Noticias
Pose-Based Sign Language Appearance Transfer
arXiv:2410.13675v2 Announce Type: replace-cross Abstract: We introduce a method for transferring the signer’s appearance in...
Political Leaning and Politicalness Classification of Texts
arXiv:2507.13913v1 Announce Type: new Abstract: This paper addresses the challenge of automatically classifying text according...
PoE-World + Planner Outperforms Reinforcement Learning RL Baselines in Montezuma’s Revenge with Minimal Demonstration Data
The Importance of Symbolic Reasoning in World Modeling Understanding how the world works is key...
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
arXiv:2507.07495v1 Announce Type: new Abstract: Recently, decomposing complex problems into simple subtasks–a crucial part of...
Phonetic accommodation and inhibition in a dynamic neural field model
arXiv:2502.01210v2 Announce Type: replace Abstract: Short-term phonetic accommodation is a fundamental driver behind accent change...
Phonely’s new AI agents hit 99% accuracy—and customers can’t tell they’re not human
Phonely, Maitai and Groq achieve breakthrough in AI phone support with sub-second response times and...
Pensieve Grader: An AI-Powered, Ready-to-Use Platform for Effortless Handwritten STEM Grading
arXiv:2507.01431v1 Announce Type: cross Abstract: Grading handwritten, open-ended responses remains a major bottleneck in large...
Partitioner Guided Modal Learning Framework
arXiv:2507.11661v1 Announce Type: new Abstract: Multimodal learning benefits from multiple modal information, and each learned...
PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier
arXiv:2506.10406v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated impressive capabilities in complex...
P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts
arXiv:2406.12548v3 Announce Type: replace Abstract: Personalized large language models (LLMs) have attracted great attention in...
Optimizing Length Compression in Large Reasoning Models
arXiv:2506.14755v1 Announce Type: cross Abstract: Large Reasoning Models (LRMs) have achieved remarkable success, yet they...
Optimizing Assembly Code with LLMs: Reinforcement Learning Outperforms Traditional Compilers
LLMs have shown impressive capabilities across various programming tasks, yet their potential for program optimization...
