Zaid Khan

29 papers A* 7B 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning.
CoRR
Fucai Ke, Vijay Kumar B. G, Xingjian Leng, Zhixi Cai, Zaid Khan, Weiqing Wang, Pari Delir Haghighi, Hamid Rezatofighi, Manmohan Chandraker
2025 A* conf
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback.
ICLR
Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
2025 J jnl
Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems.
CoRR
Zaid Khan, Elias Stengel-Eskin, Archiki Prasad, Jaemin Cho, Mohit Bansal
2025 J jnl
Learning to Generate Unit Tests for Automated Debugging.
CoRR
Archiki Prasad, Elias Stengel-Eskin, Justin Chih-Yao Chen, Zaid Khan, Mohit Bansal
2025 J jnl
MutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use.
CoRR
Zaid Khan, Ali Farhadi, Ranjay Krishna, Luca Weihs, Mohit Bansal, Tanmay Gupta
2025 J jnl
One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration.
CoRR
Zaid Khan, Archiki Prasad, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
2025 J jnl
OpenThoughts: Data Recipes for Reasoning Models.
CoRR
Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt
2025 J jnl
PRInTS: Reward Modeling for Long-Horizon Information Seeking.
CoRR
Jaewoo Lee, Archiki Prasad, Justin Chih-Yao Chen, Zaid Khan, Elias Stengel-Eskin, Mohit Bansal
2024 A* conf
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering.
CVPR
Zaid Khan, Yun Fu
2024 J jnl
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering.
CoRR
Zaid Khan, Yun Fu
2024 J jnl
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback.
CoRR
Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
2024 A* conf
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement.
CVPR
Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker
2024 J jnl
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement.
CoRR
Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker
2023 A* conf
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning.
ICLR
Zaid Khan, Yun Fu
2023 J jnl
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning.
CoRR
Zaid Khan, Yun Fu
2023 A* conf
Exploring Question Decomposition for Zero-Shot VQA.
NeurIPS
Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu
2023 J jnl
Exploring Question Decomposition for Zero-Shot VQA.
CoRR
Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu
2023 A* conf
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!
CVPR
Zaid Khan, B. G. Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker
2023 J jnl
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!
CoRR
Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker
2022 J jnl
Families in Wild Multimedia: A Multimodal Database for Recognizing Kinship.
IEEE Trans. Multim.
Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu
2022 J jnl
Single-Stream Multi-Level Alignment for Vision-Language Pretraining.
CoRR
Zaid Khan, Vijay Kumar B. G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu
2022 — conf
Single-Stream Multi-level Alignment for Vision-Language Pretraining.
ECCV (36)
Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu
2021 J jnl
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation.
CoRR
Zaid Khan, Yun Fu
2021 A* conf
Exploiting BERT for Multimodal Target Sentiment Classification through Input Space Translation.
ACM Multimedia
Zaid Khan, Yun Fu
2021 — conf
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision.
FAccT
Zaid Khan, Yun Fu
2021 J jnl
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision.
CoRR
Zaid Khan, Yun Fu
2020 J jnl
Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship.
CoRR
Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu
2020 B conf
Recognizing Families In the Wild (RFIW): The 4th Edition.
FG
Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu
2020 J jnl
Recognizing Families In the Wild (RFIW): The 4th Edition.
CoRR
Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu