Search Results for author: Lin Shi

Found 9 papers, 2 papers with code

Exploring and Evaluating Hallucinations in LLM-Powered Code Generation

no code implementations1 Apr 2024 Fang Liu, Yang Liu, Lin Shi, Houkun Huang, Ruifeng Wang, Zhen Yang, Li Zhang

The rise of Large Language Models (LLMs) has significantly advanced many applications on software engineering tasks, particularly in code generation.

Code Generation Hallucination +2

FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models

no code implementations12 Mar 2024 Yan Liu, Renren Jin, Lin Shi, Zheng Yao, Deyi Xiong

We conduct extensive experiments on a wide range of LLMs on FineMath and find that there is still considerable room for improvements in terms of mathematical reasoning capability of Chinese LLMs.

Math Mathematical Reasoning

A Survey on Query-based API Recommendation

no code implementations17 Dec 2023 Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Ming Zhen, Jiang

We also investigate the typical data extraction procedures and collection approaches employed by the existing approaches.

Curriculum Learning for Relative Overgeneralization

no code implementations6 Dec 2022 Lin Shi, Bei Peng

In multi-agent reinforcement learning (MARL), many popular methods, such as VDN and QMIX, are susceptible to a critical multi-agent pathology known as relative overgeneralization (RO), which arises when the optimal joint action's utility falls below that of a sub-optimal joint action in cooperative tasks.

Efficient Exploration Multi-agent Reinforcement Learning +3

Automatic Comment Generation via Multi-Pass Deliberation

1 code implementation14 Sep 2022 Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang

Then, we treat the comment of the retrieved code as the initial draft and input it with the code and keywords into DECOM to start the iterative deliberation process.

Comment Generation

VTLayout: Fusion of Visual and Text Features for Document Layout Analysis

no code implementations12 Aug 2021 Shoubin Li, Xuyan Ma, Shuaiqun Pan, Jun Hu, Lin Shi, Qing Wang

In the second stage, the deep visual, shallow visual, and text features are extracted for fusion to identify the category blocks of documents.

Document Layout Analysis

QC-SPHRAM: Quasi-conformal Spherical Harmonics Based Geometric Distortions on Hippocampal Surfaces for Early Detection of the Alzheimer's Disease

no code implementations20 Mar 2020 Anthony Hei-Long Chan, Yishan Luo, Lin Shi, Ronald Lok-Ming Lui

Using 110 NC subjects and 110 AD patients from the ADNI database, the proposed algorithm achieves 85:2% testing accuracy on 80 random samples as testing subjects, with the incorporation of surface geometry in the classification machine.

feature selection General Classification

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