This research provides a theoretical breakthrough in prefix-tuning, a parameter-efficient …
This research investigates the use of large language models (LLMs) and sparse autoencoders…
arXiv introduces OR-License, a novel benchmark for evaluating the performance of Large Lan…
A new arXiv study investigates the decision-making mechanisms of Large Language Model (LLM…
Huvyuan-MT-7B is an open-weight translation model designed as an alternative to GPT-4 for …
arXiv introduces PARADE, a novel framework for simulating heterogeneous response distribut…
arXiv introduces a novel approach for automated theorem proving that leverages a bounded, …
This research investigates how to combine individual behavioral histories using Large Lang…
arXiv introduces miniTE, a lightweight framework designed to address the execution consist…
arXiv has announced a novel research method that separates conformal reliability from freq…
SAGE-CP is a novel adaptive Vision-Language Model (VLM) ensemble pipeline designed to addr…