Ting Liu

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 390

Top Venues

Publications

Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu
Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. CoRR (2024)
Bowen Chen, Xiao Ding, Yi Zhao, Bo Fu, Tingmao Lin, Bing Qin, Ting Liu
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? Mach. Intell. Res. 21 (2) (2024)
Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, GongZhang GongZhang, Bing Qin, Ting Liu
AS-ES Learning: Towards efficient CoT learning in small models. ACL (Findings) (2024)
Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. CoRR (2024)
Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. LREC/COLING (2024)
Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu
Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis. CoRR (2024)
Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. LREC/COLING (2024)
Longxuan Ma, Changxin Ke, Shuhan Zhou, Churui Sun, Wei-Nan Zhang, Ting Liu
A Self-verified Method for Exploring Simile Knowledge from Pre-trained Language Models. LREC/COLING (2024)
Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, Bing Qin, Ting Liu
AS-ES Learning: Towards Efficient CoT Learning in Small Models. CoRR (2024)
Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. CoRR (2024)
Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu
Exploring Hybrid Question Answering via Program-based Prompting. ACL (1) (2024)
Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bin Qin, Ting Liu
Relay Decoding: Concatenating Large Language Models for Machine Translation. CoRR (2024)
Tingting Wu, Xiao Ding, Hao Zhang, Minji Tang, Bing Qin, Ting Liu
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement. Neural Networks 176 (2024)
Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. CoRR (2024)
Muzhen Cai, Sendong Zhao, Haochun Wang, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. CoRR (2024)
Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. ACL (1) (2024)
Haochun Wang, Sendong Zhao, Zewen Qiang, Bing Qin, Ting Liu
Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models. CoRR (2024)
Tingting Wu, Xiao Ding, Li Du, Bing Qin, Ting Liu
Reasoning subevent relation over heterogeneous event graph. Knowl. Inf. Syst. 66 (9) (2024)
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. ACL (1) (2024)
Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. CoRR (2024)
Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Minji Tang, Li Du, Bing Qin, Ting Liu
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. IEEE Trans. Multim. 26 (2024)
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qi
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. ACL (Findings) (2024)
Jinglong Gao, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin
Event Causality Identification via Competitive-Cooperative Cognition Networks. Knowl. Based Syst. 300 (2024)
Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. AAAI (2024)
Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. CoRR (2023)
Weinan Zhang, Yiming Cui, Kaiyan Zhang, Yifa Wang, Qingfu Zhu, Lingzhi Li, Ting Liu
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. ACM Trans. Inf. Syst. 41 (1) (2023)
Yushan Qian, Wei-Nan Zhang, Ting Liu
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements. CoRR (2023)
Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. ACL (1) (2023)
Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. EMNLP (Findings) (2023)
Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, Hui Xiong
Graph-Grounded Goal Planning for Conversational Recommendation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Haochun Wang, Chi Liu, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge. CoRR (2023)
Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. ACL (1) (2023)
Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, Muzhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, Bing Qin, Ting Liu
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. CoRR (2023)
Jie Huang, Xiachong Feng, Yangfan Ye, Liang Zhao, Xiaocheng Feng, Bing Qin, Ting Liu
Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5. ICASSP (2023)
Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu
I run as fast as a rabbit, can you? A Multilingual Simile Dialogues Datasets. ACL (Findings) (2023)
Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. CoRR (2023)
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. CoRR (2023)
Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu
I run as fast as a rabbit, can you? A Multilingual Simile Dialogue Dataset. CoRR (2023)
Yushan Qian, Weinan Zhang, Ting Liu
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements. EMNLP (Findings) (2023)
Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. AAAI (2023)
Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. CoRR (2023)
Haoyu Song, Wei-Nan Zhang, Kaiyan Zhang, Ting Liu
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation. ACM Trans. Inf. Syst. 41 (3) (2023)
Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. EMNLP (Findings) (2023)
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. CoRR (2023)
Ziyu Zhuang, Qiguang Chen, Longxuan Ma, Mingda Li, Yi Han, Yushan Qian, Haopeng Bai, Zixian Feng, Weinan Zhang, Ting Liu
Through the Lens of Core Competency: Survey on Evaluation of Large Language Models. CoRR (2023)
Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification. CoRR (2023)
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. ACL (Findings) (2023)
Haoyu Song, Li Dong, Wei-Nan Zhang, Ting Liu, Furu Wei
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment. CoRR (2022)
Yiming Cui, Ziqing Yang, Ting Liu
PERT: Pre-training BERT with Permuted Language Model. CoRR (2022)
Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang
Teaching Machines to Read, Answer and Explain. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Libo Qin, Fuxuan Wei, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, Ting Liu
Multi-domain Spoken Language Understanding Using Domain- and Task-aware Parameterization. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21 (4) (2022)
Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin
A Graph Enhanced BERT Model for Event Prediction. ACL (Findings) (2022)
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. ACL (1) (2022)
Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Li Du, Bing Qin, Ting Liu
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. CoRR (2022)
Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu
CogBERT: Cognition-Guided Pre-trained Language Models. COLING (2022)
Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu
Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic. AAAI (2022)
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. CoRR (2022)
Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Sendong Zhao, Ting Liu
Combining Self-supervised Learning and Active Learning for Disfluency Detection. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21 (3) (2022)
Haoyu Song, Li Dong, Weinan Zhang, Ting Liu, Furu Wei
CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment. ACL (1) (2022)
Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. COLING (2022)
Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu
Transforming Wikipedia Into Augmented Data for Query-Focused Summarization. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Jiaqi Li, Ming Liu, Bing Qin, Ting Liu
A survey of discourse parsing. Frontiers Comput. Sci. 16 (5) (2022)
Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin
A Graph Enhanced BERT Model for Event Prediction. CoRR (2022)
Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. CoRR (2022)
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. EMNLP (2022)
Le Qi, Yu Zhang, Qingyu Yin, Guidong Zheng, Wen Junjie, Jinlong Li, Ting Liu
All Information is Valuable: Question Matching over Full Information Transmission Network. NAACL-HLT (Findings) (2022)
Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. COLING (2022)
Longxuan Ma, Mingda Li, Wei-Nan Zhang, Jiapeng Li, Ting Liu
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey. ACM Trans. Inf. Syst. 40 (1) (2022)
Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. EMNLP (2022)
Le Qi, Yu Zhang, Qingyu Yin, Ting Liu
MS-Transformer: Introduce multiple structural priors into a unified transformer for encoding sentences. Comput. Speech Lang. 72 (2022)
Bo Sun, Baoxin Wang, Wanxiang Che, Dayong Wu, Zhigang Chen, Ting Liu
Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition. CoRR (2022)
Yirong Zeng, Xiao Ding, Li Du, Ting Liu, Bing Qin
CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning. CCKS (2022)
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
Enhancing pretrained language models with structured commonsense knowledge for textual inference. Knowl. Based Syst. 254 (2022)
Yiming Cui, Wanxiang Che, Ziqing Yang, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
Interactive Gated Decoder for Machine Reading Comprehension. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21 (4) (2022)
Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. CoRR (2022)
Bowen Chen, Xiao Ding, Li Du, Bing Qin, Ting Liu
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty? CoRR (2022)
Ziqing Yang, Yiming Cui, Chenglei Si, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings. CoRR (2021)
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang
Pre-Training With Whole Word Masking for Chinese BERT. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. ACL/IJCNLP (1) (2021)
Yiming Cui, Ting Liu, Wanxiang Che, Zhigang Chen, Shijin Wang
ExpMRC: Explainability Evaluation for Machine Reading Comprehension. CoRR (2021)
Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
Biomedical Knowledge Graphs Construction From Conditional Statements. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu
N-LTP: An Open-source Neural Language Technology Platform for Chinese. EMNLP (Demos) (2021)
Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhigang Chen
Understanding Attention in Machine Reading Comprehension. CoRR (2021)
Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei
Consistency Regularization for Cross-Lingual Fine-Tuning. CoRR (2021)
Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Jizhou Huang, Ting Liu
Coherent Dialog Generation with Query Graph. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20 (6) (2021)
Baoxin Wang, Wanxiang Che, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu
Dynamic Connected Networks for Chinese Spelling Check. ACL/IJCNLP (Findings) (2021)
Libo Qin, Tailu Liu, Wanxiang Che, Bingbing Kang, Sendong Zhao, Ting Liu
A Co-Interactive Transformer for Joint Slot Filling and Intent Detection. ICASSP (2021)
Zhongyang Li, Xiao Ding, Kuo Liao, Ting Liu, Bing Qin
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision. CoRR (2021)
Zhongyang Li, Xiao Ding, Ting Liu
TransBERT: A Three-Stage Pre-training Technology for Story-Ending Prediction. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20 (1) (2021)
Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei, Ting Liu
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples. ACL/IJCNLP (Findings) (2021)
Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. CoRR (2021)
Yaqin Geng, Ting Liu, Yu Ding, Wei Liu, Jiayi Ye, Linlin Hu, Li Ruan
Deep Learning-Based Self-Efficacy X-Ray Images in the Evaluation of Rheumatoid Arthritis Combined with Osteoporosis Nursing. Sci. Program. 2021 (2021)
Libo Qin, Wanxiang Che, Minheng Ni, Yangming Li, Ting Liu
Knowing Where to Leverage: Context-Aware Graph Convolutional Network With an Adaptive Fusion Layer for Contextual Spoken Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang
Neural Stylistic Response Generation with Disentangled Latent Variables. ACL/IJCNLP (1) (2021)
Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data. CoRR (2021)
Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin
Heterogeneous graph knowledge enhanced stock market prediction. AI Open 2 (2021)
Xiao Ding, Jihao Shi, Junwen Duan, Bing Qin, Ting Liu
Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process. Sci. China Inf. Sci. 64 (9) (2021)
Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che, Ting Liu
Few-shot Learning for Multi-label Intent Detection. AAAI (2021)
Libo Qin, Fuxuan Wei, Tianbao Xie, Xiao Xu, Wanxiang Che, Ting Liu
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling. ACL/IJCNLP (1) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ting Liu