PPaperPicks

Animesh Mukherjee

Indian Institute of Technology, Kharagpur, West Bengal, India

18 papers at tracked venues · 6 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models
  2. Bowling with ChatGPT: On the Evolving User Interactions with Conversational AI Systems
  3. ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems
  4. Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance
  5. Efficient Continual Pre-training of LLMs for Low-resource Languages
  6. Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions
  7. Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations
  8. HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation
  9. How (Un)ethical Are Instruction-Centric Responses of LLMs? Unveiling the Vulnerabilities of Safety Guardrails to Harmful Queries
  10. MutantPrompt: Prompt Optimization via Mutation Under a Budget on Modest-sized LMs
  11. Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models
  12. SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models
  13. Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment
  14. Toxicity Begets Toxicity: Unraveling Conversational Chains in Political Podcasts
  15. Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context
  16. Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs
  17. DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem
  18. Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon