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

Jiahuan Zhang

ACL 2026×2AAAI 2026CVPR 2026推理多模态评测与基准智能体与工具
新星分新星
79
一作贡献30
核心/参与29
方向广度14
合作网络12
1 一作 · 4 篇 · ACL 2026 / AAAI 2026 / CVPR 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
一作ACL 2026Poster· Natural Language Processing

Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models

Jiahuan Zhang · Shunwen Bai · Tianheng Wang · KaiWen Guo · Zijia Song · Hanqing WU · Guozheng Rao · Kai Han · Kaicheng Yu

摘要

Humans naturally possess the spatial reasoning ability to form and manipulate images and structures of objects in space. There is an increasing effort to endow Vision-Language Models (VLMs) with similar spatial reasoning capabilities. However, it remains unclear whether these models truly underst...

多模态评测与基准推理OpenReview 项目页
作者位次 #2/9ACL 2026Poster· Natural Language Processing

One Cognitive Loop Is Enough: SODA unlocks Pure-Text Spatial Reasoning in Large Language Models

Shunwen Bai · Jiahuan Zhang · Haoran Huang · Yurun Wang · Jiale Liu · Yanxi Wu · Ningzhe Yu · Yudong Gao · Mingjun Cheng

摘要

Currently, large language models (LLMs) have significant limitations in spatial reasoning, particularly in the absence of visual input. To address this issue, we introduce SODA (Spatial OODA), which draws inspiration from the OODA cognitive loop (Observe, Orient, Decide, Act), originally designed...

评测与基准推理多模态OpenReview 项目页

常见合作者