Search Results for author: Xiao Xiao

Found 15 papers, 10 papers with code

IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation

1 code implementation27 Sep 2024 Fan Lin, Shuyi Xie, Yong Dai, Wenlin Yao, Tianjiao Lang, Zishan Xu, Zhichao Hu, Xiao Xiao, Yuhong Liu, Yu Zhang

To produce high-quality data, we incorporate a self-correct mechanism into our generalization framework, and develop two models to predict prompt discrimination and difficulty score to facilitate our data synthesis framework, contributing valuable tools to evaluation data synthesis research.

Specificity

ITERTL: An Iterative Framework for Fine-tuning LLMs for RTL Code Generation

no code implementations28 Jun 2024 Peiyang Wu, Nan Guo, Xiao Xiao, WenMing Li, Xiaochun Ye, Dongrui Fan

However, the existing approaches to fine-tune LLMs on RTL codes typically are conducted on fixed datasets, which do not fully stimulate the capability of LLMs and require large amounts of reference data.

Code Generation

Augmenting Biomedical Named Entity Recognition with General-domain Resources

1 code implementation15 Jun 2024 Yu Yin, Hyunjae Kim, Xiao Xiao, Chih Hsuan Wei, Jaewoo Kang, Zhiyong Lu, Hua Xu, Meng Fang, Qingyu Chen

Specifically, our models consistently outperformed the baseline models in six out of eight entity types, achieving an average improvement of 0. 9% over the best baseline performance across eight entities.

Language Modelling Multi-Task Learning +3

Android in the Zoo: Chain-of-Action-Thought for GUI Agents

1 code implementation5 Mar 2024 Jiwen Zhang, Jihao Wu, Yihua Teng, Minghui Liao, Nuo Xu, Xiao Xiao, Zhongyu Wei, Duyu Tang

To address this, this work presents Chain-of-Action-Thought (dubbed CoAT), which takes the description of the previous actions, the current screen, and more importantly the action thinking of what actions should be performed and the outcomes led by the chosen action.

Language Modeling Language Modelling +1

Mitigating Pooling Bias in E-commerce Search via False Negative Estimation

1 code implementation11 Nov 2023 Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma

Efficient and accurate product relevance assessment is critical for user experiences and business success.

BPNet: Bézier Primitive Segmentation on 3D Point Clouds

1 code implementation8 Jul 2023 Rao Fu, Cheng Wen, Qian Li, Xiao Xiao, Pierre Alliez

This paper proposes BPNet, a novel end-to-end deep learning framework to learn B\'ezier primitive segmentation on 3D point clouds.

Point Cloud Segmentation Segmentation

An Embedding-Based Grocery Search Model at Instacart

no code implementations12 Sep 2022 Yuqing Xie, Taesik Na, Xiao Xiao, Saurav Manchanda, Young Rao, Zhihong Xu, Guanghua Shu, Esther Vasiete, Tejaswi Tenneti, Haixun Wang

To train the model efficiently on noisy data, we propose a self-adversarial learning method and a cascade training method.

model

Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention

1 code implementation23 Apr 2022 Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora Salim

To address these issues, we construct new graph models to represent the contextual information of each node and the long-term spatio-temporal data dependency structure.

Graph Attention Graph Neural Network +1

Computational modelling and data-driven homogenisation of knitted membranes

no code implementations12 Jul 2021 Sumudu Herath, Xiao Xiao, Fehmi Cirak

The trained GPR model encodes the nonlinearities and anisotropies present in the microscale and serves as a material model for the membrane response of the macroscale shell.

GPR

Unknown-box Approximation to Improve Optical Character Recognition Performance

1 code implementation17 May 2021 Ayantha Randika, Nilanjan Ray, Xiao Xiao, Allegra Latimer

Unlike the previous OCR agnostic preprocessing techniques, the proposed approach approximates the gradient of a particular OCR engine to train a preprocessor module.

Optical Character Recognition Optical Character Recognition (OCR)

MSDU-net: A Multi-Scale Dilated U-net for Blur Detection

no code implementations5 Jun 2020 Fan Yang, Xiao Xiao

Blur detection is the separation of blurred and clear regions of an image, which is an important and challenging task in computer vision.

Image Segmentation Segmentation +1

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