2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.AI2023
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Yujia Qin, Shihao Liang, Yining Ye +16
Despite the advancements of open-source large language models (LLMs), e.g., LLaMA, they remain significantly limited in tool-use capabilities, i.e., using external tools (APIs) to…
cs.CL2023
Exploring Format Consistency for Instruction Tuning
Shihao Liang, Runchu Tian, Kunlun Zhu +6
Instruction tuning has emerged as a promising approach to enhancing large language models in following human instructions. It is shown that increasing the diversity and number of i…
cs.CL2022★ 2 cited
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts
Bohua Peng, Shihao Liang, Mobarakol Islam
Inductive knowledge graph completion requires models to comprehend the underlying semantics and logic patterns of relations. With the advance of pretrained language models, recent…