Chancharik Mitra

20 papers A* 4Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Edison 3.0: A Multimodal RAG System for Large-Scale Educational Q&A with Human-in-the-Loop Oversight. SIGCSE (2) Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi
2026	A*	`conf`	EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants. AAAI Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi
2026	—	`conf`	Improving Online Learning: Using Utterance Distribution to Improve Student-Facing Assistants in Discussion Forums. SIGCSE (2) Wolfgang Edholm, Justin Park, Mihran Miroyan, Chancharik Mitra, Narges Norouzi
2026	J	`jnl`	TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs. CoRR Baiqi Li, Kangyi Zhao, Ce Zhang, Chancharik Mitra, Jean de Dieu Nyandwi, Gedas Bertasius
2025	J	`jnl`	Activation Reward Models for Few-Shot Model Alignment. CoRR Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogério Feris, Trevor Darrell, Deva Ramanan, Roei Herzig
2025	—	`conf`	Analyzing Pedagogical Quality and Efficiency of LLM Responses with TA Feedback to Live Student Questions. SIGCSE (1) Mihran Miroyan, Chancharik Mitra, Rishi Jain, Gireeja Ranade, Narges Norouzi
2025	J	`jnl`	EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants. CoRR Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi
2025	J	`jnl`	Less is More Tokens: Efficient Math Reasoning via Difficulty-Aware Chain-of-Thought Distillation. CoRR Abdul Waheed, Chancharik Mitra, Laurie Z. Wang, Deva Ramanan, Bhiksha Raj
2025	J	`jnl`	Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations. CoRR Chancharik Mitra, Yusen Luo, Raj Saravanan, Dantong Niu, Anirudh Pai, Jesse Thomason, Trevor Darrell, Abrar Anwar, Deva Ramanan, Roei Herzig
2025	—	`conf`	Raising the Bar: Automating Consistent and Equitable Student Support with LLMs. SIGCSE (2) Meenakshi Mittal, Azalea Bailey, Victoria Phelps, Mihran Miroyan, Chancharik Mitra, Rishi Jain, Rose Niousha, Gireeja Ranade, Narges Norouzi
2025	J	`jnl`	Towards Understanding Camera Motions in Any Video. CoRR 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
2024	A*	`conf`	Compositional Chain-of-Thought Prompting for Large Multimodal Models. CVPR Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig
2024	—	`conf`	Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums. SIGCSE (2) Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi
2024	A*	`conf`	Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning. NeurIPS Brandon Huang, Chancharik Mitra, Leonid Karlinsky, Assaf Arbelle, Trevor Darrell, Roei Herzig
2024	J	`jnl`	Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning. CoRR Brandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig
2024	A*	`conf`	RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums. AAAI Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi
2024	J	`jnl`	Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers. CoRR Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogério Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig
2024	—	`conf`	Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding. NAACL-HLT Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason
2023	J	`jnl`	Comparative Multi-View Language Grounding. CoRR Chancharik Mitra, Abrar Anwar, Rodolfo Corona, Dan Klein, Trevor Darrell, Jesse Thomason
2023	J	`jnl`	Compositional Chain-of-Thought Prompting for Large Multimodal Models. CoRR Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig