Search Results for author: Lin Qiu

Found 23 papers, 12 papers with code

Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus

1 code implementation22 Nov 2023 Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu

Large Language Models (LLMs) have gained significant popularity for their impressive performance across diverse fields.


Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations

no code implementations19 Jun 2023 Dongyu Ru, Lin Qiu, Xipeng Qiu, Yue Zhang, Zheng Zhang

Discourse analysis is an important task because it models intrinsic semantic structures between sentences in a document.

Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction

1 code implementation6 Jan 2023 Lin Qiu, Aminollah Khormali, Kai Liu

The integration of multi-modal data, such as pathological images and genomic data, is essential for understanding cancer heterogeneity and complexity for personalized treatments, as well as for enhancing survival predictions.

Survival Prediction

Does GPT-3 Demonstrate Psychopathy? Evaluating Large Language Models from a Psychological Perspective

no code implementations20 Dec 2022 Xingxuan Li, Yutong Li, Shafiq Joty, Linlin Liu, Fei Huang, Lin Qiu, Lidong Bing

On the basis of the findings, we recommended the application of more systematic and comprehensive psychological metrics to further evaluate and improve the safety of LLMs.

Probabilistic Model Incorporating Auxiliary Covariates to Control FDR

no code implementations6 Oct 2022 Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli

We incorporate auxiliary covariates among test-level covariates in a deep Black-Box framework controlling FDR (named as NeurT-FDR) which boosts statistical power and controls FDR for multiple-hypothesis testing.


MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources

1 code implementation15 Jul 2022 Haoran Yin, Meng Ge, Yanjie Fu, Gaoyan Zhang, Longbiao Wang, Lei Zhang, Lin Qiu, Jianwu Dang

These algorithms are usually achieved by mapping the multi-channel audio input to the single output (i. e. overall spatial pseudo-spectrum (SPS) of all sources), that is called MISO.

Variational Interpretable Learning from Multi-view Data

no code implementations28 Feb 2022 Lin Qiu, Lynn Lin, Vernon M. Chinchilli

We propose a deep interpretable variational canonical correlation analysis (DICCA) for multi-view learning.


Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection

1 code implementation24 Jul 2021 Zhenguang Liu, Peng Qian, Xiaoyang Wang, Yuan Zhuang, Lin Qiu, Xun Wang

Then, we propose a novel temporal message propagation network to extract the graph feature from the normalized graph, and combine the graph feature with designed expert patterns to yield a final detection system.

Vulnerability Detection

NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy

2 code implementations24 Jan 2021 Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli

Controlling false discovery rate (FDR) while leveraging the side information of multiple hypothesis testing is an emerging research topic in modern data science.


Non-iterative Parallel Text Generation via Glancing Transformer

no code implementations1 Jan 2021 Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei LI

Although non-autoregressive models with one-iteration generation achieves remarkable inference speed-up, they still falls behind their autoregressive counterparts inprediction accuracy.

Language Modelling Text Generation

Probabilistic Canonical Correlation Analysis for Sparse Count Data

no code implementations11 May 2020 Lin Qiu, Vernon M. Chinchilli

We further apply the PSCCA method to study the association of miRNA and mRNA expression data sets from a squamous cell lung cancer study, finding that PSCCA can uncover a large number of strongly correlated pairs than standard correlation and other sparse CCA approaches.

Interpretable Deep Representation Learning from Temporal Multi-view Data

no code implementations11 May 2020 Lin Qiu, Vernon M. Chinchilli, Lin Lin

In many scientific problems such as video surveillance, modern genomics, and finance, data are often collected from diverse measurements across time that exhibit time-dependent heterogeneous properties.

Representation Learning Time Series Analysis

Exploring Diverse Expressions for Paraphrase Generation

no code implementations IJCNLP 2019 Lihua Qian, Lin Qiu, Wei-Nan Zhang, Xin Jiang, Yong Yu

Paraphrasing plays an important role in various natural language processing (NLP) tasks, such as question answering, information retrieval and sentence simplification.

Information Retrieval Paraphrase Generation +3

Dynamically Fused Graph Network for Multi-hop Reasoning

1 code implementation ACL 2019 Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei LI, Wei-Nan Zhang, Yong Yu

However, many difficult questions require multiple supporting evidence from scattered text among two or more documents.

Question Answering

Sampled in Pairs and Driven by Text: A New Graph Embedding Framework

no code implementations12 Sep 2018 Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Wei-Nan Zhang, Ken Chen, Shaodian Zhang, Yong Yu

TGE-PS uses Pairs Sampling (PS) to improve the sampling strategy of RW, being able to reduce ~99% training samples while preserving competitive performance.

Graph Embedding Link Prediction

Deep Recurrent Survival Analysis

1 code implementation7 Sep 2018 Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Wei-Nan Zhang, Lin Qiu, Yong Yu

By capturing the time dependency through modeling the conditional probability of the event for each sample, our method predicts the likelihood of the true event occurrence and estimates the survival rate over time, i. e., the probability of the non-occurrence of the event, for the censored data.

Survival Analysis

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