Linyi Yang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 63

Top Topics

Text Classification

Automatically Generate

Reference Resolution

Top Venues

Publications

Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen
Detoxifying Large Language Models via Knowledge Editing. ACL (1) (2024)
Bowen Ding, Qingkai Min, Shengkun Ma, Yingjie Li, Linyi Yang, Yue Zhang
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution. NAACL-HLT (2024)
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Supervised Knowledge Makes Large Language Models Better In-context Learners. ICLR (2024)
Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR (2024)
Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen
Detoxifying Large Language Models via Knowledge Editing. CoRR (2024)
Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. ICLR (2024)
Linyi Yang, Lei-Hong Zhang, Zhang Ya-Nan
-weighted dual programming of the linear Chebyshev approximation and an interior-point method. Adv. Comput. Math. 50 (4) (2024)
Jian Wu, Linyi Yang, Yuliang Ji, Wenhao Huang, Börje F. Karlsson, Manabu Okumura
GenDec: A robust generative Question-decomposition method for Multi-hop reasoning. CoRR (2024)
Bowen Ding, Qingkai Min, Shengkun Ma, Yingjie Li, Linyi Yang, Yue Zhang
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution. CoRR (2024)
Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang
MAGE: Machine-generated Text Detection in the Wild. ACL (1) (2024)
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Jingxiong Li, Sunyi Zheng, Zhongyi Shui, Shichuan Zhang, Linyi Yang, Yuxuan Sun, Yunlong Zhang, Honglin Li, Yuanxin Ye, Peter M. A. van Ooijen, Kang Li, Lin Yang
Masked Conditional Variational Autoencoders for Chromosome Straightening. IEEE Trans. Medical Imaging 43 (1) (2024)
Guangsheng Bao, Hongbo Zhang, Linyi Yang, Cunxiang Wang, Yue Zhang
LLMs with Chain-of-Thought Are Non-Causal Reasoners. CoRR (2024)
Jian Wu, Linyi Yang, Manabu Okumura, Yue Zhang
MRKE: The Multi-hop Reasoning Evaluation of LLMs by Knowledge Edition. CoRR (2024)
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR (2024)
Lei-Hong Zhang, Ya-Nan Zhang, Linyi Yang, Yifu Wu
Multivariate confluent Vandermonde with G-Arnoldi and applications. CoRR (2024)
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. IEEE Data Eng. Bull. 47 (1) (2024)
Linyi Yang, Lei-Hong Zhang, Ya-Nan Zhang
-weighted dual programming of the linear Chebyshev approximation and an interior-point method. CoRR (2023)
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. CoRR (2023)
Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. CoRR (2023)
Jingxiong Li, Sunyi Zheng, Zhongyi Shui, Shichuan Zhang, Linyi Yang, Yuxuan Sun, Yunlong Zhang, Honglin Li, Yuanxin Ye, Peter M. A. van Ooijen, Kang Li, Lin Yang
Masked conditional variational autoencoders for chromosome straightening. CoRR (2023)
Chenyang Lyu, Wenxi Li, Tianbo Ji, Longyue Wang, Liting Zhou, Cathal Gurrin, Linyi Yang, Yi Yu, Yvette Graham, Jennifer Foster
Graph-Based Video-Language Learning with Multi-Grained Audio-Visual Alignment. ACM Multimedia (2023)
Linyi Yang, Yingpeng Ma, Yue Zhang
Measuring Consistency in Text-based Financial Forecasting Models. CoRR (2023)
Linyi Yang, Yingpeng Ma, Yue Zhang
Measuring Consistency in Text-based Financial Forecasting Models. ACL (1) (2023)
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
A Survey on Evaluation of Large Language Models. CoRR (2023)
Fang Guo, Yun Luo, Linyi Yang, Yue Zhang
SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. SIGIR (2023)
Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang
Learning to Generalize for Cross-domain QA. CoRR (2023)
Linyi Yang, Yaoxiao Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future. CoRR (2023)
Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Jiayang Cheng, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR (2023)
Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. CoRR (2023)
Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang
Learning to Generalize for Cross-domain QA. ACL (Findings) (2023)
Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang
Deepfake Text Detection in the Wild. CoRR (2023)
Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR (2023)
Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. ACL (Findings) (2023)
Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster
Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. ACL (Findings) (2023)
Lei-Hong Zhang, Linyi Yang, Wei Hong Yang, Ya-Nan Zhang
A convex dual programming for the rational minimax approximation and Lawson's iteration. CoRR (2023)
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR (2023)
Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. EMNLP (2023)
Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. AAAI (2022)
Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS (2022)
Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster
Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis. CoRR (2022)
Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. CoRR (2022)
Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang
Human-in-the-loop Robotic Grasping using BERT Scene Representation. CoRR (2022)
Yile Wang, Linyi Yang, Zhiyang Teng, Ming Zhou, Yue Zhang
Pre-Training a Graph Recurrent Network for Language Representation. CoRR (2022)
Yun Luo, Hongjie Cai, Linyi Yang, Yanxia Qin, Rui Xia, Yue Zhang
Challenges for Open-domain Targeted Sentiment Analysis. CoRR (2022)
Jinghui Lu, Linyi Yang, Brian Mac Namee, Yue Zhang
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. CoRR (2022)
Jinghui Lu, Linyi Yang, Brian MacNamee, Yue Zhang
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. ACL (1) (2022)
Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang
Towards Fine-grained Causal Reasoning and QA. CoRR (2022)
Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. COLING (2022)
Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. CoRR (2022)
Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
USB: A Unified Semi-supervised Learning Benchmark. CoRR (2022)
Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective. CoRR (2022)
Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang
Human-in-the-loop Robotic Grasping Using BERT Scene Representation. COLING (2022)
Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. CoRR (2021)
Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
Fact Check: Analyzing Financial Events from Multilingual News Sources. CoRR (2021)
Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. ACL/IJCNLP (1) (2021)
Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. CIKM (2020)
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. COLING (2020)
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. CoRR (2020)
Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. WWW (2020)
Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong
Explainable Text-Driven Neural Network for Stock Prediction. CoRR (2019)
Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong
Explainable Text-Driven Neural Network for Stock Prediction. CCIS (2018)
Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction. AICS (2017)