--- title: "Zhiyuan Liu — papers" description: "Zhiyuan Liu: 21 papers in the Elamur Research library (2014–2024) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/zhiyuan-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhiyuan-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhiyuan Liu # Zhiyuan Liu 21 papers on this site (2014–2024) [OpenAlex](https://openalex.org/A5100320723) · [ORCID](https://orcid.org/0000-0002-7709-2543) · h-index 93 · 757 works · 45253 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory](https://md.research.elamur.ai/free/en/papers/xiao-2024-infllm-training-free-long-context/) — Chaojun Xiao, Pengle Zhang, Xu Han, et al. · 2024 - [ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate](https://md.research.elamur.ai/free/en/papers/chan-2023-chateval-better-llm-based/) — Chi-Min Chan, Weize Chen, Yusheng Su, et al. · 2023 - [Enhancing Chat Language Models by Scaling High-quality Instructional Conversations](https://md.research.elamur.ai/free/en/papers/ding-2023-enhancing-chat-language-models-scaling/) — Ning Ding, Yulin Chen, Bokai Xu, et al. · 2023 - [Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification](https://md.research.elamur.ai/free/en/papers/hu-2022-knowledgeable-prompt-tuning-incorporating-knowledge/) — Shengding Hu, Ning Ding, Huadong Wang, et al. · 2022 - [MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction](https://md.research.elamur.ai/free/en/papers/wang-2022-maven-ere-unified-large-scale/) — Xiaozhi Wang, Yulin Chen, Ning Ding, et al. · 2022 - [OpenPrompt: An Open-source Framework for Prompt-learning](https://md.research.elamur.ai/free/en/papers/ding-2022-openprompt-open-source-framework-prompt/) — Ning Ding, Shengding Hu, Weilin Zhao, et al. · 2022 - [PPT: Pre-trained Prompt Tuning for Few-shot Learning](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/) — Yuxian Gu, Xu Han, Zhiyuan Liu, et al. · 2022 - [Few-NERD: A Few-shot Named Entity Recognition Dataset](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/) — Ning Ding, Guangwei Xu, Yulin Chen, et al. · 2021 - [Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger](https://md.research.elamur.ai/free/en/papers/qi-2021-hidden-killer-invisible-textual-backdoor/) — Fanchao Qi, Mukai Li, Yangyi Chen, et al. · 2021 - [Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer](https://md.research.elamur.ai/free/en/papers/qi-2021-mind-style-text-adversarial-backdoor/) — Fanchao Qi, Yangyi Chen, Xurui Zhang, et al. · 2021 - [ONION: A Simple and Effective Defense Against Textual Backdoor Attacks](https://md.research.elamur.ai/free/en/papers/qi-2021-onion-simple-effective-defense-against/) — Fanchao Qi, Yangyi Chen, Mukai Li, et al. · 2021 - [Fine-grained Fact Verification with Kernel Graph Attention Network](https://md.research.elamur.ai/free/en/papers/liu-2020-fine-grained-fact-verification-kernel/) — Zhenghao Liu, Chenyan Xiong, Maosong Sun, et al. · 2020 - [How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence](https://md.research.elamur.ai/free/en/papers/zhong-2020-how-does-nlp-benefit-legal/) — Haoxi Zhong, Chaojun Xiao, Cunchao Tu, et al. · 2020 - [MAVEN: A Massive General Domain Event Detection Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-maven-massive-general-domain-event/) — Xiaozhi Wang, Ziqi Wang, Xu Han, et al. · 2020 - [Word-level Textual Adversarial Attacking as Combinatorial Optimization](https://md.research.elamur.ai/free/en/papers/zang-2020-word-level-textual-adversarial-attacking/) — Yuan Zang, Fanchao Qi, Chenghao Yang, et al. · 2020 - [GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification](https://md.research.elamur.ai/free/en/papers/zhou-2019-gear-graph-based-evidence-aggregating/) — Jie Zhou, Xu Han, Cheng Yang, et al. · 2019 - [CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction](https://md.research.elamur.ai/free/en/papers/xiao-2018-cail2018-large-scale-legal-dataset/) — Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, et al. · 2018 - [Few-Shot Charge Prediction with Discriminative Legal Attributes](https://md.research.elamur.ai/free/en/papers/hu-2018-few-shot-charge-prediction-discriminative/) — Zikun Hu, Xiang Li, Cunchao Tu, et al. · 2018 - [Legal Judgment Prediction via Topological Learning](https://md.research.elamur.ai/free/en/papers/zhong-2018-legal-judgment-prediction-topological-learning/) — Haoxi Zhong, Zhipeng Guo, Cunchao Tu, et al. · 2018 - [Relation Classification via Multi-Level Attention CNNs](https://md.research.elamur.ai/free/en/papers/wang-2016-relation-classification-multi-level-attention/) — Linlin Wang, Zhu Cao, Gerard de Melo, et al. · 2016 - [A Unified Model for Word Sense Representation and Disambiguation](https://md.research.elamur.ai/free/en/papers/chen-2014-unified-model-word-sense-representation/) — Xinxiong Chen, Zhiyuan Liu, Maosong Sun · 2014