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Yang Zhang

6 papers indexed

arxivcs.CV2026-07-23

Do Pathology Vision-Language Models Truly See Pathology?

Chengyang Zhang, Wenchuan Zhang, Bo Li, Xinyu Liu, Jiaming Yang, Mengran Li, et al.

Pathology vision-language models (VLMs) have recently progressed rapidly and are commonly evaluated by answer accuracy on pathology VQA benchmarks. However, we dig into current evaluations and identify three overlooked issues: 1) Visual evidence is not always necessary. For insta…

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arxivcs.ROcs.CV2026-07-22

KineBench: Benchmarking Embodied World Models via IDM-Free Kinematic Grounding

Zeyu Liu, Zhangzhe Zhu, Yang Zhang, Chenyou Fan, Chenjia Bai, Xuelong Li

Evaluating the physical consistency of embodied world models(EWMs) is a critical open challenge. While closed-loop evaluation via simulator rollouts offers a more faithful assessment of physical plausibility than open-loop alternatives, existing frameworks almost exclusively rely…

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arxivcs.HC2026-07-18

AlterAtlas: Shifting Travel Planning from AI Generation to Validation via Persona-Driven Simulations

William Huang, Ruofei Du, Yang Zhang

Travel planning requires balancing interacting goals and constraints across time and space. Current AI travel tools provide limited support for encoding these constraints and understanding how generated travel plans may fail users. We present AlterAtlas, an interactive travel pla…

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arxivcs.AI2026-07-07

Reliability-Aware LLM Alignment from Inconsistent Human Feedback

Jingyi Huang, Ruohan Zong, Yujun Feng, Liran Ma, Lanyu Shang, Yang Zhang

Reinforcement Learning from Human Feedback (RLHF) is critical for aligning Large Language Models (LLMs) with human preferences. However, its efficacy is often compromised by the inherent inconsistency and subjectivity of human annotations. Existing preference optimization framewo…

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arxivcs.CV2026-07-03

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling

Huazhong Zhang, Xiaowen Fu, Yang Zhang, Linlin Shen, Jinbao Wang

Open-World Object Detection (OWOD) requires detectors to identify previously unseen objects as unknown and incrementally incorporate them into the set of known categories, while preserving previously acquired knowledge. Existing frameworks rely heavily on exemplar replay to mitig…

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arxivcs.CYcs.AIcs.CVcs.HC2026-06-25

From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Community Dynamics on 4chan

Chi Cui, Yixin Wu, Yang Zhang

AI nudification uses generative models to create synthetic non-consensual sexually explicit imagery (SNEACI) of real individuals. Prior work has examined dedicated nudification platforms and model repositories, finding that most targets are female celebrities. However, the anonym…

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