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Ziyi Wang

ACL 2026×2ICLR 2026社会与人本强化学习与后训练评测与基准推理智能体与工具
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2 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
一作ACL 2026Poster· Natural Language Processing

OP e RA : A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLM s on Human Online Shopping Behavior Simulation

Ziyi Wang · Yuxuan Lu · Wenbo Li · Amirali Amini · Bo Sun · Yakov Bart · Weimin Lyu · Jiri Gesi · Tian Wang · Jing Huang · Yu Su · Upol Ehsan · Malihe Alikhani · Toby Jia-Jun Li · Lydia B. Chilton · Dakuo Wang

摘要

Can Large Language models (LLMs) accurately simulate the next web action of a specific user? While LLMs have shown promising capabilities in generating believable human behaviors, evaluating their ability to mimic real user behaviors remains an open challenge, largely due to the lack of high-qual...

评测与基准社会与人本推理OpenReview 项目页
一作ACL 2026Poster· Natural Language Processing

T rajectory2 T ask: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents

Ziyi Wang · Yuxuan Lu · Yimeng Zhang · Pei Chen · Ziwei Dong · Jing Huang · Jiri Gesi · Xianfeng Tang · Chen Luo · Qun Liu · Yisi Sang · Hanqing Lu · Manling Li · Jin Lai · Dakuo Wang

摘要

Tool-calling agents are increasingly deployed in real-world customer-facing workflows. Yet most studies on tool-calling agents focus on idealized settings with general, fixed, and well-specified tasks.In real-world applications, user requests are often (1) ambiguous, (2) changing over time, or (3...

智能体与工具评测与基准强化学习与后训练OpenReview 项目页

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