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Liang Pang
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Text matching as image recognition
L Pang, Y Lan, J Guo, J Xu, S Wan, X Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
6512016
A deep look into neural ranking models for information retrieval
J Guo, Y Fan, L Pang, L Yang, Q Ai, H Zamani, C Wu, WB Croft, X Cheng
Information Processing & Management 57 (6), 102067, 2020
4372020
A deep architecture for semantic matching with multiple positional sentence representations
S Wan, Y Lan, J Guo, J Xu, L Pang, X Cheng
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
4332016
DeepRank: A new deep architecture for relevance ranking in information retrieval
L Pang, Y Lan, J Guo, J Xu, J Xu, X Cheng
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
2642017
Match-srnn: Modeling the recursive matching structure with spatial rnn
S Wan, Y Lan, J Xu, J Guo, L Pang, X Cheng
arXiv preprint arXiv:1604.04378, 2016
1992016
Recosa: Detecting the relevant contexts with self-attention for multi-turn dialogue generation
H Zhang, Y Lan, L Pang, J Guo, X Cheng
arXiv preprint arXiv:1907.05339, 2019
1392019
SetRank: Learning a permutation-invariant ranking model for information retrieval
L Pang, J Xu, Q Ai, Y Lan, X Cheng, J Wen
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
1352020
A Study of MatchPyramid Models on Ad-hoc Retrieval.
L Pang, Y Lan, J Guo, J Xu, X Cheng
Neu-IR '16 SIGIR Workshop on Neural Information Retrieval, 2016
1062016
Beyond factoid QA: effective methods for non-factoid answer sentence retrieval
L Yang, Q Ai, D Spina, RC Chen, L Pang, WB Croft, J Guo, F Scholer
Advances in Information Retrieval: 38th European Conference on IR Research …, 2016
922016
Search-in-the-chain: Interactively enhancing large language models with search for knowledge-intensive tasks
S Xu, L Pang, H Shen, X Cheng, TS Chua
Proceedings of the ACM Web Conference 2024, 1362-1373, 2024
82*2024
Matchzoo: A toolkit for deep text matching
Y Fan, L Pang, JP Hou, J Guo, Y Lan, X Cheng
arXiv preprint arXiv:1707.07270, 2017
632017
Hallucidoctor: Mitigating hallucinatory toxicity in visual instruction data
Q Yu, J Li, L Wei, L Pang, W Ye, B Qin, S Tang, Q Tian, Y Zhuang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
602024
Bias and unfairness in information retrieval systems: New challenges in the llm era
S Dai, C Xu, S Xu, L Pang, Z Dong, J Xu
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
53*2024
LLMDet: A Third Party Large Language Models Generated Text Detection Tool
K Wu, L Pang, H Shen, X Cheng, TS Chua
Findings of the Association for Computational Linguistics: EMNLP 2023, 2113-2133, 2023
49*2023
Has-qa: Hierarchical answer spans model for open-domain question answering
L Pang, Y Lan, J Guo, J Xu, L Su, X Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6875-6882, 2019
462019
Adaptive information seeking for open-domain question answering
Y Zhu, L Pang, Y Lan, H Shen, X Cheng
arXiv preprint arXiv:2109.06747, 2021
432021
深度文本匹配综述 (A survey on deep text matching)
L Pang, YY Lan, J Xu, J Guo, SX Wan, X Cheng
Chinese Journal of Computers 40 (4), 985-1003, 2017
40*2017
Retrieve only when it needs: Adaptive retrieval augmentation for hallucination mitigation in large language models
H Ding, L Pang, Z Wei, H Shen, X Cheng
arXiv preprint arXiv:2402.10612, 2024
372024
Llms may dominate information access: Neural retrievers are biased towards llm-generated texts
S Dai, Y Zhou, L Pang, W Liu, X Hu, Y Liu, X Zhang, J Xu
arXiv preprint arXiv:2310.20501, 2023
36*2023
Modeling topical relevance for multi-turn dialogue generation
H Zhang, Y Lan, L Pang, H Chen, Z Ding, D Yin
arXiv preprint arXiv:2009.12735, 2020
322020
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