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ORCIDChancharik Mitra
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2020 – today
- 2025
[c7]Mihran Miroyan
, Chancharik Mitra, Rishi Jain, Gireeja Ranade, Narges Norouzi:
Analyzing Pedagogical Quality and Efficiency of LLM Responses with TA Feedback to Live Student Questions. SIGCSE (1) 2025: 770-776- [c6]Meenakshi Mittal, Azalea Bailey, Victoria Phelps, Mihran Miroyan, Chancharik Mitra, Rishi Jain, Rose Niousha, Gireeja Ranade, Narges Norouzi:
Raising the Bar: Automating Consistent and Equitable Student Support with LLMs. SIGCSE (2) 2025: 1549-1550 - [i9]Zhiqiu Lin, Siyuan Cen, Daniel Jiang, Jay Karhade, Hewei Wang, Chancharik Mitra, Tiffany Ling, Yuhan Huang, Sifan Liu, Mingyu Chen, Rushikesh Zawar, Xue Bai, Yilun Du, Chuang Gan, Deva Ramanan:
Towards Understanding Camera Motions in Any Video. CoRR abs/2504.15376 (2025) - [i8]Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogério Feris, Trevor Darrell, Deva Ramanan, Roei Herzig:
Activation Reward Models for Few-Shot Model Alignment. CoRR abs/2507.01368 (2025) - [i7]Abdul Waheed, Chancharik Mitra, Laurie Z. Wang, Deva Ramanan, Bhiksha Raj:
Less is More Tokens: Efficient Math Reasoning via Difficulty-Aware Chain-of-Thought Distillation. CoRR abs/2509.05226 (2025) - [i6]Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi:
EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants. CoRR abs/2511.21742 (2025) - [i5]Chancharik Mitra, Yusen Luo, Raj Saravanan, Dantong Niu, Anirudh Pai, Jesse Thomason, Trevor Darrell, Abrar Anwar, Deva Ramanan, Roei Herzig:
Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations. CoRR abs/2511.22697 (2025) - 2024
- [c5]Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi:
RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums. AAAI 2024: 23215-23223 - [c4]Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig:
Compositional Chain-of-Thought Prompting for Large Multimodal Models. CVPR 2024: 14420-14431 - [c3]Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason:
Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding. NAACL-HLT 2024: 3177-3189 - [c2]Brandon Huang, Chancharik Mitra, Leonid Karlinsky, Assaf Arbelle, Trevor Darrell, Roei Herzig:
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning. NeurIPS 2024 - [c1]Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi:
Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums. SIGCSE (2) 2024: 1752-1753 - [i4]Brandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig:
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning. CoRR abs/2406.15334 (2024) - [i3]Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogério Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig:
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers. CoRR abs/2412.00142 (2024) - 2023
- [i2]Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason:
Comparative Multi-View Language Grounding. CoRR abs/2311.06694 (2023) - [i1]Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig:
Compositional Chain-of-Thought Prompting for Large Multimodal Models. CoRR abs/2311.17076 (2023)
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