, 2025

MemeSense: An Adaptive In-Context Framework for Social Commonsense Driven Meme Moderation.
CoRR, February, 2025

Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment.
CoRR, February, 2025

Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models.
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.
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.
Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem.
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.
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.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem.
CoRR, 2023

Evaluating the Ebb and Flow: An In-depth Analysis of Question-Answering Trends across Diverse Platforms.
CoRR, 2023

Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification.
CoRR, 2022

Multilingual Abusive Comment Detection at Scale for Indic Languages.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hate Speech and Offensive Language Detection in Bengali.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages.
Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

2021
Abusive and Threatening Language Detection in Urdu using Boosting Based and BERT Based Models: A Comparative Approach.
Proceedings of the Working Notes of FIRE 2021, 2021

Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages.
Proceedings of the Working Notes of FIRE 2021, 2021


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