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Author

Xuezhi Cao

Observed name: Cao, Xuezhi
OpenAlex ID: A5141022518
Automatically Benchmarking LLM Code Agents through Agent-driven Annotation and Evaluation
2026 · Lingyue Fu, Bolun Zhang, et al. · Adaptive Agents and Multi-Agents Systems · 1
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DENSE: Distilling Agent Trajectories into Evidence-Grounded Shortcut Trees for Self-Refinement
2026 · Liu, Siyuan, Yu, Fan, et al. · arXiv (Cornell University)
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Contrastive Reinforced Policy Optimization via Privileged Self-Distillation
2026 · Wu, Xingjian, Liu, Junlin, et al. · arXiv (Cornell University)
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ClawTrack: Towards Trace-Level Evaluation and Improvement of Real-World Autonomous Agents
2026 · Wu, Xingjian, Zhu, Xuhang, et al. · arXiv (Cornell University)
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ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders
2026 · Peng, Zhongyuan, Huang, Dan, et al. · arXiv (Cornell University)
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OPERA: Aligning Open-Ended Reasoning via Objective Perplexity-based Reinforcement Learning
2026 · Jiang, Wenxuan, Fan, Zining, et al. · arXiv (Cornell University)
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Meeseeks: A Feedback-Driven, Iterative Self-Correction Benchmark evaluating LLMs' Instruction Following Capability
2026 · Association for Computational Linguistics 2026, Cao, Xuezhi, et al. · Underline Science Inc.
SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating Procedures
2026 · Association for Computational Linguistics 2026, Cao, Xuezhi, et al. · Underline Science Inc.
CoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks
2026 · Association for Computational Linguistics 2026, Cai, Xunliang, et al. · Underline Science Inc.
AMO-Bench: Large Language Models Still Struggle in High School Math Competitions
2026 · Association for Computational Linguistics 2026, An, Shengnan, et al. · Underline Science Inc.
Attribution-Based Analysis and Optimization of Modular Agentic Workflows
2026 · Association for Computational Linguistics 2026, Cai, Xunliang, et al. · Underline Science Inc.
ATLAS: All-round Testing of Long-context Abilities across Scales
2026 · Huang, Deli, Wang, Cunguang, et al. · arXiv (Cornell University)
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WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation
2026 · Ying, Kaining, Hu, Hengrui, et al. · arXiv (Cornell University)
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SWE-Cycle: Benchmarking Code Agents across the Complete Issue Resolution Cycle
2026 · Guan, Hao, Fu, Lingyue, et al. · arXiv (Cornell University)
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AgentEscapeBench: Evaluating Out-of-Domain Tool-Grounded Reasoning in LLM Agents
2026 · Guo, Zhengkang, Li, Yiyang, et al. · arXiv (Cornell University)
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General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging Tasks
2026 · Liu, Junlin, An, Shengnan, et al. · arXiv (Cornell University)
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LARY: A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment
2026 · Nie, Dujun, Chen, Fengjiao, et al. · arXiv (Cornell University)
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LongCat-Next: Lexicalizing Modalities as Discrete Tokens
2026 · Meituan LongCat Team, Xiao, Bin, et al. · arXiv (Cornell University)
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LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning
2026 · Wang, Jianing, Zhang, Jianfei, et al. · arXiv (Cornell University)
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AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations
2026 · Jiayang, Cheng, Ru, Dongyu, et al. · arXiv (Cornell University)
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LongCat-Flash-Thinking-2601 Technical Report
2026 · Meituan LongCat Team, Gui, Anchun, et al. · arXiv (Cornell University)
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TR-ICRL: Test-Time Rethinking for In-Context Reinforcement Learning
2026 · Wenxuan Jiang, Yuxin Zuo, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Asuka-Bench: Benchmarking Code Agents on Underspecified User Intent and Multi-Round Refinement
2026 · Xin Wang, Liangtai Sun, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks
2026 · Jingxuan Han, Wei Liu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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UniHetero: Could Generation Enhance Understanding for Vision-Language-Model at Large Data Scale?
2025 · Chen, Fengjiao, Jing, Minhao, et al. · arXiv (Cornell University)
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Works count: 26
Citation count: 1
H-index: 1
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