Chancharik Mitra

According to our database, Chancharik Mitra authored at least 20 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Building a Precise Video Language with Human-AI Oversight.

Zhiqiu Lin, Chancharik Mitra, Siyuan Cen, Isaac Li, Yuhan Huang, Yu Tong Tiffany Ling, Hewei Wang, Irene Pi, Shihang Zhu, Ryan Rao, George Liu, Jiaxi Li, Ruojin Li, Yili Han, Yilun Du, Deva Ramanan

CoRR, April, 2026

TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs.

Baiqi Li, Kangyi Zhao, Ce Zhang, Chancharik Mitra, Jean de Dieu Nyandwi, Gedas Bertasius

CoRR, February, 2026

Edison 3.0: A Multimodal RAG System for Large-Scale Educational Q&A with Human-in-the-Loop Oversight.

Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

Improving Online Learning: Using Utterance Distribution to Improve Student-Facing Assistants in Discussion Forums.

Wolfgang Edholm, Justin Park, Mihran Miroyan, Chancharik Mitra, Narges Norouzi

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants.

Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations.

Chancharik Mitra, Yusen Luo, Raj Saravanan, Dantong Niu, Anirudh Pai, Jesse Thomason, Trevor Darrell, Abrar Anwar, Deva Ramanan, Roei Herzig

CoRR, November, 2025

Less is More Tokens: Efficient Math Reasoning via Difficulty-Aware Chain-of-Thought Distillation.

Abdul Waheed, Chancharik Mitra, Laurie Z. Wang, Deva Ramanan, Bhiksha Raj

CoRR, September, 2025

Activation Reward Models for Few-Shot Model Alignment.

Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogério Feris, Trevor Darrell, Deva Ramanan, Roei Herzig

CoRR, July, 2025

Towards Understanding Camera Motions in Any Video.

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

CoRR, April, 2025

Raising the Bar: Automating Consistent and Equitable Student Support with LLMs.

Meenakshi Mittal, Azalea Bailey, Victoria Phelps, Mihran Miroyan, Chancharik Mitra, Rishi Jain, Rose Niousha, Gireeja Ranade, Narges Norouzi

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

Analyzing Pedagogical Quality and Efficiency of LLM Responses with TA Feedback to Live Student Questions.

Mihran Miroyan, Chancharik Mitra, Rishi Jain, Gireeja Ranade, Narges Norouzi

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1, 2025

Towards Understanding Camera Motions in Any Video.

Zhiqiu Lin, Siyuan Cen, Daniel Jiang, Jay Karhade, Hewei Wang, Chancharik Mitra, Yu Tong Tiffany Ling, Yuhan Huang, Rushikesh Zawar, Xue Bai, Yilun Du, Chuang Gan, Deva Ramanan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Enhancing Few-Shot Vision-Language Classification With Large Multimodal Model Features.

Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogério Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers.

Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogério Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig

CoRR, 2024

Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums.

Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning.

Brandon Huang, Chancharik Mitra, Leonid Karlinsky, Assaf Arbelle, Trevor Darrell, Roei Herzig

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding.

Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Compositional Chain-of-Thought Prompting for Large Multimodal Models.

Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums.

Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Comparative Multi-View Language Grounding.

Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason

CoRR, 2023