Hi, I am a PhD Candidate at the University of Illinois Urbana‑Champaign, advised by Svetlana Lazebnik. I also closely collaborate with Unnat Jain and Heng Ji. I am working on post-training methods to build models for robotics that generalize. Some keywords to easily convey my research: MoT, VLAs, WAMs, VLMs, and multi‑modal representation learning.
Previously, I completed my B.Tech from Indian Institute of Technology, Gandhinagar, where I was awarded the Institute Gold medal for graduating at the top of my discipline.
I had great summers at Amazon (Ring AI, 2026) and Microsoft Research (2025), where I worked on long-video understanding with MLLMs and on vision language navigation with MLLM agents, respectively. Check out the projects: Repairable Uncertainty (Amazon) and AgentNav (Microsoft Research).
Amazon
Summer 2026 |
Microsoft Research
Summer & Fall 2025 |
University of British Columbia
Summer 2023 |
USC (AIISC)
2022‑2024 |
ISRO
Spring 2023 |
TCS Research
Winter & Spring 2023 |
EFICENS
Summer 2022 |
Publications |
Generalizable VLA Finetuning via Representation Anchoring and Language-Action AlignmentDwip Dalal, Shivansh Patel, Chahit Jain, Jeonghwan Kim, Utkarsh Mishra, Alex Baratian, Hyeonjeong Ha, Heng Ji, Svetlana Lazebnik*, Unnat Jain* Under Review Paper | Code | Project Page |
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Coming soon!
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Repairable Uncertainty: Selective Temporal Reacquisition for Long-Video Understanding with MLLMsDwip Dalal, Keval Doshi, Amar Kumar, Wei Wang, Sowndarya Sundar, Noranart Vesdapunt, Jim Thomas, Kah Kuen Fu, Svetlana Lazebnik Under Review |
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Constructive Distortion: Improving MLLMs with Attention-Guided Image WarpingDwip Dalal, Gautam Vashishtha, Utkarsh Mishra, Jeonghwan Kim, Madhav Kanda, Hyeonjeong Ha, Svetlana Lazebnik, Heng Ji, Unnat Jain ICLR 2026 Paper | Code | Project Page |
Can MLLMs Find Their Way in a City? Exploring Emergent Navigation from Web-Scale KnowledgeDwip Dalal*, Utkarsh Mishra*, Narendra Ahuja, Nebojsa Jojic EACL 2026 (Oral) Paper | arXiv | Code | Project Page |
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Compositional Reasoning via Joint Image and Language DecompositionDwip Dalal*, Madhav Kanda*, Zhenhailong Wang, Heng Ji, Unnat Jain EACL 2026 Paper | Project Page |
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Learning Robust Deep Visual Representations from EEG Brain RecordingsPrajwal Singh, Dwip Dalal, Gautam Vashishtha, Shanmuganathan Raman, Krishna Prasad Miyapuram WACV 2024 Paper | Code | Project Page | WACV Daily | Best of WACV 2024 |
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Single Image LDR to HDR Conversion Using Conditional DiffusionDwip Dalal, Gautam Vashishtha, Prajwal Singh, Shanmuganathan Raman International Conference on Image Processing (ICIP'23) (Oral) Paper | Project Page |
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CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool RepurposingCheng Qian, Hyeonjeong Ha, Jiayu Liu, Jeonghwan Kim, Jiateng Liu, Bingxuan Li, Aditi Tiwari, Dwip Dalal, Zhenhailong Wang, Xiusi Chen, Mahdi Namazifar, Yunzhu Li, Heng Ji COLM 2026 Paper | Code | Project Page |
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FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question AnsweringAnku Rani, SM Tonmoy, Dwip Dalal, Shreya Gautam, Megha C., Aman Chadha, Amit Sheth, Amitava Das ACL 2023 Paper | Code & Dataset |
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FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-AnsweringM Chakraborty, K Pahwa, A Rani, S Chatterjee, Dwip Dalal, H Dave, ... A Chadha, Amit Sheth, Amitava Das EMNLP 2023 Paper | Project Page |
Technical Reports |
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A Dataset-Centric Survey of LLM-Agents for Data ScienceDwip Dalal, Chuxuan Hu, Xiaona Zhou Arxiv, 2025 Paper |
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Flow Symmetrization for Parameterized Constrained DiffeomorphismsDwip Dalal*, Aalok Gangopadhyay*, Progyan Das*, Shanmuganathan Raman Arxiv, 2024 Paper | Code | Project Page |
Workshop Papers |
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ODESolvers are also Wayfinders: Neural ODEs for Multi-Agent PathplanningDwip Dalal*, Progyan Das*, Anirban Dasgupta NeurIPS 2023 Workshop - Deep Learning and Differential Equations III Paper | Code |
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MMT: A Multilingual and Multi-Topic Indian Social Media DatasetDwip Dalal, Vivek Srivastava, Mayank Singh EACL 2023 workshop - Cross-Cultural Considerations in NLP Paper | Code & Dataset |
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SEPSIS: I can catch your lies - A new paradigm for Deception DetectionAnku Rani, Dwip Dalal, Shreya Gautam, Pankaj Gupta, Vinija Jain, Aman Chadha, Amit Sheth, Amitava Das ACL SRW 2025 Paper | Code & Dataset |