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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.MM2026

RetroHolmes: When Semantic Plausibility Fails Retrospective Physical Process Reasoning

Ruoxuan Zhang, Qiyun Zheng, Siyu Wu +12

The paper presents RetroHolmes, a benchmark for testing vision‑language models on retrospective physical process reasoning—inferring hidden causes from image outcomes—and shows tha…

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

TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection

Jian-Yu Jiang-Lin, Kang-Yang Huang, Ling Zou +11

Advances in generative modeling have made it increasingly easy to fabricate realistic portrayals of individuals, creating serious risks for security, communication, and public trus…

cs.CV2025

PromptMoG: Enhancing Diversity in Long-Prompt Image Generation via Prompt Embedding Mixture-of-Gaussian Sampling

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

Recent advances in text-to-image (T2I) generation have achieved remarkable visual outcomes through large-scale rectified flow models. However, how these models behave under long pr…

cs.CV2025

From Prompt to Progression: Taming Video Diffusion Models for Seamless Attribute Transition

Ling Lo, Kelvin C. K. Chan, Wen-Huang Cheng +1

Existing models often struggle with complex temporal changes, particularly when generating videos with gradual attribute transitions. The most common prompt interpolation approach…

cs.IR2025

Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec

Yu-Hsuan Huang, Ling Lo, Hongxia Xie +2

Sequential recommendation (SR) systems predict user preferences by analyzing time-ordered interaction sequences. A common challenge for SR is data sparsity, as users typically inte…