Linyi Yang

According to our database, Linyi Yang authored at least 40 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Masked Conditional Variational Autoencoders for Chromosome Straightening.

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

IEEE Trans. Medical Imaging, January, 2024

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.

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

IEEE Data Eng. Bull., 2024

Detoxifying Large Language Models via Knowledge Editing.

Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen

CoRR, 2024

LLMs with Chain-of-Thought Are Non-Causal Reasoners.

Guangsheng Bao, Hongbo Zhang, Linyi Yang, Cunxiang Wang, Yue Zhang

CoRR, 2024

MRKE: The Multi-hop Reasoning Evaluation of LLMs by Knowledge Edition.

Jian Wu, Linyi Yang, Manabu Okumura, Yue Zhang

CoRR, 2024

GenDec: A robust generative Question-decomposition method for Multi-hop reasoning.

Jian Wu, Linyi Yang, Yuliang Ji, Wenhao Huang, Börje F. Karlsson, Manabu Okumura

CoRR, 2024

2023

Supervised Knowledge Makes Large Language Models Better In-context Learners.

Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang

CoRR, 2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

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

CoRR, 2023

Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature.

Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang

CoRR, 2023

The L_q-weighted dual programming of the linear Chebyshev approximation and an interior-point method.

Linyi Yang, Lei-Hong Zhang, Ya-Nan Zhang

CoRR, 2023

A convex dual programming for the rational minimax approximation and Lawson's iteration.

Lei-Hong Zhang, Linyi Yang, Wei Hong Yang, Ya-Nan Zhang

CoRR, 2023

A Survey on Evaluation of Large Language Models.

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

CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

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

CoRR, 2023

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie

CoRR, 2023

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future.

Linyi Yang, Yaoxiao Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang

CoRR, 2023

Deepfake Text Detection in the Wild.

Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang

CoRR, 2023

SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information.

Fang Guo, Yun Luo, Linyi Yang, Yue Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph-Based Video-Language Learning with Multi-Grained Audio-Visual Alignment.

Chenyang Lyu, Wenxi Li, Tianbo Ji, Longyue Wang, Liting Zhou, Cathal Gurrin, Linyi Yang, Yi Yu, Yvette Graham, Jennifer Foster

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future.

Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.

Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Measuring Consistency in Text-based Financial Forecasting Models.

Linyi Yang, Yingpeng Ma, Yue Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning to Generalize for Cross-domain QA.

Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis.

Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis.

Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster

CoRR, 2022

Pre-Training a Graph Recurrent Network for Language Representation.

Yile Wang, Linyi Yang, Zhiyang Teng, Ming Zhou, Yue Zhang

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark.

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

CoRR, 2022

Towards Fine-grained Causal Reasoning and QA.

Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang

CoRR, 2022

Challenges for Open-domain Targeted Sentiment Analysis.

Yun Luo, Hongjie Cai, Linyi Yang, Yanxia Qin, Rui Xia, Yue Zhang

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition.

Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Human-in-the-loop Robotic Grasping Using BERT Scene Representation.

Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Rationale-Centric Framework for Human-in-the-loop Machine Learning.

Jinghui Lu, Linyi Yang, Brian MacNamee, Yue Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting.

Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Fact Check: Analyzing Financial Events from Multilingual News Sources.

Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong

CoRR, 2021

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis.

Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction.

Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification.

Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong

Proceedings of the 28th International Conference on Computational Linguistics, 2020

MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction.

Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018

Explainable Text-Driven Neural Network for Stock Prediction.

Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong

Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

2017

Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction.

Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong

Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017