Search Results for author: Honghao Gui

Found 7 papers, 6 papers with code

IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus

1 code implementation22 Feb 2024 Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen

Large Language Models (LLMs) demonstrate remarkable potential across various domains; however, they exhibit a significant performance gap in Information Extraction (IE).

Zero-shot Generalization

EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models

3 code implementations5 Feb 2024 Yixin Ou, Ningyu Zhang, Honghao Gui, Ziwen Xu, Shuofei Qiao, Yida Xue, Runnan Fang, Kangwei Liu, Lei LI, Zhen Bi, Guozhou Zheng, Huajun Chen

In recent years, instruction tuning has gained increasing attention and emerged as a crucial technique to enhance the capabilities of Large Language Models (LLMs).

Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction

no code implementations5 Dec 2023 Hongbin Ye, Honghao Gui, Aijia Zhang, Tong Liu, Weiqiang Jia

This paper introduces CooperKGC, a novel framework challenging the conventional solitary approach of large language models (LLMs) in knowledge graph construction (KGC).

Event Extraction graph construction +1

FactCHD: Benchmarking Fact-Conflicting Hallucination Detection

1 code implementation18 Oct 2023 Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lv, Dan Zhang, Huajun Chen

Despite their impressive generative capabilities, LLMs are hindered by fact-conflicting hallucinations in real-world applications.

Benchmarking Hallucination

Making Language Models Better Tool Learners with Execution Feedback

1 code implementation22 May 2023 Shuofei Qiao, Honghao Gui, Chengfei Lv, Qianghuai Jia, Huajun Chen, Ningyu Zhang

To meet this need, we propose Tool leaRning wIth exeCution fEedback (TRICE), a two-stage end-to-end framework that enables the model to continually learn through feedback derived from tool execution, thereby learning when and how to use tools effectively.

Language Modeling Language Modelling +2

InstructIE: A Bilingual Instruction-based Information Extraction Dataset

3 code implementations19 May 2023 Honghao Gui, Shuofei Qiao, Jintian Zhang, Hongbin Ye, Mengshu Sun, Lei Liang, Jeff Z. Pan, Huajun Chen, Ningyu Zhang

Experimental results demonstrate that large language models trained with InstructIE can not only obtain better IE capabilities but also enhance zero-shot performance compared with baselines.

Schema-adaptable Knowledge Graph Construction

1 code implementation15 May 2023 Hongbin Ye, Honghao Gui, Xin Xu, Xi Chen, Huajun Chen, Ningyu Zhang

This necessitates a system that can handle evolving schema automatically to extract information for KGC.

graph construction UIE

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