Papers3

#data synthesis pipeline

How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities

Large language models can act unpredictably in sensitive places like schools, hospitals, and customer support, so we need reliable ways to guide how they talk and behave.

#LLM controllability#behavioral granularity#hierarchical evaluation

Not triaged yet

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

Intermediate

Weinan Dai, Hanlin Wu et al.Feb 27arXiv

CUDA Agent is a training system that teaches an AI to write super-fast GPU code (CUDA kernels) by practicing, testing, and getting rewards for correct and speedy results.

#CUDA kernel generation#agentic reinforcement learning#PPO actor-critic

Not triaged yet

Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization

Intermediate

Qianben Chen, Tianrui Qin et al.Feb 26arXiv

This paper shows that letting an AI search many places at the same time (in parallel) can beat making it think in long, slow chains.

#agentic search#parallel evidence acquisition#plan refinement

Not triaged yet