paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
YL

Yi Liu

AAAI 2026×2ACL 2026可解释性推理对齐与偏好
新星分新星
68
一作贡献30
核心/参与17
方向广度9
合作网络6
1 一作 · 3 篇 · AAAI 2026 / ACL 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

3
作者位次 #2/6ACL 2026Findings· Findings of ACL

How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLM s for Quantitative Reasoning

Haoyang Chen · Yi Liu · Jianzhi Shao · Tao Zhang · Chengfu Huo · Wei Hu

摘要

Thinking LLMs produce reasoning traces before answering. Prior activation steering work mainly targets on shaping these traces. It remains less understood how answer tokens actually read and integrate the reasoning to produce reliable outcomes. Focusing on quantitative reasoning, we analyze the a...

可解释性推理对齐与偏好OpenReview 项目页
作者位次 #3/5AAAI 2026Poster· Artificial Intelligence

ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders

Xiangyu Liu · Haodi Lei · Yi Liu · Yang Liu · Wei Hu

可解释性OpenReview
一作AAAI 2026Poster· Artificial Intelligence

Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models

Yi Liu · Xiangyu Liu · Zequn Sun · Wei Hu

常见合作者