LLaMA-3-8B

Researchers introduce MeRLa (Meta-Learned Reward Shaping), a framework that meta-learns a task-aware shaping function for Reinforcement Learning from Human Feedback (RLHF) to improve alignment of larg…

Researchers introduced DWT-Fusion, a training-free signal-based framework for detecting LLM-generated text using discrete wavelet analysis of token-level log-probability sequences. The best single wav…

Researchers have developed a method to automatically generate research paper titles from abstracts using open-weight pre-trained and large language models, including fine-tuned PEGASUS-large and zero-…