Jiahe Jin

According to our database, Jiahe Jin authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents.

Prahaladh Chandrahasan, Jiahe Jin, Zhihan Zhang, Tevin Wang, Andy Tang, Lucy Mo, Morteza Ziyadi, Leonardo F. R. Ribeiro, Zimeng Qiu, Markus Dreyer, Akari Asai, Chenyan Xiong

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

2025

Beneficial Reasoning Behaviors in Agentic Search and Effective Post-training to Obtain Them.

Jiahe Jin, Abhijay Paladugu, Chenyan Xiong

CoRR, October, 2025

DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research.

João Coelho, Jingjie Ning, Jingyuan He, Kangrui Mao, Abhijay Paladugu, Pranav Setlur, Jiahe Jin, Jamie Callan, João Magalhães, Bruno Martins, Chenyan Xiong

CoRR, May, 2025

Efficient Agent Training for Computer Use.

Yanheng He, Jiahe Jin, Pengfei Liu

CoRR, May, 2025

Generative AI Act II: Test Time Scaling Drives Cognition Engineering.

Shijie Xia, Yiwei Qin, Xuefeng Li, Yan Ma, Run-Ze Fan, Steffi Chern, Haoyang Zou, Fan Zhou, Xiangkun Hu, Jiahe Jin, Yanheng He, Yixin Ye, Yixiu Liu, Pengfei Liu

CoRR, April, 2025

Revisiting 3D LLM Benchmarks: Are We Really Testing 3D Capabilities?

Jiahe Jin, Yanheng He, Mingyan Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

PC Agent: While You Sleep, AI Works - A Cognitive Journey into Digital World.

Yanheng He, Jiahe Jin, Shijie Xia, Jiadi Su, Run-Ze Fan, Haoyang Zou, Xiangkun Hu, Pengfei Liu

CoRR, 2024

BeHonest: Benchmarking Honesty of Large Language Models.

Steffi Chern, Zhulin Hu, Yuqing Yang, Ethan Chern, Yuan Guo, Jiahe Jin, Binjie Wang, Pengfei Liu

CoRR, 2024