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Supriyo Chakraborty

When Load-Balancing Goes Too Far: Expert Pruning in Over-Dispersed Mixture-of-Experts Models
2026 · Kapusuzoglu, Berkcan, Pryor, Connor, et al. · arXiv (Cornell University)
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Structured Thoughts For Improved Reasoning And Context Pruning
2026 · Sarwar, Zain, Chakraborty, Supriyo, et al. · arXiv (Cornell University)
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On the Policy Gradient Foundations of Group Relative Policy Optimization: Credit Assignment, Gradient Sparsity, and Rank Collapse
2026 · Mishra, Amritansh, Chakraborty, Supriyo, et al. · arXiv (Cornell University)
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Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection
2026 · Association for Computational Linguistics 2026, Bansal, Mohit, et al. · Underline Science Inc.
CoT-Guard: Small Models for Strong Monitoring
2026 · Diwan, Nirav, Wang, Han, et al. · arXiv (Cornell University)
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Know Thy Reasoner: Not All Language Models Explore Alike
2026 · Choraria, Moulik, Gerogiannis, Argyrios, et al. · arXiv (Cornell University)
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Decomposing the Delta: What Do Models Actually Learn from Preference Pairs?
2026 · Lee, Chia-Hsuan, Zhou, Mingyang, et al. · arXiv (Cornell University)
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Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection
2026 · Niu, Tianyi, Chen, Justin Chih-Yao, et al. · arXiv (Cornell University)
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Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection
2026 · Tianyi Niu, Justin Chen, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Critique-Guided Distillation for Robust Reasoning via Refinement
2025 · Kapusuzoglu, Berkcan, Chakraborty, Supriyo, et al. · arXiv (Cornell University)
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Works count: 10
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