Search Results for author: Yuqi Zhu

Found 10 papers, 7 papers with code

Showing LLM-Generated Code Selectively Based on Confidence of LLMs

no code implementations4 Oct 2024 Jia Li, Yuqi Zhu, Yongmin Li, Ge Li, Zhi Jin

HonestCoder selectively shows the generated programs to developers based on LLMs' confidence.

Code Generation

RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment

no code implementations22 Aug 2024 Xiaohan Wang, Xiaoyan Yang, Yuqi Zhu, Yue Shen, Jian Wang, Peng Wei, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang

Large Language Models (LLMs) like GPT-4, MedPaLM-2, and Med-Gemini achieve performance competitively with human experts across various medical benchmarks.

Agent Planning with World Knowledge Model

1 code implementation23 May 2024 Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

Imitating humans' mental world knowledge model which provides global prior knowledge before the task and maintains local dynamic knowledge during the task, in this paper, we introduce parametric World Knowledge Model (WKM) to facilitate agent planning.

World Knowledge

KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents

1 code implementation5 Mar 2024 Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Ningyu Zhang, Shiwei Lyu, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen

Large Language Models (LLMs) have demonstrated great potential in complex reasoning tasks, yet they fall short when tackling more sophisticated challenges, especially when interacting with environments through generating executable actions.

Hallucination Self-Learning

DevEval: Evaluating Code Generation in Practical Software Projects

no code implementations12 Jan 2024 Jia Li, Ge Li, YunFei Zhao, Yongmin Li, Zhi Jin, Hao Zhu, Huanyu Liu, Kaibo Liu, Lecheng Wang, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yihong Dong, Yuqi Zhu, Bin Gu, Mengfei Yang

Compared to previous benchmarks, DevEval aligns to practical projects in multiple dimensions, e. g., real program distributions, sufficient dependencies, and enough-scale project contexts.

Code Generation

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models

1 code implementation6 Sep 2023 Yuqi Zhu, Ge Li, YunFei Zhao, Jia Li, Zhi Jin, Hong Mei

With an analysis of loss distributions of code tokens, we find that code tokens can be divided into two categories: challenging tokens that are difficult to predict and confident tokens that can be easily inferred.

Code Generation

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

1 code implementation22 May 2023 Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang

We engage in experiments across eight diverse datasets, focusing on four representative tasks encompassing entity and relation extraction, event extraction, link prediction, and question-answering, thereby thoroughly exploring LLMs' performance in the domain of construction and inference.

Event Extraction graph construction +4

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

2 code implementations2 May 2023 Xin Xu, Yuqi Zhu, Xiaohan Wang, Ningyu Zhang

Scaling language models have revolutionized widespread NLP tasks, yet little comprehensively explored few-shot relation extraction with large language models.

In-Context Learning Language Modelling +3

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively

1 code implementation3 Nov 2022 Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin

Large-scale pre-trained language models have achieved impressive results on a wide range of downstream tasks recently.

Language Modelling

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