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

Naoto Yokoya

CVPR 2026×3ACL 2026×2AAAI 2026ICML 2026ICRA 2026多模态推理数据与预训练强化学习与后训练智能体与工具
新星分资深
34
一作贡献0
核心/参与16
方向广度19
合作网络12
0 一作 · 8 篇 · CVPR 2026 / ACL 2026 / AAAI 2026 / ICML 2026 / ICRA 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

8
作者位次 #26/29ICML 2026Poster· Deep Learning / Foundation Models

Proteo-R1: Reasoning Foundation Models for De Novo Protein Design

Fang Wu · Weihao Xuan · Heli Qi · Hanqun CAO · Heng-Jui Chang · Zeqi Zhou · Li Erran Li · Haokai Zhao · Jian Ma · Zijian Ma · Yu-Chi Cheng · Kuan Pang · Robert Tang · Zehong Wang · Guanlue Li · Hanchen Wang · Kejun Ying · Pan Lu · Chiho Im · Seungju Han · Peng Xia · Tinson Xu · Yinxi Li · Deyao Zhu · Pheng Ann Heng · Naoto Yokoya · Masashi Sugiyama · Jure Leskovec · Yejin Choi

作者位次 #3/3CVPR 2026Poster· Computer Vision & Pattern Recognition

MD2E: Modeling Depth-to-Edge Cues for Monocular Metric Depth Estimation

Chao Ning · Minghe Shen · Naoto Yokoya

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

The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents

Weihao Xuan · Qingcheng Zeng · Heli Qi · Yunze Xiao · Junjue Wang · Naoto Yokoya

摘要

Autonomous agents based on large language models (LLMs) are rapidly evolving to handle multi-turn tasks, but ensuring their trustworthiness remains a critical challenge. A fundamental pillar of this trustworthiness is calibration, which refers to an agent’s ability to express confidence that reli...

强化学习与后训练推理智能体与工具OpenReview 项目页
作者位次 #9/9ACL 2026Findings· Findings of ACL

Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers

Qingcheng Zeng · Yuheng Lu · Zeqi Zhou · Heli Qi · Puxuan Yu · Fuheng Zhao · Hitomi Yanaka · Weihao Xuan · Naoto Yokoya

摘要

Code-switching is a pervasive linguistic phenomenon in global communication, yet modern information retrieval systems remain predominantly designed for, and evaluated within, monolingual contexts. To bridge this critical disconnect, we present a holistic study dedicated to code-switching IR. We i...

评测与基准多语言与语言学数据与预训练OpenReview 项目页

常见合作者