Zaid Khan

According to our database, Zaid Khan authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

OpenThoughts: Data Recipes for Reasoning Models.

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

CoRR, June, 2025

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems.

Zaid Khan, Elias Stengel-Eskin, Archiki Prasad, Jaemin Cho, Mohit Bansal

CoRR, April, 2025

DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning.

Fucai Ke, Vijay Kumar B. G, Xingjian Leng, Zhixi Cai, Zaid Khan, Weiqing Wang, Pari Delir Haghighi, Hamid Rezatofighi, Manmohan Chandraker

CoRR, March, 2025

MutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use.

Zaid Khan, Ali Farhadi, Ranjay Krishna, Luca Weihs, Mohit Bansal, Tanmay Gupta

CoRR, February, 2025

Learning to Generate Unit Tests for Automated Debugging.

Archiki Prasad, Elias Stengel-Eskin, Justin Chih-Yao Chen, Zaid Khan, Mohit Bansal

CoRR, February, 2025

DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback.

Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement.

Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker

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

Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering.

Zaid Khan, Yun Fu

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

2023

Exploring Question Decomposition for Zero-Shot VQA.

Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning.

Zaid Khan, Yun Fu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!

Zaid Khan, B. G. Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Families in Wild Multimedia: A Multimodal Database for Recognizing Kinship.

Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu

IEEE Trans. Multim., 2022

Single-Stream Multi-level Alignment for Vision-Language Pretraining.

Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Exploiting BERT for Multimodal Target Sentiment Classification through Input Space Translation.

Zaid Khan, Yun Fu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision.

Zaid Khan, Yun Fu

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship.

Joseph P. Robinson, Zaid Khan, Yu Yin, Ming Shao, Yun Fu

CoRR, 2020

Recognizing Families In the Wild (RFIW): The 4th Edition.

Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020