Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
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…
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…
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,…
Aixel: A Unified, Adaptive and Extensible System for AI-powered Data Analysis
arXiv:2510.12642v1 Announce Type: cross Abstract: A growing trend in modern data analysis is the integration of data management with learning,…
AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model
arXiv:2510.11496v2 Announce Type: replace-cross Abstract: In recent years, while cloud-based MLLMs such as QwenVL, InternVL, GPT-4o, Gemini, and Claude Sonnet…
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…
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…
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…
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…
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…