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Author

Jiri Gesi

Observed name: Gesi, Jiri
ORCID: 0000-0002-1188-2921
Observed ORCID: 0000-0002-1188-2921
OpenAlex ID: A5006496692
UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design
2025 · Yuxuan Lu, Bingsheng Yao, et al. · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · 28
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An Empirical Examination of the Impact of Bias on Just-in-time Defect Prediction
2021 · Jiri Gesi, Jiawei Li, et al. · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · 16
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Code Smells in Machine Learning Systems
2022 · Gesi, Jiri, Liu, Siqi, et al. · arXiv (Cornell University) · 13
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Evaluating and Improving Static Analysis Tools Via Differential Mutation Analysis
2021 · Alex Groce, Iftekhar Ahmed, et al. · IEEE International Conference on Software Quality, Reliability and Security (QRS) · 12
Leveraging Feature Bias for Scalable Misprediction Explanation of Machine Learning Models
2023 · Jiri Gesi, Xinyun Shen, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 9
SEA4DQ 2024 Workshop Summary
2024 · Tim Menzies, Bowen Xu, et al. · ACM SIGSOFT Software Engineering Notes · 2
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Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation
2026 · Jiaju Chen, Yuxuan Lu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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On-Policy Self-Distillation for Efficient Diffusion Language Models with Early-Stage Calibration
2026 · Huaisheng Zhu, MingYu Liu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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LLM Agent Meets Agentic AI: Can LLM Agents Simulate Customers to Evaluate Agentic-AI-based Shopping Assistants?
2025 · Sun, Lu, Fu, Shihan, et al. · arXiv (Cornell University) · 1
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Towards Robustness Analysis of E-Commerce Ranking System
2024 · Ningfei Wang, Yupin Huang, et al. · International World Wide Web Conference (WWW) · 1
SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents
2026 · Wang, Ziyi, Lu, Yuxuan, et al. · arXiv (Cornell University)
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Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation
2026 · Association for Computational Linguistics 2026, Chen, Jiaju, et al. · Underline Science Inc.
OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation
2026 · Association for Computational Linguistics 2026, Alikhani, Malihe, et al. · Underline Science Inc.
Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
2026 · Association for Computational Linguistics 2026, Chen, Pei, et al. · Underline Science Inc.
Latent Action Reparameterization for Efficient Agent Inference
2026 · Huang, Wenhao, Zeng, Qingwen, et al. · arXiv (Cornell University)
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Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs
2026 · Lu, Yuxuan, Wang, Ziyi, et al. · arXiv (Cornell University)
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Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
2026 · Wang, Ziyi, Lu, Yuxuan, et al. · arXiv (Cornell University)
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OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation
2026 · Ziyi Wang, Yuxuan Lu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
2026 · Ziyi Wang, Yuxuan Lu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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See, Think, Act: Online Shopper Behavior Simulation with VLM Agents
2025 · Zhang, Yimeng, Gesi, Jiri, et al. · arXiv (Cornell University)
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WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale
2025 · Lu, Yuxuan, Wang, Ziyi, et al. · arXiv (Cornell University)
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SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs
2025 · Lin, Jiacheng, Wang, Zhongruo, et al. · arXiv (Cornell University)
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Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning
2025 · Zhang, Yimeng, Wang, Tian, et al. · arXiv (Cornell University)
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Does the Order of Fine-tuning Matter and Why?
2024 · Chen, Qihong, Li, Jiawei, et al. · arXiv (Cornell University)
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Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance
2024 · Gesi, Jiri, Ahmed, Iftekhar · arXiv (Cornell University)
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Works count: 30
Citation count: 86
H-index: 5
I10-index: 4
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