arXiv:2604.17543v1 Announce Type: new
Abstract: Large language models (LLMs) have achieved remarkable success in general-domain tasks, yet their direct application to the legal domain remains challenging due to hallucinated legal citations, incomplete…
arXiv:2511.08480v3 Announce Type: replace
Abstract: Multimodal Large Language Models advance multimodal representation learning by acquiring transferable semantic embeddings, thereby substantially enhancing performance across a range of vision-languag…
arXiv:2601.22149v2 Announce Type: replace
Abstract: The development of autonomous web agents, powered by Large Language Models (LLMs) and reinforcement learning (RL), represents a significant step towards general-purpose AI assistants. However, traini…
arXiv:2511.17171v4 Announce Type: replace
Abstract: Predicting wildfire risk is a reasoning-intensive spatial problem that requires the integration of visual, climatic, and geographic factors to infer continuous risk maps. Existing methods lack the ca…
arXiv:2602.10732v2 Announce Type: replace
Abstract: Multilingual benchmarks rarely test reasoning over culturally grounded premises: translated datasets keep English-centric scenarios, while culture-first datasets often lack control over the reasoning…
arXiv:2604.17021v1 Announce Type: new
Abstract: Video editing aims to modify input videos according to user intent. Recently, end-to-end training methods have garnered widespread attention, constructing paired video editing data through video generati…
arXiv:2512.04677v5 Announce Type: replace
Abstract: Audio-driven avatar interaction demands real-time, streaming, and infinite-length generation — capabilities fundamentally at odds with the sequential denoising and long-horizon drift of current diff…
arXiv:2604.17028v1 Announce Type: new
Abstract: Binge eating disorder (BED) is the most prevalent eating disorder. However, current diagnostic frameworks remain largely grounded in symptom-based criteria rather than underlying biological mechanisms, t…
arXiv:2601.05508v2 Announce Type: replace
Abstract: Hieroglyphs, as logographic writing systems, encode rich semantic and cultural information within their internal structural composition. Yet, current advanced Large Language Models (LLMs) and Multimo…
arXiv:2604.17030v1 Announce Type: new
Abstract: Neurobiological and neurodegenerative diseases are inherently multifactorial, arising from coupled influences spanning genetic susceptibility, brain alterations, and environmental and behavioral factors….