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Ziyi Ye

ACL 2026×2SIGIR 2026×2ICML 2026ICRA 2026社会与人本推理多模态评测与基准检索与知识
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0 一作 · 6 篇 · ACL 2026 / SIGIR 2026 / ICML 2026 / ICRA 2026

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2026 顶会论文

6
作者位次 #2/3ACL 2026Poster· Natural Language Processing

Language Reconstruction with Brain Predictive Coding from f MRI Data

Congchi Yin · Ziyi Ye · Piji Li

摘要

Many recent studies have shown that the perception of speech can be decoded from brain signals and subsequently reconstructed as continuous language. However, there is a lack of neurological basis for how the semantic information embedded within brain signals can be used more effectively to guide...

推理可解释性多模态OpenReview 项目页
作者位次 #4/11ACL 2026Findings· Findings of ACL

T win V oice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation

Bangde Du · Minghao Guo · Songming He · Ziyi Ye · Xi Zhu · Weihang Su · Shuqi Zhu · Yujia Zhou · Yongfeng Zhang · Qingyao Ai · Yiqun LIU

摘要

Large Language Models (LLMs) are exhibiting emergent human-like abilities and are envisioned as the tool for simulating an individual’s communication patterns, behaviors, and personality traits. However, current evaluations of LLM-based persona simulation remain limited: most rely on synthetic di...

社会与人本推理评测与基准OpenReview 项目页
作者位次 #7/8SIGIR 2026Poster· Information Retrieval (Resource)

SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation

Weihang Su · Anzhe Xie · Qingyao Ai · Jianming Long · Xuanyi Chen · Jiaxin Mao · Ziyi Ye · Yiqun LIU

摘要

The exponential growth of scientific literature has created a pressing need for automated survey generation. Although recent LLM-based agents have shown promise in automating this task, current progress is hindered by the lack of a standardized, scalable evaluation protocol. Existing evaluation m...

检索与知识评测与基准智能体与工具OpenReview
作者位次 #2/6SIGIR 2026Poster· Information Retrieval (Short)

Individual Turing Test: A Case Study of LLM-based Simulation Using Longitudinal Personal Data

Minghao Guo · Ziyi Ye · Wujiang Xu · Xi Zhu · Wenyue Hua · Dimitris N. Metaxas

摘要

Large Language Models (LLMs) have demonstrated remarkable human-like capabilities, yet their ability to replicate a specific individual remains underexplored. This paper presents a case study investigating LLM-based individual simulation using a volunteer-contributed archive of private messaging...

检索与知识社会与人本对齐与偏好OpenReview

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