Reasoning Pattern Matters: Learning to Reason without Human Rationales
arXiv:2510.12643v1 Announce Type: cross Abstract: Large Language Models (LLMs) have demonstrated remarkable reasoning capabilities under the widely adopted SFT+RLVR paradigm,…
Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
arXiv:2510.11683v2 Announce Type: replace-cross Abstract: A key challenge in applying reinforcement learning (RL) to diffusion large language models (dLLMs) lies…
AI Agents for the Dhumbal Card Game: A Comparative Study
arXiv:2510.11736v1 Announce Type: new Abstract: This study evaluates Artificial Intelligence (AI) agents for Dhumbal, a culturally significant multiplayer card game…
ChoirRec: Semantic User Grouping via LLMs for Conversion Rate Prediction of Low-Activity Users
arXiv:2510.09393v2 Announce Type: replace-cross Abstract: Accurately predicting conversion rates (CVR) for low-activity users remains a fundamental challenge in large-scale e-commerce…
PhysioME: A Robust Multimodal Self-Supervised Framework for Physiological Signals with Missing Modalities
arXiv:2510.11110v1 Announce Type: cross Abstract: Missing or corrupted modalities are common in physiological signal-based medical applications owing to hardware constraints…
video-SALMONN S: Streaming Audio-Visual LLMs Beyond Length Limits via Memory
arXiv:2510.11129v1 Announce Type: cross Abstract: Continuous, high-frame-rate, high-resolution processing of long video streams is critical for future AI agents, yet…
SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models
arXiv:2510.09541v2 Announce Type: replace-cross Abstract: Diffusion large language models (dLLMs) are emerging as an efficient alternative to autoregressive models due…
The Geometry of Reasoning: Flowing Logics in Representation Space
arXiv:2510.09782v1 Announce Type: new Abstract: We study how large language models (LLMs) “think” through their representation space. We propose a…
Learning Neural Exposure Fields for View Synthesis
arXiv:2510.08279v2 Announce Type: replace-cross Abstract: Recent advances in neural scene representations have led to unprecedented quality in 3D reconstruction and…
CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts
arXiv:2510.09278v1 Announce Type: cross Abstract: Training expert LLMs in domains with scarce data is difficult, often relying on multiple-choice questions…