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Tanmoy Chakraborty

Understanding the Physics of Key-Value Cache Compression for LLMs through Attention Dynamics
2026 · Ananthanarayanan, Samhruth, Sengupta, Ayan, et al. · arXiv (Cornell University) · 4
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Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects
2026 · Hoang, Phu Gia, Chatterjee, Anwoy, et al. · arXiv (Cornell University) · 2
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It Takes a MAESTRO To Prune Bad Experts
2026 · Goel, Palaash, Maheshwari, Ayush, et al. · arXiv (Cornell University) · 2
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Co-FactChecker: A Framework for Human-AI Collaborative Claim Verification Using Large Reasoning Models
2026 · Sahnan, Dhruv, Dutta, Subhabrata, et al. · arXiv (Cornell University) · 2
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Route, Communicate, and Reason: Gated Routing and Adaptive Depth for Efficient Multi-Agent Reasoning
2026 · Ghosh, Sudipto, Chakraborty, Tanmoy · arXiv (Cornell University) · 1
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Latent Performance Profiling of Large Language Models
2026 · Chakraborty, Tanmoy, Sengupta, Ayan, et al. · arXiv (Cornell University) · 1
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SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online Polarization
2026 · Naseem, Usman, Geislinger, Robert, et al. · arXiv (Cornell University) · 1
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How does longer temporal context enhance multimodal narrative video processing in the brain?
2026 · Jindal, Prachi, Khandelwal, Anant, et al. · arXiv (Cornell University) · 1
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Linguistic properties and model scale in brain encoding: from small to compressed language models
2026 · Oota, Subba Reddy, Rowtula, Vijay, et al. · arXiv (Cornell University) · 1
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HalluPrism: When Multimodal Uncertainty Should Diagnose, Not Decide
2026 · Aman Prakash, Sourish Dasgupta, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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When Safety Overrides Vision: Exploring Dynamics between Vision Influence and Safety Alignment in Vision-Language Models
2026 · Gupta, Mehak, Chakraborty, Tanmoy · arXiv (Cornell University)
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Unifying Depth and Width Pruning for LLMs via Binary Knapsack Optimization
2026 · Goel, Palaash, Sengupta, Ayan, et al. · arXiv (Cornell University)
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Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay
2026 · Oota, Subba Reddy, Khandelwal, Anant, et al. · arXiv (Cornell University)
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Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning
2026 · Mishra, Sahil, Srinivasan, Srinitish, et al. · arXiv (Cornell University)
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Factual and Edit-Sensitive Graph-to-Sequence Generation via Graph-Aware Adaptive Noising
2026 · Shahane, Aditya Hemant, Sirohi, Anuj Kumar, et al. · arXiv (Cornell University)
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Jailbreaking Large Language Models
2026 · Palash Nandi, Tanmoy Chakraborty · CRC Press eBooks
From Images to Words: Efficient Cross-Modal Knowledge Distillation to Language Models from Black-box Teachers
2026 · Sengupta, Ayan, Dixit, Shantanu, et al. · arXiv (Cornell University)
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Markovian ODE-guided scoring can assess the quality of offline reasoning traces in language models
2026 · Nandi, Arghodeep, Saxena, Ojasva, et al. · arXiv (Cornell University)
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SpatialMath: Spatial Comprehension-Infused Symbolic Reasoning for Mathematical Problem-Solving
2026 · Bajpai, Ashutosh, Bhandari, Akshat, et al. · arXiv (Cornell University)
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Tree-of-Concerns: Hierarchical Multi-Agent Debate for Unstated-Limitation Extraction in Scientific Critique
2026 · Sahil Mishra, Niranjan Rajeev, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Counter with Evidence! A Multi-Agent Memory Efficient Reasoning Framework for Hate Category Informed Counterspeech Generation
2026 · Sujoy Nath, Aswini Kumar, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 21
Citation count: 16
H-index: 2
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