Yunzhong He

According to our database, Yunzhong He authored at least 19 papers between 2016 and 2026.

Collaborative distances:

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

2026

Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR.

Utkarsh Tyagi, Xingang Guo, MohammadHossein Rezaei, Daniel George, Anas Mahmoud, Jackson Lee, Bing Liu, Yunzhong He

CoRR, May, 2026

Reward Hacking in Rubric-Based Reinforcement Learning.

Anas Mahmoud, MohammadHossein Rezaei, Zihao Wang, Anisha Gunjal, Bing Liu, Yunzhong He

CoRR, May, 2026

SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution.

Mohit Raghavendra, Soham Dan, Miguel Romero Calvo, Yannis Yiming He, Johannes Baptist Mols, Gautam Anand, Cole McCollum, Edgar Arakelyan, Vijay Bharadwaj, Andrew Park, Jeff Da, MohammadHossein Rezaei, Bing Liu, Brad Kenstler, Yunzhong He

CoRR, May, 2026

Pre-training Language Model for Friend Recommendation: A Case Study of Large Social Graph.

Bin Ren, Wei Sun, Shuqi Feng, Yunzhong He, Jun Xiao

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Agentic Rubrics as Contextual Verifiers for SWE Agents.

Mohit Raghavendra, Anisha Gunjal, Bing Liu, Yunzhong He

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Audio MultiChallenge: A Multi-Turn Evaluation of Spoken Dialogue Systems on Natural Human Interaction.

Advait Gosai, Tyler Vuong, Utkarsh Tyagi, Steven Li, Wenjia You, Miheer Bavare, Arda Uçar, Zhongwang Fang, Brian Jang, Bing Liu, Yunzhong He

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning.

Afra Feyza Akyürek, Advait Gosai, Chen Bo Calvin Zhang, Vipul Gupta, Jaehwan Jeong, Anisha Gunjal, Tahseen Rabbani, Maria Mazzone, David Randolph IV, Mohammad Mahmoudi Meymand, Gurshaan Chattha, Paula Rodriguez, Diego A Mares Buendia, Pavit Singh, Michael Liu, Subodh Chawla, Peter Cline, Lucy Ogaz, Ernesto Gabriel Hernández Montoya, Zihao Wang, Pavi Bhatter, Marcos Ayestaran, Bing Liu, Yunzhong He

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning.

Afra Feyza Akyürek, Advait Gosai, Chen Bo Calvin Zhang, Vipul Gupta, Jaehwan Jeong, Anisha Gunjal, Tahseen Rabbani, Maria Mazzone, David Randolph IV, Mohammad Mahmoudi Meymand, Gurshaan Chattha, Paula Rodriguez, Diego Mares, Pavit Singh, Michael Liu, Subodh Chawla, Peter Cline, Lucy Ogaz, Ernesto Hernandez, Zihao Wang, Pavi Bhatter, Marcos Ayestaran, Bing Liu, Yunzhong He

CoRR, November, 2025

Beyond Seeing: Evaluating Multimodal LLMs on Tool-Enabled Image Perception, Transformation, and Reasoning.

Xingang Guo, Utkarsh Tyagi, Advait Gosai, Paula Vergara, Jayeon Park, Ernesto Gabriel Hernández Montoya, Chen Bo Calvin Zhang, Bin Hu, Yunzhong He, Bing Liu, Rakshith Sharma Srinivasa

CoRR, October, 2025

Online Rubrics Elicitation from Pairwise Comparisons.

MohammadHossein Rezaei, Robert Vacareanu, Zihao Wang, Clinton Wang, Bing Liu, Yunzhong He, Afra Feyza Akyürek

CoRR, October, 2025

TutorBench: A Benchmark To Assess Tutoring Capabilities Of Large Language Models.

Rakshith S. Srinivasa, Zora Che, Chen Bo Calvin Zhang, Diego Mares, Ernesto Hernandez, Jayeon Park, Dean Lee, Guillermo Mangialardi, Charmaine Ng, Ed-Yeremai Hernandez-Cardona, Anisha Gunjal, Yunzhong He, Bing Liu, Chen Xing

CoRR, October, 2025

Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training.

Junkai Zhang, Zihao Wang, Lin Gui, Swarnashree Mysore Sathyendra, Jaehwan Jeong, Victor Veitch, Wei Wang, Yunzhong He, Bing Liu, Lifeng Jin

CoRR, September, 2025

2023

Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions.

Hui Yang, Sifu Yue, Yunzhong He

CoRR, 2023

HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace.

Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace.

Yunzhong He, Yuxin Tian, Mengjiao Wang, Feier Chen, Licheng Yu, Maolong Tang, Congcong Chen, Ning Zhang, Bin Kuang, Arul Prakash

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2021

Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook.

Yiqun Liu, Kaushik Rangadurai, Yunzhong He, Siddarth Malreddy, Xunlong Gui, Xiaoyi Liu, Fedor Borisyuk

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

A Social Search Model for Large Scale Social Networks.

Yunzhong He, Wenyuan Li, Liang-Wei Chen, Gabriel Forgues, Xunlong Gui, Sui Liang, Bo Hou

CoRR, 2020

2017

Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics.

Nishant Shukla, Yunzhong He, Frank Chen, Song-Chun Zhu

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration.

Changsong Liu, Shaohua Yang, Sari Saba-Sadiya, Nishant Shukla, Yunzhong He, Song-Chun Zhu, Joyce Yue Chai

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016