---
title: "Ting Liu — all works — Elamur Research"
description: "All 60 works of Ting Liu in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Ting Liu — all works

60 works · [← Ting Liu](https://md.research.elamur.ai/free/en/authors/ting-liu/)

1. **[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/) [ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)**Lei Huang, Weijiang Yu, Weitao Ma, et al.*2023 · 3,231 citations*
2. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhangyin Feng, Daya Guo, Duyu Tang, et al.*2020 · 2,967 citations*
3. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Duyu Tang, Bing Qin, Ting Liu*2015 · 1,686 citations*
4. **[Pre-Training with Whole Word Masking for Chinese BERT](https://md.research.elamur.ai/free/en/papers/cui-2019-pre-training-whole-word-masking/) [IEEE/ACM Transactions on Audio Speech and Language Processing](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/)**Yiming Cui, Wanxiang Che, Ting Liu, et al.*2019 · 1,490 citations*
5. **[Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2014-learning-sentiment-specific-word-embedding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Duyu Tang, Furu Wei, Nan Yang, et al.*2014 · 1,346 citations*
6. **[Aspect Level Sentiment Classification with Deep Memory Network](https://md.research.elamur.ai/free/en/papers/tang-2016-aspect-level-sentiment-classification-deep/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Duyu Tang, Bing Qin, Ting Liu*2016 · 1,197 citations*
7. [**Revisiting Pre-Trained Models for Chinese Natural Language Processing arXiv:2004.13922**Yiming Cui, Wanxiang Che, Ting Liu, et al.*2020 · 790 citations*](https://md.research.elamur.ai/free/en/papers/cui-2020-revisiting-pre-trained-models-chinese/)
8. **[Effective LSTMs for Target-Dependent Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2016-effective-lstms-target-dependent-sentiment/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Duyu Tang, Bing Qin, Xiaocheng Feng, et al.*2016 · 697 citations*
9. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Libo Qin, Wanxiang Che, Yangming Li, et al.*2019 · 385 citations*
10. **[Learning Semantic Hierarchies via Word Embeddings](https://md.research.elamur.ai/free/en/papers/fu-2014-learning-semantic-hierarchies-word-embeddings/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruiji Fu, Jiang Guo, Bing Qin, et al.*2014 · 327 citations*
11. **[Cross-lingual Dependency Parsing Based on Distributed Representations](https://md.research.elamur.ai/free/en/papers/guo-2015-cross-lingual-dependency-parsing-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiang Guo, Wanxiang Che, David Yarowsky, et al.*2015 · 269 citations*
12. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yutai Hou, Wanxiang Che, Yongkui Lai, et al.*2020 · 265 citations*
13. **[Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting ↗](https://aclanthology.org/2020.emnlp-main.634/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Sanyuan Chen et al.*2020 · 257 citations*
14. **[Towards Conversational Recommendation over Multi-Type Dialogs](https://md.research.elamur.ai/free/en/papers/liu-2020-conversational-recommendation-over-multi-type/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zeming Liu, Haifeng Wang, Zheng-Yu Niu, et al.*2020 · 230 citations*
15. **[A Language-Independent Neural Network for Event Detection](https://md.research.elamur.ai/free/en/papers/feng-2016-language-independent-neural-network-event/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaocheng Feng, Lifu Huang, Duyu Tang, et al.*2016 · 226 citations*
16. **[Application-driven Statistical Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/zhao-2009-application-driven-statistical-paraphrase-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shiqi Zhao, Xiang Lan, Ting Liu, et al.*2009 · 186 citations*
17. [**HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge arXiv:2304.06975**Haochun Wang, Chi Liu, Nuwa Xi, et al.*2023 · 171 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-huatuo-tuning-llama-model-chinese/)
18. **[N-LTP: An Open-source Neural Language Technology Platform for Chinese ↗](https://aclanthology.org/2021.emnlp-demo.6/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yet**Wanxiang Che et al.*2021 · 162 citations*
19. [**A Span-Extraction Dataset for Chinese Machine Reading Comprehension arXiv:1810.07366 · EMNLP 2019 5886-5891**Yiming Cui, Ting Liu, Wanxiang Che, et al.*2018 · 160 citations*](https://md.research.elamur.ai/free/en/papers/cui-2018-span-extraction-dataset-chinese/)
20. **[Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing](https://md.research.elamur.ai/free/en/papers/wang-2019-cross-lingual-bert-transformation-zero/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuxuan Wang, Wanxiang Che, Jiang Guo, et al.*2019 · 153 citations*
21. **[BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data](https://md.research.elamur.ai/free/en/papers/song-2021-bob-bert-over-bert-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoyu Song, Yan Wang, Kaiyan Zhang, et al.*2021 · 149 citations*
22. **[CharBERT: Character-aware Pre-trained Language Model ↗](https://aclanthology.org/2020.coling-main.4/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Wentao Ma et al.*2020 · 145 citations*
23. **[Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure](https://md.research.elamur.ai/free/en/papers/li-2020-molweni-challenge-multiparty-dialogues-based/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Jiaqi Li, Ming Liu, Min-Yen Kan, et al.*2020 · 141 citations*
24. [**Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future arXiv:2309.15402**Zheng Chu, Jingchang Chen, Qianglong Chen, et al.*2023 · 125 citations*](https://md.research.elamur.ai/free/en/papers/chu-2023-navigate-through-enigmatic-labyrinth-survey/)
25. **[Pivot Approach for Extracting Paraphrase Patterns from Bilingual Corpora ↗](https://aclanthology.org/P08-1089/) Proceedings of ACL-08: HLT · no summary yet**Shiqi Zhao et al.*2008 · 120 citations*
26. **[Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization ↗](https://aclanthology.org/2021.acl-long.117/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Xiachong Feng et al.*2021 · 119 citations*
27. **[DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification](https://md.research.elamur.ai/free/en/papers/qin-2020-dcr-net-deep-co-interactive/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Libo Qin, Wanxiang Che, Yangming Li, et al.*2020 · 105 citations*
28. **[Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate](https://md.research.elamur.ai/free/en/papers/xiong-2023-examining-inter-consistency-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Xiong, Xiao Ding, Yixin Cao, et al.*2023 · 94 citations*
29. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaofeng Yang, Jian Su, Jun Lang, et al.*2008 · 94 citations*
30. **[Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding](https://md.research.elamur.ai/free/en/papers/hou-2018-sequence-sequence-data-augmentation-dialogue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yutai Hou, Yijia Liu, Wanxiang Che, et al.*2018 · 88 citations*
31. **[Semantic Parsing with Syntax- and Table-Aware SQL Generation ↗](https://aclanthology.org/P18-1034/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yibo Sun et al.*2018 · 88 citations*
32. **[Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification](https://md.research.elamur.ai/free/en/papers/qin-2020-co-gat-co-interactive-graph/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Libo Qin, Zhouyang Li, Wanxiang Che, et al.*2020 · 85 citations*
33. **[Event Representation Learning Enhanced with External Commonsense Knowledge ↗](https://aclanthology.org/D19-1495/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Xiao Ding et al.*2019 · 84 citations*
34. **[Deep Reinforcement Learning for Chinese Zero Pronoun Resolution](https://md.research.elamur.ai/free/en/papers/yin-2018-deep-reinforcement-learning-chinese-zero/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Yin, Yu Zhang, Wei-Nan Zhang, et al.*2018 · 67 citations*
35. **[An AMR Aligner Tuned by Transition-based Parser ↗](https://aclanthology.org/D18-1264/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yijia Liu et al.*2018 · 66 citations*
36. **[Chinese Zero Pronoun Resolution with Deep Memory Network](https://md.research.elamur.ai/free/en/papers/yin-2017-chinese-zero-pronoun-resolution-deep/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingyu Yin, Yu Zhang, Weinan Zhang, et al.*2017 · 55 citations*
37. **[Zero Pronoun Resolution with Attention-based Neural Network](https://md.research.elamur.ai/free/en/papers/yin-2018-zero-pronoun-resolution-attention-based/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Qingyu Yin, Yu Zhang, Weinan Zhang, et al.*2018 · 44 citations*
38. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ting Liu, Yiming Cui, Qingyu Yin, et al.*2017 · 37 citations*
39. [**Through the Lens of Core Competency: Survey on Evaluation of Large Language Models arXiv:2308.07902**Ziyu Zhuang, Qiguang Chen, Longxuan Ma, et al.*2023 · 35 citations*](https://md.research.elamur.ai/free/en/papers/zhuang-2023-through-lens-core-competency-survey/)
40. **[LLMs May Perform MCQA by Selecting the Least Incorrect Option](https://md.research.elamur.ai/free/en/papers/wang-2025-llms-may-perform-mcqa-selecting/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Haochun Wang, Sendong Zhao, Zewen Qiang, et al.*2025 · 24 citations*
41. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nuwa Xi, Sendong Zhao, Haochun Wang, et al.*2023 · 23 citations*
42. **[Paraphrasing with Search Engine Query Logs ↗](https://aclanthology.org/C10-1148/) Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010) · no summary yet**Shiqi Zhao, Haifeng Wang, Ting Liu*2010 · 22 citations*
43. **[Investigating the Portability of Corpus-Derived Cue Phrases for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/webb-2008-investigating-portability-corpus-derived-cue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Nick Webb, Ting Liu*2008 · 21 citations*
44. **[HIT: Web based Scoring Method for English Lexical Substitution](https://md.research.elamur.ai/free/en/papers/zhao-2007-hit-web-based-scoring-method/) [International Workshop on Semantic Evaluations](https://md.research.elamur.ai/free/en/venues/international-workshop-on-semantic-evaluations/)**Shiqi Zhao, Lin Zhao, Yu Zhang, et al.*2007 · 20 citations*
45. **[HIT-IR-WSD: A WSD System for English Lexical Sample Task](https://md.research.elamur.ai/free/en/papers/guo-2007-hit-ir-wsd-wsd-system/) [International Workshop on Semantic Evaluations](https://md.research.elamur.ai/free/en/venues/international-workshop-on-semantic-evaluations/)**Yuhang Guo, Wanxiang Che, Yuxuan Hu, et al.*2007 · 12 citations*
46. **[AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender](https://md.research.elamur.ai/free/en/papers/zhao-2025-adasteer-your-aligned-llm-is/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Weixiang Zhao, Jiahe Guo, Yulin Hu, et al.*2025 · 11 citations*
47. **[Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs](https://md.research.elamur.ai/free/en/papers/zhao-2025-beware-your-po-measuring-mitigating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weixiang Zhao, Yulin Hu, Yang Deng, et al.*2025 · 9 citations*
48. **[Cross-Domain Dialogue Act Tagging](https://md.research.elamur.ai/free/en/papers/webb-2008-cross-domain-dialogue-act-tagging/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nick Webb, Ting Liu, Mark Hepple, et al.*2008 · 9 citations*
49. [**A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples**Yuxuan Wang, Wanxiang Che, Ivan Titov, et al.*English · 8 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-closer-look-into-robustness-neural/)
50. **[MPO: Multilingual Safety Alignment via Reward Gap Optimization](https://md.research.elamur.ai/free/en/papers/zhao-2025-mpo-multilingual-safety-alignment-reward/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weixiang Zhao, Yulin Hu, Yang Deng, et al.*2025 · 7 citations*
51. **[User Behaviors Lend a Helping Hand: Learning Paraphrase Query Patterns from Search Log Sessions ↗](https://aclanthology.org/C12-1192/) Proceedings of COLING 2012 · no summary yet**Shiqi Zhao, Haifeng Wang, Ting Liu*2012 · 2 citations*
52. **[MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization](https://md.research.elamur.ai/free/en/papers/zhao-2026-maestro-meta-learning-adaptive-estimation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Zhao, Hepeng Wang, Xiao Ding, et al.*2026 · 1 citation*
53. **[On Safety Risks in Experience-Driven Self-Evolving Agents](https://md.research.elamur.ai/free/en/papers/zhao-2026-safety-risks-experience-driven-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weixiang Zhao, Yichen Zhang, Yingshuo Wang, et al.*2026 · 1 citation*
54. **[Beyond Uniform SVD: Dual-Level Optimization across Columns and Modules for LLM Compression](https://md.research.elamur.ai/free/en/papers/xv-2026-beyond-uniform-svd-dual-level/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lin Xv, Xian Gao, Ting Liu, et al.*2026*
55. **[Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration](https://md.research.elamur.ai/free/en/papers/zhao-2026-consolidation-or-adaptation-prism-disentangling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Zhao, Yangou Ouyang, Xiao Ding, et al.*2026*
56. **[FAER: Benchmarking VLMs for Failure-Aware Embodied Reasoning](https://md.research.elamur.ai/free/en/papers/song-2026-faer-benchmarking-vlms-failure-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Song, Kaifeng Liu, Yuanxing Liu, et al.*2026*
57. **[Large Language Models Are Still Misled by Simple Bias Ensembles](https://md.research.elamur.ai/free/en/papers/sun-2026-large-language-models-are-still/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhouhao Sun, Zhiyuan Kan, Xiao Ding, et al.*2026*
58. **[MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-mdc-bench-multidisciplinary-causal-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peng Wang, Yuxiong Yan, Xiao Ding, et al.*2026*
59. **[Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression](https://md.research.elamur.ai/free/en/papers/zhao-2026-question-tells-you-where-answer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang Zhao, Xiaocheng Feng, Weihong Zhong, et al.*2026*
60. **[TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles](https://md.research.elamur.ai/free/en/papers/zeng-2026-tinyjudge-unverifiable-constraint-alignment-lightweight/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yirong Zeng, Yufei Liu, Xiao Ding, et al.*2026*