activity
20242026
most citedBreaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks

1 citations · 1 across the 8 of their papers we have counts for

collaborators

10 papers

cs.AI2026

HalluPeer: A Taxonomy-driven Benchmark for Detecting Hallucinations in Scientific Peer Reviews

Tzu-Ling Lin, Dong-Ting Yao, Teng-Fang Hsiao +2

The growing scale of academic peer review has motivated the use of Large Language Models (LLMs) as review assistants, yet LLMs can generate fluent but unsupported claims that under…

cs.CV2026

RADIANCE: Relative Adaptive Denoising with IP-Adapter for Novel Concept Enhancement

Zi-Xiang Ni, Bo-Lun Huang, Teng-Fang Hsiao +2

Text-to-image (T2I) diffusion models have achieved striking progress but still struggle to synthesize rare concepts involving unusual attribute-object pairings, often resulting in…

cs.RO2026

Is the Future Compatible? Diagnosing Dynamic Consistency in World Action Models

Bo-Kai Ruan, Teng-Fang Hsiao, Ling Lo +1

World Action Models (WAMs) enable decision-making through imagined rollouts by predicting future observations and actions. However, the reliability of these imagined futures remain…

cs.CV2026

VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Single Image

Teng-Fang Hsiao, Bo-Kai Ruan, Yu-Lun Liu +1

3D editing has emerged as a critical research area to provide users with flexible control over 3D assets. While current editing approaches predominantly focus on 3D Gaussian Splatt…

cs.CV2025

Diversifying Long Prompt Image Generation through Structured Prompt Embedding Space Sampling

Bo-Kai Ruan, Teng-Fang Hsiao, Ling Lo +2

Modern text-to-image models produce impressive visual results from richly specified prompts, yet their behavior under long prompts remains insufficiently understood. In this paper,…

cs.CL2025★ 1 cited

Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks

Tzu-Ling Lin, Wei-Chih Chen, Teng-Fang Hsiao +7

Peer review is essential for maintaining academic quality, but the increasing volume of submissions places a significant burden on reviewers. Large language models (LLMs) offer pot…