HuggingFace
LEGO-RL: Harness-Native Reinforcement Learning for Coding Agents
Reinforcement learning for coding agents increasingly relies on long-running agent harnesses to manage tool integrati...
🤖 AI 前沿资讯
每天自动聚合 AI 领域最新动态
HuggingFace
The Problem Is the Problem: Towards Scalable Mathematical Discovery
AI systems are increasingly capable of contributing to mathematical research. In research practice, frontier-model re...
HuggingFace
FACET: Preserving Source Intent and Executable State in Terminal Task Synthesis
Training terminal agents requires scalable executable supervision, yet synthesizing high-quality terminal tasks remai...
arXiv
An Omitted Mode Is a Rare Rule: The Sampling-Verification Danger Law in Continuous Code World Models
In the Code World Model paradigm an LLM synthesizes an executable world model that a classical planner searches, and ...
arXiv
Towards Zero-Shot Task Transfer with Neurosymbolic World Models
State-of-the-art model-based reinforcement learning methods learn neural world models that allow policy improvement b...
arXiv
Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection
Online log anomaly detection is critical for maintaining the reliability of large-scale computing systems. Although r...
arXiv
Dual Co-Train: Cross-Dataset Ultrasound Tongue Segmentation Under Extreme Data Scarcity
Ultrasound tongue contour segmentation remains challenging under cross-dataset domain shift, where limited annotation...
arXiv
Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media
The rapid growth of social media has greatly influenced political discourse, highlighting the need to understand indi...
arXiv
Traceable Trust for action-ready artificial intelligence in bioscience
Artificial intelligence (AI) is becoming part of the working infrastructure of the biosciences. AI models can predict...
arXiv
Policy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL Agents
Combining large language models with reinforcement learning is increasingly explored, yet the theoretical status of L...
arXiv
Can Large Language Models Explain Flight Safety Events? A Prior-Guided Semantic LLM-based Approach
Improving flight safety with flight data requires not only accurate detection of risk events, but more importantly, c...
arXiv
Why GPT-Style Models Do Not Directly Transfer to Symbolic Music: Compression in the Wrong Coordinate System
GPT-style models achieve strong performance by representing language with finite vocabularies of reusable discrete to...