Explaining AI Without Code: A User Study on Explainable AI
arXiv:2602.11159v1 Announce Type: new Abstract: The increasing use of Machine Learning (ML) in sensitive domains such as healthcare, finance, and…
Chatting with Images for Introspective Visual Thinking
arXiv:2602.11073v2 Announce Type: replace-cross Abstract: Current large vision-language models (LVLMs) typically rely on text-only reasoning based on a single-pass visual…
TabSieve: Explicit In-Table Evidence Selection for Tabular Prediction
arXiv:2602.11700v1 Announce Type: cross Abstract: Tabular prediction can benefit from in-table rows as few-shot evidence, yet existing tabular models typically…
OMEGA-Avatar: One-shot Modeling of 360{deg} Gaussian Avatars
arXiv:2602.11693v1 Announce Type: cross Abstract: Creating high-fidelity, animatable 3D avatars from a single image remains a formidable challenge. We identified…
OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL
arXiv:2602.10687v2 Announce Type: replace-cross Abstract: Existing forgery detection methods are often limited to uni-modal or bi-modal settings, failing to handle…
A flaw in using pretrained protein language models in protein–protein interaction inference models
Nature Machine Intelligence, Published online: 13 February 2026; doi:10.1038/s42256-025-01176-7 The usage of pretrained protein language models (pLMs) is rapidly growing.…
Discovering Differences in Strategic Behavior Between Humans and LLMs
arXiv:2602.10324v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly deployed in social and strategic scenarios, it becomes…
Fake-HR1: Rethinking Reasoning of Vision Language Model for Synthetic Image Detection
arXiv:2602.10042v2 Announce Type: replace-cross Abstract: Recent studies have demonstrated that incorporating Chain-of-Thought (CoT) reasoning into the detection process can enhance…