paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达

更新于

返回新星榜

TL

Ting Liu

ICML 2026×4智能体与工具评测与基准理论与学习动力学强化学习与后训练

新星分资深

13

一作贡献0

核心/参与0

方向广度8

合作网络6

0 一作 · 4 篇 · ICML 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

4

作者位次 #5/5ICML 2026Poster· Deep Learning / Large Language Models

Gradients with Respect to Semantics Preserving Embeddings Tell the Uncertainty of Large Language Model

Mingda Li · Rundong Lv · Xinyu Li · Weinan Zhang · Ting Liu

作者位次 #8/8ICML 2026Poster

Large Language Model Agents Are Not Always Faithful Self-Evolvers

Weixiang Zhao · Yingshuo Wang · Yichen Zhang · Yang Deng · Yanyan Zhao · Wanxiang Che · Bing Qin · Ting Liu

智能体与工具OpenReview

作者位次 #8/8ICML 2026Poster· Deep Learning / Large Language Models

Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection

Haochun Wang · Chaofen Yang · Jiatong Liu · Jingbo Wang · Zewen Qiang · Sendong Zhao · Bing Qin · Ting Liu

评测与基准理论与学习动力学OpenReview

作者位次 #6/6ICML 2026Poster· Deep Learning / Large Language Models

MRPO: Magnitude-Regularized Policy Optimization via L1 Constraints

Wei Han · Yuanxing Liu · Mingda Li · Ruiyu Xiao · Weinan Zhang · Ting Liu

强化学习与后训练OpenReview

常见合作者

MLMingda Li×2 WZWeinan Zhang×2 BQBing Qin×2 RLRundong Lv XLXinyu Li WZWeixiang Zhao YWYingshuo Wang YZYichen Zhang YDYang Deng YZYanyan Zhao WCWanxiang Che HWHaochun Wang