Linyi Yang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
10
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AMA: Adaptive Memory via Multi-Agent Collaboration. | Weiquan Huang, Zixuan Wang, Hehai Lin, Sudong Wang, Bo Xu, Qian Li, Beier Zhu, Linyi Yang, Chengwei Qin |
| 2026 | ACL | KnowDR-REC: Auditing Knowledge-Conditioned Visual Grounding in Referring Expression Comprehension. | Guanghao Jin, Jingpei Wu, Tianpei Guo, Yiyi Niu, Weidong Zhou, Linyi Yang, Guoyang Liu |
| 2026 | ACL | Interactive Learning for LLM Reasoning. | Hehai Lin, Shilei Cao, Sudong Wang, Haotian Wu, Minzhi Li, Linyi Yang, Juepeng Zheng, Chengwei Qin |
| 2026 | ACL | CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges. | Zihan Wang, Lam Nguyen, Zhengyang Zhao, Mengyue Yang, Chengwei Qin, Yujiu Yang, Linyi Yang |
| 2026 | ACL | Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race? | Yuan Xin, Dingfan Chen, Linyi Yang, Michael Backes, Xiao Zhang |
| 2025 | ACL | DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process. | Minjun Zhu, Yixuan Weng, Linyi Yang, Yue Zhang |
| 2025 | COLING | How Likely Do LLMs with CoT Mimic Human Reasoning? | Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, Linyi Yang, Yue Zhang |
| 2025 | EMNLP | ResearStudio: A Human-intervenable Framework for Building Controllable Deep Research Agents. | Linyi Yang, Yixuan Weng |
| 2025 | EMNLP | Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values. | Hongbo Zhang, Han Cui, Guangsheng Bao, Linyi Yang, Jun Wang, Yue Zhang |
| 2025 | ICLR | CycleResearcher: Improving Automated Research via Automated Review. | Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang |
| 2025 | ICLR | MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions. | Jian Wu, Linyi Yang, Dongyuan Li, Yuliang Ji, Manabu Okumura, Yue Zhang |
| 2025 | ICLR | CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark. | Jian Wu, Linyi Yang, Zhen Wang, Manabu Okumura, Yue Zhang |
| 2025 | ICLR | Human Simulacra: Benchmarking the Personification of Large Language Models. | Qiujie Xie, Qiming Feng, Tianqi Zhang, Qingqiu Li, Linyi Yang, Yuejie Zhang, Rui Feng, Liang He, Shang Gao, Yue Zhang |
| 2025 | ICLR | An Empirical Analysis of Uncertainty in Large Language Model Evaluations. | Qiujie Xie, Qingqiu Li, Zhuohao Yu, Yuejie Zhang, Yue Zhang, Linyi Yang |
| 2025 | ICLR | Personality Alignment of Large Language Models. | Minjun Zhu, Yixuan Weng, Linyi Yang, Yue Zhang |
| 2025 | ICML | Constrain Alignment with Sparse Autoencoders. | Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang |
| 2024 | ACL | MAGE: Machine-generated Text Detection in the Wild. | Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang |
| 2024 | ACL | 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 |
| 2024 | ICLR | Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. | Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang |
| 2024 | ICLR | PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. | 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 |
| 2024 | ICLR | 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 |
| 2024 | NAACL | A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution. | Bowen Ding, Qingkai Min, Shengkun Ma, Yingjie Li, Linyi Yang, Yue Zhang |
| 2023 | ACL | Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. | Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster |
| 2023 | ACL | Learning to Generalize for Cross-domain QA. | Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang |
| 2023 | ACL | Measuring Consistency in Text-based Financial Forecasting Models. | Linyi Yang, Yingpeng Ma, Yue Zhang |
| 2023 | ACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | SIGIR | SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. | Fang Guo, Yun Luo, Linyi Yang, Yue Zhang |
| 2022 | AAAI | NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. | Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth |
| 2022 | ACL | A Rationale-Centric Framework for Human-in-the-loop Machine Learning. | Jinghui Lu, Linyi Yang, Brian MacNamee, Yue Zhang |
| 2022 | COLING | Human-in-the-loop Robotic Grasping Using BERT Scene Representation. | Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang |
| 2022 | COLING | 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 |
| 2021 | ACL | Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. | Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong |
| 2020 | CIKM | MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. | Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong |
| 2020 | COLING | 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 |
| 2020 | WWW | HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. | Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong |