AI
MLREF: Efficient Module Reuse for Reward Design in Reinforcement Learning via Large Language Models
Researchers propose a new framework for designing reward functions in reinforcement learning called ...
AI
Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale Datasets
Researchers have proposed a new method for data augmentation called Learning-State-Aware Dynamic Gen...
AI
SMTrap: Cost-Effective DoS Attacks Against Large Reasoning Models via SMT Conflict Guidance
Researchers have developed a new method for launching denial-of-service (DoS) attacks against large ...
AI
Test-Time Scaling in the Wild: Why Exploitation, Not Exploration, Is the Bottleneck
Researchers have tested five different techniques for improving language model outputs at test time,...
AI
SkillForge: Self-Distilling Agents for Project-Specific Issue Resolution
Researchers propose a new framework called SkillForge to help large language mod...
AI
Graphical Design of Interpretable Architectures
Researchers have developed a graphical notation system for designing interpretab...
AI
MedUAG: Unified Understanding and Generation for Medical Multimodal Models
Researchers have developed a unified medical model called MedUAG that can unders...
AI
Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis
Researchers have developed a new approach to training large language models for ...