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Linyi Yang
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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
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15(3): 39:1-39:45 (2024) - [j1]Jingxiong Li
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
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 - [i40]Jian Wu, Linyi Yang
GenDec: A robust generative Question-decomposition method for Multi-hop reasoning. CoRR abs/2402.11166 (2024) - [i39]Jian Wu, Linyi Yang
MRKE: The Multi-hop Reasoning Evaluation of LLMs by Knowledge Edition. CoRR abs/2402.11924 (2024) - [i38]Guangsheng Bao, Hongbo Zhang, Linyi Yang
LLMs with Chain-of-Thought Are Non-Causal Reasoners. CoRR abs/2402.16048 (2024) - [i37]Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang
Detoxifying Large Language Models via Knowledge Editing. CoRR abs/2403.14472 (2024) - [i36]Bowen Ding, Qingkai Min, Shengkun Ma, Yingjie Li, Linyi Yang
A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution. CoRR abs/2404.01921 (2024) - [i35]Lei-Hong Zhang, Ya-Nan Zhang, Linyi Yang, Yifu Wu:
Multivariate confluent Vandermonde with G-Arnoldi and applications. CoRR abs/2404.09266 (2024) - [i34]Cheng Li, Damien Teney, Linyi Yang
CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR abs/2405.15145 (2024) - [i33]Minjun Zhu, Linyi Yang
Personality Alignment of Large Language Models. CoRR abs/2408.11779 (2024) - [i32]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) - [i31]Minjun Zhu, Linyi Yang, Yifan Wei, Ningyu Zhang, Yue Zhang:
Locking Down the Finetuned LLMs Safety. CoRR abs/2410.10343 (2024) - [i30]Yi Zhao, Jing Li, Linyi Yang:
CAP: Data Contamination Detection via Consistency Amplification. CoRR abs/2410.15005 (2024) - [i29]Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang:
CycleResearcher: Improving Automated Research via Automated Review. CoRR abs/2411.00816 (2024) - 2023
- [c18]Yingjie Niu
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
Graph-Based Video-Language Learning with Multi-Grained Audio-Visual Alignment. ACM Multimedia 2023: 3975-3984 - [c12]Fang Guo
SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. SIGIR 2023: 205-215 - [i28]Jindong Wang
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
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
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
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
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
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. CoRR abs/2310.05130 (2023) - [i16]Cunxiang Wang, Xiaoze Liu
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR abs/2310.07521 (2023) - [i15]Linyi Yang
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
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
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. CoRR abs/2203.12918 (2022) - [i12]Yun Luo, Hongjie Cai, Linyi Yang
Challenges for Open-domain Targeted Sentiment Analysis. CoRR abs/2204.06893 (2022) - [i11]Linyi Yang
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
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - [i9]Linyi Yang
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
Pre-Training a Graph Recurrent Network for Language Representation. CoRR abs/2209.03834 (2022) - [i7]Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang
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
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective. CoRR abs/2211.08073 (2022) - [i5]Chenyang Lyu, Linyi Yang
Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis. CoRR abs/2212.08888 (2022) - 2021
- [c6]Linyi Yang, Jiazheng Li
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
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
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
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 2024-12-13 20:03 CET by the dblp team
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