Search Results for author: Xiaoyan Yang

Found 15 papers, 4 papers with code

Unified Hallucination Detection for Multimodal Large Language Models

1 code implementation5 Feb 2024 Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang, Qiang Li, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen

Despite significant strides in multimodal tasks, Multimodal Large Language Models (MLLMs) are plagued by the critical issue of hallucination.


RJUA-QA: A Comprehensive QA Dataset for Urology

1 code implementation15 Dec 2023 Shiwei Lyu, Chenfei Chi, Hongbo Cai, Lei Shi, Xiaoyan Yang, Lei Liu, Xiang Chen, Deng Zhao, Zhiqiang Zhang, Xianguo Lyu, Ming Zhang, Fangzhou Li, Xiaowei Ma, Yue Shen, Jinjie Gu, Wei Xue, Yiran Huang

We introduce RJUA-QA, a novel medical dataset for question answering (QA) and reasoning with clinical evidence, contributing to bridge the gap between general large language models (LLMs) and medical-specific LLM applications.

Question Answering

From Beginner to Expert: Modeling Medical Knowledge into General LLMs

no code implementations2 Dec 2023 Qiang Li, Xiaoyan Yang, Haowen Wang, Qin Wang, Lei Liu, Junjie Wang, Yang Zhang, Mingyuan Chu, Sen Hu, Yicheng Chen, Yue Shen, Cong Fan, Wangshu Zhang, Teng Xu, Jinjie Gu, Jing Zheng, Guannan Zhang Ant Group

(3) Specifically for multi-choice questions in the medical domain, we propose a novel Verification-of-Choice approach for prompting engineering, which significantly enhances the reasoning ability of LLMs.

Language Modelling Large Language Model +3

Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory

no code implementations15 Nov 2023 Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang

Memory-augmented Large Language Models (LLMs) have demonstrated remarkable performance in long-term human-machine interactions, which basically relies on iterative recalling and reasoning of history to generate high-quality responses.

Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images

no code implementations15 Nov 2023 Zhaocong liu, Fa Zhang, Lin Cheng, Huanxi Deng, Xiaoyan Yang, Zhenyu Zhang, ChiChun Zhou

Addressing this, an unsupervised classification method with three key ideas is introduced: 1) dual-step feature dimensionality reduction using a pre-trained model and manifold learning, 2) a voting mechanism from multiple clustering algorithms, and 3) post-hoc instead of prior manual annotation.

Classification Dimensionality Reduction +1

AdaptMVSNet: Efficient Multi-View Stereo with adaptive convolution and attention fusion

1 code implementation journal 2023 Pengfei Jiang, Xiaoyan Yang, Yuanjie Chen, Wenjie Song, Yang Li

To this end, adaptive convolution is introduced to significantly improve the efficiency in speed and metrics compared to current methods.

Who Would be Interested in Services? An Entity Graph Learning System for User Targeting

no code implementations30 May 2023 Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang

At the online stage, the system offers the ability of user targeting in real-time based on the entity graph from the offline stage.

graph construction Graph Learning

Time Series Domain Adaptation via Sparse Associative Structure Alignment

no code implementations22 Dec 2020 Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang

To reduce the difficulty in the discovery of causal structure, we relax it to the sparse associative structure and propose a novel sparse associative structure alignment model for domain adaptation.

Domain Adaptation Time Series +1

Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems

no code implementations13 Oct 2019 Zijian Li, Ruichu Cai, Kok Soon Chai, Hong Wei Ng, Hoang Dung Vu, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang

However, the mainstream domain adaptation methods cannot achieve ideal performance on time series data, because most of them focus on static samples and even the existing time series domain adaptation methods ignore the properties of time series data, such as temporal causal mechanism.

Domain Adaptation Fault Detection +2

Data Driven Chiller Plant Energy Optimization with Domain Knowledge

no code implementations3 Dec 2018 Hoang Dung Vu, Kok Soon Chai, Bryan Keating, Nurislam Tursynbek, Boyan Xu, Kaige Yang, Xiaoyan Yang, Zhenjie Zhang

Refrigeration and chiller optimization is an important and well studied topic in mechanical engineering, mostly taking advantage of physical models, designed on top of over-simplified assumptions, over the equipments.

BIG-bench Machine Learning

An Encoder-Decoder Framework Translating Natural Language to Database Queries

no code implementations16 Nov 2017 Ruichu Cai, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang, Zijian Li, Zhihao Liang

These techniques help the neural network better focus on understanding semantics of operations in natural language and save the efforts on SQL grammar learning.

Decoder Machine Translation +3

Selective Annotation of Sentence Parts: Identification of Relevant Sub-sentential Units

no code implementations WS 2016 Ge Xu, Xiaoyan Yang, Chu-Ren Huang

Many NLP tasks involve sentence-level annotation yet the relevant information is not encoded at sentence level but at some relevant parts of the sentence.

Binary Classification Opinion Mining +1

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