Notizie
Retail Resurrection: David’s Bridal bets its future on AI after double bankruptcy
How AI-driven personalization, knowledge graphs and a two-sided marketplace are creating a new business model...
Restoring Exploration after Post-Training: Latent Exploration Decoding for Large Reasoning Models
arXiv:2602.01698v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) have recently achieved strong mathematical and...
REST: A Stress-Testing Framework for Evaluating Multi-Problem Reasoning in Large Reasoning Models
Large Reasoning Models (LRMs) have rapidly advanced, exhibiting impressive performance in complex problem-solving tasks across...
Response-Level Rewards Are All You Need for Online Reinforcement Learning in LLMs: A Mathematical Perspective
arXiv:2506.02553v1 Announce Type: cross Abstract: We study a common challenge in reinforcement learning for large...
Resolving Conflicts in Lifelong Learning via Aligning Updates in Subspaces
arXiv:2512.08960v1 Announce Type: cross Abstract: Low-Rank Adaptation (LoRA) enables efficient Continual Learning but often suffers...
Researchers from the National University of Singapore Introduce ‘Thinkless,’ an Adaptive Framework that Reduces Unnecessary Reasoning by up to 90% Using DeGRPO
The effectiveness of language models relies on their ability to simulate human-like step-by-step deduction. However...
Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear Dynamics Pretrained on 20,000 Chaotic ODE Discovered via Evolutionary Search
Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions...
Research on the Integration of Embodied Intelligence and Reinforcement Learning in Textual Domains
arXiv:2510.01076v1 Announce Type: new Abstract: This article addresses embodied intelligence and reinforcement learning integration in...
Research on Multi-hop Inference Optimization of LLM Based on MQUAKE Framework
arXiv:2509.04770v1 Announce Type: new Abstract: Accurately answering complex questions has consistently been a significant challenge...
Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing
arXiv:2506.07086v1 Announce Type: new Abstract: Multi-modal affective computing aims to automatically recognize and interpret human...
Repositioning retail for the AI era
Artificial intelligence is rapidly reshaping retail, but not in the ways consumers might immediately notice...
RePo: Language Models with Context Re-Positioning
arXiv:2512.14391v1 Announce Type: cross Abstract: In-context learning is fundamental to modern Large Language Models (LLMs);...
