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Jiaxin Pei

Observed name: Pei, Jiaxin
OpenAlex ID: A5116462456
How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks
2026 · Bai, Longju, Huang, Zhemin, et al. · arXiv (Cornell University) · 3
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The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets
2025 · Shenzhe Zhu, Jiao Sun, et al. · Natural Legal Language Processing Workshop (NLLP) · 2
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BAGEN: Are LLM Agents Budget-Aware?
2026 · Lin, Yuxiang, Wang, Zihan, et al. · arXiv (Cornell University) · 1
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Memory-Aware Reward Modeling: Learning Human Preferences for LLM Memory Use
2026 · Dong, Yijiang River, He, Zexue, et al. · arXiv (Cornell University)
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SWE-VERIFIER: Selective Verification for Cost-Efficient Coding Agents
2026 · Zou, Kaijian, Chennareddy, Vaibhav, et al. · arXiv (Cornell University)
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Realtime-Bench: Can Frontier Models Solve Real-time Interactive Problems?
2026 · Tang, Jingyu, Yang, Xu, et al. · arXiv (Cornell University)
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AI Should Facilitate Democratic Deliberation at Scale
2026 · Enríquez, José Ramón, Pei, Jiaxin, et al. · arXiv (Cornell University)
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AISPA: User-Centric System Prompt Auditing for Large Language Model Applications
2026 · Lin, Xiangning, Zhu, Shenzhe, et al. · arXiv (Cornell University)
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Humanly: A Configurable and Traceable Environment for Human-AI Collaborative Writing
2026 · Zhu, Shenzhe, Zhang, Haoqian, et al. · arXiv (Cornell University)
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Interactive Task Alignment as a POMDP
2026 · Dai, Andy, He, Zexue, et al. · arXiv (Cornell University)
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ProACT: Towards Breakdown-Aware Proactive Agent in Multi-User Collaboration
2026 · Yang, Shu, Xu, Difei, et al. · arXiv (Cornell University)
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Interactive Evaluation Requires a Design Science
2026 · Xuan, Keyang, Song, Peiyang, et al. · arXiv (Cornell University)
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The Last Human-Written Paper: Agent-Native Research Artifacts
2026 · Liu, Jiachen, Pei, Jiaxin, et al. · arXiv (Cornell University)
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Quantifying Trust: Financial Risk Management for Trustworthy AI Agents
2026 · Hua, Wenyue, Peng, Tianyi, et al. · arXiv (Cornell University)
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Multi-User Large Language Model Agents
2026 · Yang, Shu, Zhu, Shenzhe, et al. · arXiv (Cornell University)
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CooperBench: Why Coding Agents Cannot be Your Teammates Yet
2026 · Khatua, Arpandeep, Zhu, Hao, et al. · arXiv (Cornell University)
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SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent
2026 · Yikai Zhang, Jiaxin Pei, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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ChainSWE: Benchmarking Coding Agents on Multi-Bug Software Maintenance
2026 · Qirui Jin, Lingching Tung, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Permission Manifests for Web Agents
2025 · Marro, Samuele, Chan, Alan, et al. · arXiv (Cornell University)
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Benchmarking Overton Pluralism in LLMs
2025 · Poole-Dayan, Elinor, Wu, Jiayi, et al. · arXiv (Cornell University)
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The Automated but Risky Game: Modeling and Benchmarking Agent-to-Agent Negotiations and Transactions in Consumer Markets
2025 · Zhu, Shenzhe, Sun, Jiao, et al. · arXiv (Cornell University)
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Evaluating the impact of AI-powered reasoning in deliberative processes
2025 · José Ramón Enríquez, Alia Braley, et al. · AEA Randomized Controlled Trials
Evaluating the impact of AI-powered reasoning in deliberative processes
2025 · José Ramón Enríquez, Alia Braley, et al. · AEA Randomized Controlled Trials
Evaluating the impact of AI-powered reasoning in deliberative processes
2025 · José Ramón Enríquez, Alia Braley, et al. · AEA Randomized Controlled Trials
ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents
2025 · Zhenyu Zhang, Tianyi Chen, et al. · neural information processing systems
Works count: 26
Citation count: 6
H-index: 2
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