1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 1 cited
A Controlled Study on Long Context Extension and Generalization in LLMs
Yi Lu, Jing Nathan Yan, Songlin Yang +6
Broad textual understanding and in-context learning require language models that utilize full document contexts. Due to the implementation challenges associated with directly train…
cs.CL2023★ 1 cited
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models
Fangzhi Xu, Zhiyong Wu, Qiushi Sun +6
Although Large Language Models (LLMs) demonstrate remarkable ability in processing and generating human-like text, they do have limitations when it comes to comprehending and expre…