Search Results for author:
Found 2 papers, 2 papers with code
Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging
The rapid advancement of large language models has given rise to a plethora of applications across a myriad of real-world tasks, mainly centered on aligning with human intent.
G-SPEED: General SParse Efficient Editing MoDel
Large Language Models~(LLMs) have demonstrated incredible capabilities in understanding, generating, and manipulating languages.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
