--- title: "Ting Liu — papers" description: "Ting Liu: 23 papers in the Elamur Research library (2008–2023) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/ting-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ting-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ting Liu # Ting Liu 23 papers on this site (2008–2023) [OpenAlex](https://openalex.org/A5100418156) · [ORCID](https://orcid.org/0000-0002-9091-7757) · h-index 39 · 189 works · 10502 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-hallucination-large-language-models/) — Lei Huang, Weijiang Yu, Weitao Ma, et al. · 2023 - [HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge](https://md.research.elamur.ai/free/en/papers/wang-2023-huatuo-tuning-llama-model-chinese/) — Haochun Wang, Chi Liu, Nuwa Xi, et al. · 2023 - [UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language](https://md.research.elamur.ai/free/en/papers/xi-2023-unicorn-unified-cognitive-signal-reconstruction/) — Nuwa Xi, Sendong Zhao, Haochun Wang, et al. · 2023 - [A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples](https://md.research.elamur.ai/free/en/papers/findings-2021-wang-closer-look-into-robustness-neural/) — Yuxuan Wang, Wanxiang Che, Ivan Titov, et al. · 2021 - [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://md.research.elamur.ai/free/en/papers/feng-2020-codebert-pre-trained-model-programming/) — Zhangyin Feng, Daya Guo, Duyu Tang, et al. · 2020 - [Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network](https://md.research.elamur.ai/free/en/papers/hou-2020-few-shot-slot-tagging-collapsed/) — Yutai Hou, Wanxiang Che, Yongkui Lai, et al. · 2020 - [Revisiting Pre-Trained Models for Chinese Natural Language Processing](https://md.research.elamur.ai/free/en/papers/cui-2020-revisiting-pre-trained-models-chinese/) — Yiming Cui, Wanxiang Che, Ting Liu, et al. · 2020 - [A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding](https://md.research.elamur.ai/free/en/papers/qin-2019-stack-propagation-framework-token-level/) — Libo Qin, Wanxiang Che, Yangming Li, et al. · 2019 - [Pre-Training with Whole Word Masking for Chinese BERT](https://md.research.elamur.ai/free/en/papers/cui-2019-pre-training-whole-word-masking/) — Yiming Cui, Wanxiang Che, Ting Liu, et al. · 2019 - [A Span-Extraction Dataset for Chinese Machine Reading Comprehension](https://md.research.elamur.ai/free/en/papers/cui-2018-span-extraction-dataset-chinese/) — Yiming Cui, Ting Liu, Wanxiang Che, et al. · 2018 - [Deep Reinforcement Learning for Chinese Zero Pronoun Resolution](https://md.research.elamur.ai/free/en/papers/yin-2018-deep-reinforcement-learning-chinese-zero/) — Qingyu Yin, Yu Zhang, Wei-Nan Zhang, et al. · 2018 - [Zero Pronoun Resolution with Attention-based Neural Network](https://md.research.elamur.ai/free/en/papers/yin-2018-zero-pronoun-resolution-attention-based/) — Qingyu Yin, Yu Zhang, Weinan Zhang, et al. · 2018 - [Chinese Zero Pronoun Resolution with Deep Memory Network](https://md.research.elamur.ai/free/en/papers/yin-2017-chinese-zero-pronoun-resolution-deep/) — Qingyu Yin, Yu Zhang, Weinan Zhang, et al. · 2017 - [Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution](https://md.research.elamur.ai/free/en/papers/liu-2017-generating-exploiting-large-scale-pseudo/) — Ting Liu, Yiming Cui, Qingyu Yin, et al. · 2017 - [A Language-Independent Neural Network for Event Detection](https://md.research.elamur.ai/free/en/papers/feng-2016-language-independent-neural-network-event/) — Xiaocheng Feng, Lifu Huang, Duyu Tang, et al. · 2016 - [Aspect Level Sentiment Classification with Deep Memory Network](https://md.research.elamur.ai/free/en/papers/tang-2016-aspect-level-sentiment-classification-deep/) — Duyu Tang, Bing Qin, Ting Liu · 2016 - [Effective LSTMs for Target-Dependent Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2016-effective-lstms-target-dependent-sentiment/) — Duyu Tang, Bing Qin, Xiaocheng Feng, et al. · 2016 - [Cross-lingual Dependency Parsing Based on Distributed Representations](https://md.research.elamur.ai/free/en/papers/guo-2015-cross-lingual-dependency-parsing-based/) — Jiang Guo, Wanxiang Che, David Yarowsky, et al. · 2015 - [Document Modeling with Gated Recurrent Neural Network for Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2015-document-modeling-gated-recurrent-neural/) — Duyu Tang, Bing Qin, Ting Liu · 2015 - [Learning Semantic Hierarchies via Word Embeddings](https://md.research.elamur.ai/free/en/papers/fu-2014-learning-semantic-hierarchies-word-embeddings/) — Ruiji Fu, Jiang Guo, Bing Qin, et al. · 2014 - [Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2014-learning-sentiment-specific-word-embedding/) — Duyu Tang, Furu Wei, Nan Yang, et al. · 2014 - [Application-driven Statistical Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/zhao-2009-application-driven-statistical-paraphrase-generation/) — Shiqi Zhao, Xiang Lan, Ting Liu, et al. · 2009 - [An Entity-Mention Model for Coreference Resolution with Inductive Logic Programming](https://md.research.elamur.ai/free/en/papers/yang-2008-entity-mention-model-coreference-resolution/) — Xiaofeng Yang, Jian Su, Jun Lang, et al. · 2008