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Author

Chuan Hao

Observed name: Hao, Chuan
Observed institution: ProQuest (United States)
OpenAlex ID: A5129825545
WorkFactory: Turning Professional Intents into Executable Work for Scalable Agent Training
2026 · Zeng, Ziyang, Chen, Tingyang, et al. · arXiv (Cornell University)
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Multiscale Policy Optimization for Long-Horizon LLM Agents
2026 · Ren, Tao, Yang, Hui, et al. · arXiv (Cornell University)
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IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems
2026 · Yang, A. Jian, Huang, An, et al. · arXiv (Cornell University)
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Harness Scaling for Generalizable Agentic Reinforcement Learning
2026 · Bai, Fei, Song, Huatong, et al. · arXiv (Cornell University)
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Evolving with Open Worlds: Towards Recursive Self-Improvement for Future Forecasting
2026 · Chen, Zhipeng, Liang, Yunsen, et al. · arXiv (Cornell University)
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RealCLI: Toward a Unified Evaluation of Human-Agent Collaboration for CLI Agents
2026 · Liu, Yunqi, Wang, Peiyu, et al. · arXiv (Cornell University)
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ClawGym II: Exploring Black-Box RL on Agent Harness
2026 · Song, Huatong, Bai, Fei, et al. · arXiv (Cornell University)
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Every Coin Has Two Sides: On the Dual Nature of Generalization in On-Policy Distillation of Large Language Models
2026 · Li, Zhaoyi, Kong, Deyang, et al. · arXiv (Cornell University)
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LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling
2026 · Yang, Jian, Guo, Shawn, et al. · arXiv (Cornell University)
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FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents
2026 · Deng, Jia, Chen, Yimeng, et al. · arXiv (Cornell University)
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TMAS: Scaling Test-Time Compute via Multi-Agent Synergy
2026 · Wu, George, Jing, Nan, et al. · arXiv (Cornell University)
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ClawGym: A Scalable Framework for Building Effective Claw Agents
2026 · Bai, Fei, Song, Huatong, et al. · arXiv (Cornell University)
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InCoder-32B: Code Foundation Model for Industrial Scenarios
2026 · Yang, Jian, Zhang, Wei, et al. · arXiv (Cornell University)
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IQuest-Coder-V1 Technical Report
2026 · Yang, Jian, Zhang, Wei, et al. · arXiv (Cornell University)
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Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization
2026 · Fei Bai, Zhipeng Chen, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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InCoder-32B-Thinking: Industrial Code World Model for Thinking
2026 · Jian Yang, Wei Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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LoopCoder: Scaling Code Intelligence via Looped Language Models
2026 · Jian Yang, Wei Zhang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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SEAR: Self-Judging Agentic Reward Models
2026 · Bingqian Li, Chuan Hao, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 18
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