Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction. - Linyi Yang; Tin Lok James Ng; Catherine Mooney; Ruihai Dong (AICS, 2017)

Explainable Text-Driven Neural Network for Stock Prediction. - Linyi Yang; Zheng Zhang 042; Su Xiong; Lirui Wei; James Ng; Lina Xu; Ruihai Dong (CCIS, 2018)

MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. - Jiazheng Li 002; Linyi Yang; Barry Smyth; Ruihai Dong (CIKM, 2020)

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. - Linyi Yang; Eoin M. Kenny; Tin Lok James Ng; Yi Yang 042; Barry Smyth; Ruihai Dong (COLING, 2020)

HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. - Linyi Yang; Tin Lok James Ng; Barry Smyth; Ruihai Dong (WWW, 2020)

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. - Linyi Yang; Jiazheng Li 002; Padraig Cunningham; Yue Zhang 004; Barry Smyth; Ruihai Dong (ACL/IJCNLP (1), 2021)

Fact Check: Analyzing Financial Events from Multilingual News Sources. - Linyi Yang; Tin Lok James Ng; Barry Smyth; Ruihai Dong (CoRR, 2021)

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. - Linyi Yang; Jiazheng Li 002; Ruihai Dong; Yue Zhang 004; Barry Smyth (AAAI, 2022)

A Rationale-Centric Framework for Human-in-the-loop Machine Learning. - Jinghui Lu; Linyi Yang; Brian MacNamee; Yue Zhang 004 (ACL (1), 2022)

Human-in-the-loop Robotic Grasping Using BERT Scene Representation. - Yaoxian Song; Penglei Sun; Pengfei Fang; Linyi Yang; Yanghua Xiao; Yue Zhang 004 (COLING, 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 004 (COLING, 2022)

USB: A Unified Semi-supervised Learning Benchmark for Classification. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (NeurIPS, 2022)

Challenges for Open-domain Targeted Sentiment Analysis. - Yun Luo; Hongjie Cai; Linyi Yang; Yanxia Qin; Rui Xia; Yue Zhang 004 (CoRR, 2022)

Towards Fine-grained Causal Reasoning and QA. - Linyi Yang; Zhen Wang 020; Yuxiang Wu; Jie Yang 028; Yue Zhang 004 (CoRR, 2022)

USB: A Unified Semi-supervised Learning Benchmark. - Yidong Wang; Hao Chen 102; Yue Fan; Wang Sun; Ran Tao 013; Wenxin Hou; Renjie Wang; Linyi Yang; Zhi Zhou 007; Lan-Zhe Guo; Heli Qi; Zhen Wu 002; et al. (CoRR, 2022)

Pre-Training a Graph Recurrent Network for Language Representation. - Yile Wang 001; Linyi Yang; Zhiyang Teng; Ming Zhou 001; Yue Zhang 004 (CoRR, 2022)

Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis. - Chenyang Lyu; Linyi Yang; Yue Zhang 004; Yvette Graham; Jennifer Foster (CoRR, 2022)

Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. - Chenyang Lyu; Linyi Yang; Yue Zhang 004; Yvette Graham; Jennifer Foster (ACL (Findings), 2023)

Learning to Generalize for Cross-domain QA. - Yingjie Niu; Linyi Yang; Ruihai Dong; Yue Zhang 004 (ACL (Findings), 2023)

Measuring Consistency in Text-based Financial Forecasting Models. - Linyi Yang; Yingpeng Ma; Yue Zhang 004 (ACL (1), 2023)

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. - Linyi Yang; Shuibai Zhang; Libo Qin 003; Yafu Li; Yidong Wang; Hanmeng Liu; Jindong Wang 001; Xing Xie 001; Yue Zhang 004 (ACL (Findings), 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 001; Jennifer Foster; Yue Zhang 004 (EMNLP, 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 001; Yvette Graham; Jennifer Foster (ACM Multimedia, 2023)

SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. - Fang Guo; Yun Luo; Linyi Yang; Yue Zhang 004 (SIGIR, 2023)

Deepfake Text Detection in the Wild. - Yafu Li; Qintong Li; Leyang Cui; Wei Bi; Longyue Wang; Linyi Yang; Shuming Shi 001; Yue Zhang 004 (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 001; Jennifer Foster; Yue Zhang 004 (CoRR, 2023)

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. - Kaijie Zhu; Jindong Wang 001; Jiaheng Zhou; Zichen Wang; Hao Chen 102; Yidong Wang; Linyi Yang; Wei Ye 004; Neil Zhenqiang Gong; Yue Zhang 004; Xing Xie 001 (CoRR, 2023)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang; Zhuohao Yu 001; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; Shikun Zhang; et al. (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)

The Lq-weighted dual programming of the linear Chebyshev approximation and an interior-point method. - Linyi Yang; Lei-Hong Zhang; Ya-Nan 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; Cheng Jiayang; Yunzhi Yao; Wenyang Gao; Xuming Hu; Zehan Qi; Yidong Wang; Linyi Yang; et al. (CoRR, 2023)

MAGE: Machine-generated Text Detection in the Wild. - Yafu Li; Qintong Li; Leyang Cui; Wei Bi; Zhilin Wang; Longyue Wang; Linyi Yang; Shuming Shi 001; Yue Zhang 004 (ACL (1), 2024)

Detoxifying Large Language Models via Knowledge Editing. - Mengru Wang; Ningyu Zhang 001; Ziwen Xu; Zekun Xi; Shumin Deng; Yunzhi Yao; Qishen Zhang; Linyi Yang; Jindong Wang 001; Huajun Chen (ACL (1), 2024)

NLP-Based Analysis of Annual Reports: Asset Volatility Prediction and Portfolio Strategy Application. - Xiao Li; Yang Xu; Linyi Yang; Yue Zhang 004; Ruihai Dong (AICS, 2024)

Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. - Guangsheng Bao; Yanbin Zhao; Zhiyang Teng; Linyi Yang; Yue Zhang 004 (ICLR, 2024)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang; Zhuohao Yu 001; Wenjin Yao; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; et al. (ICLR, 2024)

Supervised Knowledge Makes Large Language Models Better In-context Learners. - Linyi Yang; Shuibai Zhang; Zhuohao Yu 001; Guangsheng Bao; Yidong Wang; Jindong Wang 001; Ruochen Xu; Wei Ye 004; Xing Xie 001; Weizhu Chen; Yue Zhang 004 (ICLR, 2024)

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. - Kaijie Zhu; Jindong Wang 001; Jiaheng Zhou; Zichen Wang; Hao Chen 102; Yidong Wang; Linyi Yang; Wei Ye 004; Yue Zhang 004; Neil Gong 001; Xing Xie 001 (LAMPS@CCS, 2024)

A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution. - Bowen Ding; Qingkai Min; Shengkun Ma; Yingjie Li 008; Linyi Yang; Yue Zhang 004 (NAACL-HLT, 2024)

CulturePark: Boosting Cross-cultural Understanding in Large Language Models. - Cheng Li; Damien Teney; Linyi Yang; Qingsong Wen; Xing Xie 001; Jindong Wang 001 (NeurIPS, 2024)

GenDec: A robust generative Question-decomposition method for Multi-hop reasoning. - Jian Wu 037; Linyi Yang; Yuliang Ji; Wenhao Huang 001; Börje F. Karlsson; Manabu Okumura (CoRR, 2024)

MRKE: The Multi-hop Reasoning Evaluation of LLMs by Knowledge Edition. - Jian Wu 037; Linyi Yang; Manabu Okumura; Yue Zhang 004 (CoRR, 2024)

LLMs with Chain-of-Thought Are Non-Causal Reasoners. - Guangsheng Bao; Hongbo Zhang; Linyi Yang; Cunxiang Wang; Yue Zhang 004 (CoRR, 2024)

Multivariate confluent Vandermonde with G-Arnoldi and applications. - Lei-Hong Zhang; Ya-Nan Zhang; Linyi Yang; Yifu Wu (CoRR, 2024)

Personality Alignment of Large Language Models. - Minjun Zhu; Linyi Yang; Yue Zhang 004 (CoRR, 2024)

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models. - Jun Wang 012; Meng Fang; Ziyu Wan; Muning Wen; Jiachen Zhu 001; Anjie Liu; Ziqin Gong; Yan Song 003; Lei Chen 002; Lionel M. Ni; Linyi Yang; Ying Wen 001; et al. (CoRR, 2024)

Locking Down the Finetuned LLMs Safety. - Minjun Zhu; Linyi Yang; Yifan Wei; Ningyu Zhang 001; Yue Zhang 004 (CoRR, 2024)

CAP: Data Contamination Detection via Consistency Amplification. - Yi Zhao; Jing Li 049; Linyi Yang (CoRR, 2024)

Direct Preference Optimization Using Sparse Feature-Level Constraints. - Qingyu Yin; Chak Tou Leong; Hongbo Zhang; Minjun Zhu; Hanqi Yan; Qiang Zhang; Yulan He 001; Wenjie Li 002; Jun Wang 121; Yue Zhang 004; Linyi Yang (CoRR, 2024)

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. - Jindong Wang 001; Xixu Hu; Wenxin Hou; Hao Chen 102; Runkai Zheng; Yidong Wang; Linyi Yang; Wei Ye 004; Haojun Huang; Xiubo Geng; Binxing Jiao; Yue Zhang 004; et al. (IEEE Data Eng. Bull., 2024)

A convex dual problem for the rational minimax approximation and Lawson's iteration. - Lei-Hong Zhang; Linyi Yang; Wei Hong Yang; Ya-Nan Zhang (Math. Comput., 2024)

Masked Conditional Variational Autoencoders for Chromosome Straightening. - Jingxiong Li; Sunyi Zheng; Zhongyi Shui; Shichuan Zhang; Linyi Yang; Yuxuan Sun 002; Yunlong Zhang; Honglin Li 001; Yuanxin Ye; Peter M. A. van Ooijen; Kang Li 004; Lin Yang 002 (IEEE Trans. Medical Imaging, 2024)

A Survey on Evaluation of Large Language Models. - Yupeng Chang; Xu Wang; Jindong Wang 001; Yuan Wu 002; Linyi Yang; Kaijie Zhu; Hao Chen 102; Xiaoyuan Yi; Cunxiang Wang; Yidong Wang; Wei Ye 004; Yue Zhang 004; et al. (ACM Trans. Intell. Syst. Technol., 2024)

The Lq-weighted dual programming of the linear Chebyshev approximation and an interior-point method. - Linyi Yang; Lei-Hong Zhang; Zhang Ya-Nan (Adv. Comput. Math., 2024)

DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process. - Minjun Zhu; Yixuan Weng; Linyi Yang; Yue Zhang 004 (ACL (1), 2025)

How Likely Do LLMs with CoT Mimic Human Reasoning? - Guangsheng Bao; Hongbo Zhang; Cunxiang Wang; Linyi Yang; Yue Zhang 004 (COLING, 2025)

CycleResearcher: Improving Automated Research via Automated Review. - Yixuan Weng; Minjun Zhu; Guangsheng Bao; Hongbo Zhang; Jindong Wang 001; Yue Zhang 004; Linyi Yang (ICLR, 2025)

MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions. - Jian Wu 037; Linyi Yang; Dongyuan Li; Yuliang Ji; Manabu Okumura; Yue Zhang 004 (ICLR, 2025)

CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark. - Jian Wu 037; Linyi Yang; Zhen Wang 020; Manabu Okumura; Yue Zhang 004 (ICLR, 2025)

Human Simulacra: Benchmarking the Personification of Large Language Models. - Qiujie Xie; Qiming Feng; Tianqi Zhang; Qingqiu Li; Linyi Yang; Yuejie Zhang; Rui Feng 001; Liang He; Shang Gao 003; Yue Zhang 004 (ICLR, 2025)

An Empirical Analysis of Uncertainty in Large Language Model Evaluations. - Qiujie Xie; Qingqiu Li; Zhuohao Yu 001; Yuejie Zhang; Yue Zhang 004; Linyi Yang (ICLR, 2025)

Personality Alignment of Large Language Models. - Minjun Zhu; Yixuan Weng; Linyi Yang; Yue Zhang 004 (ICLR, 2025)

SALA: Semantic alignment and localization alignment for visual grounding. - Hongbing Li; Xinran Wang; Linyi Yang; Qi Li; Bo Xiao 006 (Neurocomputing, 2025)

Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values. - Hongbo Zhang; Han Cui; Guangsheng Bao; Linyi Yang; Jun Wang 012; Yue Zhang 004 (CoRR, 2025)

ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning. - Shulin Huang; Linyi Yang; Yan Song 003; Shuang Chen; Leyang Cui; Ziyu Wan; Qingcheng Zeng; Ying Wen 001; Kun Shao; Weinan Zhang 001; Jun Wang 012; Yue Zhang 004 (CoRR, 2025)

LAG: LLM agents for Leaderboard Auto Generation on Demanding. - Jian Wu 037; Jiayu Zhang; Dongyuan Li; Linyi Yang; Aoxiao Zhong; Renhe Jiang; Qingsong Wen; Yue Zhang 004 (CoRR, 2025)

ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning. - Ziyu Wan; Yunxiang Li; Yan Song 003; Hanjing Wang; Linyi Yang; Mark Schmidt 001; Jun Wang 012; Weinan Zhang 001; Shuyue Hu; Ying Wen 001 (CoRR, 2025)

Induction Head Toxicity Mechanistically Explains Repetition Curse in Large Language Models. - Shuxun Wang; Qingyu Yin; Chak Tou Leong; Qiang Zhang; Linyi Yang (CoRR, 2025)

Pre-Training a Graph Recurrent Network for Text Understanding. - Yile Wang 001; Linyi Yang; Zhiyang Teng; Ming Zhou 001; Yue Zhang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

AI Scientists Fail Without Strong Implementation Capability. - Minjun Zhu; Qiujie Xie; Yixuan Weng; Jian Wu 037; Zhen Lin; Linyi Yang; Yue Zhang 004 (CoRR, 2025)

Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning. - Xiangning Yu 001; Zhuohan Wang; Linyi Yang; Haoxuan Li 001; Anjie Liu; Xiao Xue 001; Jun Wang 012; Mengyue Yang (CoRR, 2025)

Deep Research Agents: A Systematic Examination And Roadmap. - Yuxuan Huang; Yihang Chen; Haozheng Zhang; Kang Li; Meng Fang; Linyi Yang; Xiaoguang Li; Lifeng Shang; Songcen Xu; Jianye Hao; Kun Shao; Jun Wang 012 (CoRR, 2025)

MCEval: A Dynamic Framework for Fair Multilingual Cultural Evaluation of LLMs. - Shulin Huang; Linyi Yang; Yue Zhang (CoRR, 2025)

How Far Are AI Scientists from Changing the World? - Qiujie Xie; Yixuan Weng; Minjun Zhu; Fuchen Shen; Shulin Huang; Zhen Lin; Jiahui Zhou; Zilan Mao; Zijie Yang; Linyi Yang; Jian Wu; Yue Zhang (CoRR, 2025)