most citedToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

72 citations · 110 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023★ 72 cited

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.CL2023★ 3 cited

WebCPM: Interactive Web Search for Chinese Long-form Question Answering

Yujia Qin, Zihan Cai, Dian Jin +12

Long-form question answering (LFQA) aims at answering complex, open-ended questions with detailed, paragraph-length responses. The de facto paradigm of LFQA necessitates two proced…

cs.CL2023★ 33 cited

Tool Learning with Foundation Models

Yujia Qin, Shengding Hu, Yankai Lin +38

Humans possess an extraordinary ability to create and utilize tools, allowing them to overcome physical limitations and explore new frontiers. With the advent of foundation models,…

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…