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2020 – today
- 2024
[j4]Linyi Yang, Lei-Hong Zhang
, Zhang Ya-Nan:
The Lq-weighted dual programming of the linear Chebyshev approximation and an interior-point method. Adv. Comput. Math. 50(4): 80 (2024)- [j3]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): 48-62 (2024) - [j2]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): 39:1-39:45 (2024) - [j1]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): 216-228 (2024) - [c25]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: 36-53 - [c24]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: 3093-3118 - [c23]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 - [c22]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 - [c21]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 - [c20]Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Gong, Xing Xie:
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. LAMPS@CCS 2024: 57-68 - [c19]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: 1112-1140 - [i38]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 abs/2402.11166 (2024) - [i37]Jian Wu, Linyi Yang, Manabu Okumura, Yue Zhang:
MRKE: The Multi-hop Reasoning Evaluation of LLMs by Knowledge Edition. CoRR abs/2402.11924 (2024) - [i36]Guangsheng Bao, Hongbo Zhang, Linyi Yang, Cunxiang Wang, Yue Zhang:
LLMs with Chain-of-Thought Are Non-Causal Reasoners. CoRR abs/2402.16048 (2024) - [i35]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 abs/2403.14472 (2024) - [i34]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 abs/2404.01921 (2024) - [i33]Lei-Hong Zhang, Ya-Nan Zhang, Linyi Yang, Yifu Wu:
Multivariate confluent Vandermonde with G-Arnoldi and applications. CoRR abs/2404.09266 (2024) - [i32]Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang:
CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR abs/2405.15145 (2024) - [i31]Minjun Zhu, Linyi Yang, Yue Zhang:
Personality Alignment of Large Language Models. CoRR abs/2408.11779 (2024) - [i30]Jun Wang, Meng Fang, Ziyu Wan, Muning Wen, Jiachen Zhu, Anjie Liu, Ziqin Gong, Yan Song, Lei Chen, Lionel M. Ni, Linyi Yang, Ying Wen, Weinan Zhang:
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models. CoRR abs/2410.09671 (2024) - [i29]Minjun Zhu, Linyi Yang, Yifan Wei, Ningyu Zhang, Yue Zhang:
Locking Down the Finetuned LLMs Safety. CoRR abs/2410.10343 (2024) - 2023
- [c18]Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang:
Learning to Generalize for Cross-domain QA. ACL (Findings) 2023: 1298-1313 - [c17]Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster:
Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. ACL (Findings) 2023: 1419-1429 - [c16]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: 12731-12750 - [c15]Linyi Yang, Yingpeng Ma, Yue Zhang:
Measuring Consistency in Text-based Financial Forecasting Models. ACL (1) 2023: 13751-13765 - [c14]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: 4533-4559 - [c13]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: 3975-3984 - [c12]Fang Guo, Yun Luo, Linyi Yang, Yue Zhang:
SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. SIGIR 2023: 205-215 - [i28]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 abs/2302.12095 (2023) - [i27]Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang:
Learning to Generalize for Cross-domain QA. CoRR abs/2305.08208 (2023) - [i26]Linyi Yang, Yingpeng Ma, Yue Zhang:
Measuring Consistency in Text-based Financial Forecasting Models. CoRR abs/2305.08524 (2023) - [i25]Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang:
Deepfake Text Detection in the Wild. CoRR abs/2305.13242 (2023) - [i24]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 abs/2305.14104 (2023) - [i23]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 abs/2306.04528 (2023) - [i22]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 abs/2306.05087 (2023) - [i21]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 abs/2306.14129 (2023) - [i20]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 abs/2307.03109 (2023) - [i19]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 abs/2308.06991 (2023) - [i18]Linyi Yang, Lei-Hong Zhang, Ya-Nan Zhang:
The Lq-weighted dual programming of the linear Chebyshev approximation and an interior-point method. CoRR abs/2308.07636 (2023) - [i17]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 abs/2310.05130 (2023) - [i16]Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, 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 abs/2310.07521 (2023) - [i15]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 abs/2312.15918 (2023) - 2022
- [c11]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. AAAI 2022: 11604-11612 - [c10]Jinghui Lu, Linyi Yang, Brian MacNamee, Yue Zhang:
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. ACL (1) 2022: 6986-6996 - [c9]Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang:
Human-in-the-loop Robotic Grasping Using BERT Scene Representation. COLING 2022: 2992-3006 - [c8]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: 5360-5371 - [c7]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, Yufeng 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 - [i14]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. CoRR abs/2201.01770 (2022) - [i13]Jinghui Lu, Linyi Yang, Brian Mac Namee, Yue Zhang:
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. CoRR abs/2203.12918 (2022) - [i12]Yun Luo, Hongjie Cai, Linyi Yang, Yanxia Qin, Rui Xia, Yue Zhang:
Challenges for Open-domain Targeted Sentiment Analysis. CoRR abs/2204.06893 (2022) - [i11]Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang:
Towards Fine-grained Causal Reasoning and QA. CoRR abs/2204.07408 (2022) - [i10]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, Yufeng 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 abs/2208.07204 (2022) - [i9]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 abs/2208.11464 (2022) - [i8]Yile Wang, Linyi Yang, Zhiyang Teng, Ming Zhou, Yue Zhang:
Pre-Training a Graph Recurrent Network for Language Representation. CoRR abs/2209.03834 (2022) - [i7]Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang:
Human-in-the-loop Robotic Grasping using BERT Scene Representation. CoRR abs/2209.14026 (2022) - [i6]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 abs/2211.08073 (2022) - [i5]Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster:
Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis. CoRR abs/2212.08888 (2022) - 2021
- [c6]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: 306-316 - [i4]Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong:
Fact Check: Analyzing Financial Events from Multilingual News Sources. CoRR abs/2106.15221 (2021) - [i3]Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong:
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. CoRR abs/2106.15231 (2021) - 2020
- [c5]Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong:
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. CIKM 2020: 3063-3070 - [c4]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: 6150-6160 - [c3]Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong:
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. WWW 2020: 441-451 - [i2]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 abs/2010.12512 (2020)
2010 – 2019
- 2019
- [i1]Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong:
Explainable Text-Driven Neural Network for Stock Prediction. CoRR abs/1902.04994 (2019) - 2018
- [c2]Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong:
Explainable Text-Driven Neural Network for Stock Prediction. CCIS 2018: 441-445 - 2017
- [c1]Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong:
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction. AICS 2017: 206-218
Coauthor Index
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last updated on 2024-11-27 20:26 CET by the dblp team
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