Fetching the paper…
Reading the bibliography…
The rapid advancement of artificial intelligence (AI) has highlighted ChatGPT as a pivotal technology in the field of information retrieval (IR).
T. Brown, B. Mann, N. Ryder, M. Subbiah, J.D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell et al., Language Models Are Few-shot Learners, Advances in neural information processing systems
1901
Earlier work this paper cites.
S.E. Robertson, S. Walker, S. Jones, M.M. Hancock-Beaulieu, M. Gatford et al., Okapi at TREC-3, Nist Special Publication Sp
1995
Earlier work this paper cites.
J. Cowie and W. Lehnert, Information Extraction, Communications of the ACM
1996
Earlier work this paper cites.
Y. Bengio, R. Ducharme and P. Vincent, A Neural Probabilistic Language Model, Advances in neural information processing systems
2000
Earlier work this paper cites.
F. Peng, X. Huang, D. Schuurmans and S. Wang, Text Classification in Asian Languages without Word Segmentation, in: Proceedings of the Sixth International Workshop on Information Retrieval with Asian Languages, 2003, Sappro, Japan, July 7, 2003
2003
Earlier work this paper cites.
A. An, Y. Huang, X. Huang and N. Cercone, Feature Selection with Rough Sets for Web Page Classification, Trans. Rough Sets
2004
Earlier work this paper cites.
X. Huang, M. Zhong and L. Si, York University at TREC 2005: Genomics Track, in: Proceedings of the Fourteenth Text REtrieval Conference, TREC 2005, Gaithersburg, Maryland, USA, November 15-18, 2005
2005
Earlier work this paper cites.
X. Huang, Y.R. Huang, M. Wen, A. An, Y. Liu and J. Poon, Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval, in: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China
2006
Earlier work this paper cites.
S. Sarawagi et al., Information Extraction, Foundations and Trends® in Databases
2008
Earlier work this paper cites.
M. Lupu, J.X. Huang, J. Zhu and J. Tait, TREC-CHEM: Large Scale Chemical Information Retrieval Evaluation at TREC, SIGIR Forum
2009
Earlier work this paper cites.
M. Lupu, F. Piroi, X. Huang, J. Zhu and J. Tait, Overview of the TREC 2009 Chemical IR Track, in: Proceedings of The Eighteenth Text REtrieval Conference, TREC 2009, Gaithersburg, Maryland, USA, November 17-20, 2009
2009
Earlier work this paper cites.
X. Huang and Q. Hu, A Bayesian Learning Approach to Promoting Diversity in Ranking for Biomedical Information Retrieval, in: Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009, Boston, MA, USA, July 19-23, 2009
2009
Earlier work this paper cites.
T.-Y. Liu et al., Learning to Rank for Information Retrieval, Foundations and Trends® in Information Retrieval
2009
Earlier work this paper cites.
Z. Ye, J.X. Huang and H. Lin, Finding a good query-related topic for boosting pseudo-relevance feedback, J. Assoc. Inf. Sci. Technol
2011
Earlier work this paper cites.
J. Zhao, J.X. Huang and B. He, CRTER: Using Cross Terms to Enhance Probabilistic Information Retrieval, in: Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011
2011
Earlier work this paper cites.
J.X. Huang, J. Miao and B. He, High Performance Query Expansion Using Adaptive Co-training, Inf. Process. Manag
2012
Earlier work this paper cites.
W.-T. Balke, Introduction to Information Extraction: Basic Notions and Current Trends, Datenbank-Spektrum
2012
Earlier work this paper cites.
X. Yin, J.X. Huang, Z. Li and X. Zhou, A Survival Modeling Approach to Biomedical Search Result Diversification Using Wikipedia, IEEE Trans. Knowl. Data Eng
2012
Earlier work this paper cites.
J. Piskorski and R. Yangarber, Information Extraction: Past, Present and Future, Multi-source, multilingual information extraction and summarization
2013
Earlier work this paper cites.
J. Zhao, J.X. Huang and Z. Ye, Modeling Term Associations for Probabilistic Information Retrieval, ACM Trans. Inf. Syst
2014
Earlier work this paper cites.
K. Wang, Q. Yin, W. Wang, S. Wu and L. Wang, A Comprehensive Survey on Cross-modal Retrieval, arXiv preprint arXiv: 1607.06215
2016
Earlier work this paper cites.
J. Schulman, F. Wolski, P. Dhariwal, A. Radford and O. Klimov, Proximal Policy Optimization Algorithms, arXiv preprint arXiv: 1707.06347
2017
Earlier work this paper cites.
Q. Chen, Q. Hu, J.X. Huang, L. He and W. An, Enhancing Recurrent Neural Networks with Positional Attention for Question Answering, in: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017
2017
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A.N. Gomez, Ł. Kaiser and I. Polosukhin, Attention Is All You Need, Advances in neural information processing systems
2017
Earlier work this paper cites.
J. Gu, Z. Wang, J. Kuen, L. Ma, A. Shahroudy, B. Shuai, T. Liu, X. Wang, G. Wang, J. Cai et al., Recent Advances in Convolutional Neural Networks, Pattern recognition
2018
Earlier work this paper cites.
K. Lee, O. Firat, A. Agarwal, C. Fannjiang and D. Sussillo, Hallucinations in Neural Machine Translation (2018)
2018
Earlier work this paper cites.
R. Guidotti, A. Monreale, S. Ruggieri, F. Turini, F. Giannotti and D. Pedreschi, A Survey of Methods for Explaining Black Box Models, ACM computing surveys (CSUR)
2018
Earlier work this paper cites.
J. Devlin, M. Chang, K. Lee and K. Toutanova, BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers)
2019
Earlier work this paper cites.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever et al., Language Models Are Unsupervised Multitask Learners, OpenAI blog
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
Z. Yang, Z. Dai, Y. Yang, J.G. Carbonell, R. Salakhutdinov and Q.V. Le, XLNet: Generalized Autoregressive Pretraining for Language Understanding., in: Conference on Neural Information Processing Systems (NeurIPS)
2019
Earlier work this paper cites.
A. Sherstinsky, Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network, Physica A: Statistical Mechanics And Its Applications
2019
Earlier work this paper cites.
K. Adnan and R. Akbar, An analytical Study of Information Extraction from Unstructured and Multidimensional Big Data, Journal of Big Data
2019
Earlier work this paper cites.
J. Zhou, Q. Chen, J.X. Huang, Q.V. Hu and L. He, Position-aware Hierarchical Transfer Model for Aspect-level Sentiment Classification, Inf. Sci
2019
Earlier work this paper cites.
L. Yao, C. Mao and Y. Luo, Graph convolutional networks for text classification, in: Proceedings of the AAAI conference on artificial intelligence
2019
Earlier work this paper cites.
R. Nogueira, W. Yang, K. Cho and J. Lin, Multi-stage document ranking with BERT, CoRR
2019
Earlier work this paper cites.
S.C. Geyik, S. Ambler and K. Kenthapadi, Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search, in: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
2019
Cited alongside, same era.
R. Gao and C. Shah, How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information Retrieval, in: Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval
2019
Cited alongside, same era.
F. Xu, H. Uszkoreit, Y. Du, W. Fan, D. Zhao and J. Zhu, Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges, in: Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9–14, 2019, Proceedings, Part II 8
2019
Cited alongside, same era.
H. Zamani, S. Dumais, N. Craswell, P. Bennett and G. Lueck, Generating Clarifying Questions for Information Retrieval, in: Proceedings of The Web Conference 2020
T. Wei, L. Zhao, L. Zhang, B. Zhu, L. Wang, H. Yang, B. Li, C. Cheng, W. Lü, R. Hu, C. Li, L. Yang, X. Luo, X. Wu, L. Liu, W. Cheng, P. Cheng, J. Zhang, X. Zhang, L. Lin, X. Wang, Y. Ma, C. Dong, Y. Sun, Y. Chen, Y. Peng, X. Liang, S. Yan, H. Fang and Y. Zhou, Skywork: A More Open Bilingual Foundation Model, 2023
2023
Later among the works it cites.
Y. Li, Z. Li, K. Zhang, R. Dan, S. Jiang and Y. Zhang, ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge, CUREUS
2023
Later among the works it cites.
J.S. Park, J.C. O’Brien, C.J. Cai, M.R. Morris, P. Liang and M.S. Bernstein, Generative Agents: Interactive Simulacra of Human Behavior, arXiv preprint arXiv: Arxiv-2304.03442
2023
Later among the works it cites.
M.T.R. Laskar, M.S. Bari, M. Rahman, M.A.H. Bhuiyan, S. Joty and J.X. Huang, A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets, in: Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2020
Cited alongside, same era.
M.T.R. Laskar, J.X. Huang and E. Hoque, Contextualized Embeddings Based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task, in: Proceedings of The 12th Language Resources and Evaluation Conference, LREC 2020, Marseille, France, May 11-16, 2020
2020
Cited alongside, same era.
V. Karpukhin, B. Oğuz, S. Min, P. Lewis, L.Y. Wu, S. Edunov, D. Chen and W.-t. Yih, Dense Passage Retrieval for Open-Domain Question Answering, Conference on Empirical Methods in Natural Language Processing
2020
Cited alongside, same era.
L. Zou, L. Xia, Y. Gu, X. Zhao, W. Liu, J.X. Huang and D. Yin, Neural Interactive Collaborative Filtering, in: Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
2020
Cited alongside, same era.
W. Cao, W. Feng, Q. Lin, G. Cao and Z. He, A Review of Hashing Methods for Multimodal Retrieval, IEEE Access
2020
Cited alongside, same era.
M. Danilevsky, K. Qian, R. Aharonov, Y. Katsis, B. Kawas and P. Sen, A Survey of the State of Explainable AI for Natural Language Processing, in: Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2020, Suzhou, China, December 4-7, 2020
2020
Cited alongside, same era.
2020
Cited alongside, same era.
L. Xue, N. Constant, A. Roberts, M. Kale, R. Al-Rfou, A. Siddhant, A. Barua and C. Raffel, mT5: A Massively Multilingual Pre-trained Text-to-text Transformer, 2021
2021
Cited alongside, same era.
Y. Sun, S. Wang, S. Feng, S. Ding, C. Pang, J. Shang, J. Liu, X. Chen, Y. Zhao, Y. Lu, W. Liu, Z. Wu, W. Gong, J. Liang, Z. Shang, P. Sun, W. Liu, X. Ouyang, D. Yu, H. Tian, H. Wu and H. Wang, ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation, 2021
2021
Cited alongside, same era.
2023
Later among the works it cites.
I. Jahan, M.T.R. Laskar, C. Peng and J.X. Huang, Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers, in: The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, BioNLP@ACL 2023, Toronto, Canada, 13 July 2023
2023
Later among the works it cites.
M.T.R. Laskar, M. Rahman, I. Jahan, E. Hoque and J. Huang, Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization, in: Findings of The Association for Computational Linguistics: EMNLP 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
M. Soni and V. Wade, Comparing Abstractive Summaries Generated by ChatGPT to Real Summaries Through Blinded Reviewers and Text Classification Algorithms, arXiv preprint arXiv: 2303.17650
2023
Later among the works it cites.
X. Chen, J. Ye, C. Zu, N. Xu, R. Zheng, M. Peng, J. Zhou, T. Gui, Q. Zhang and X. Huang, How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks, arXiv preprint arXiv: 2303.00293
2023
Later among the works it cites.
2023
Later among the works it cites.
B. Zhao, W. Jin, J. Ser and G. Yang, ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification, NEUROCOMPUTING
2023
Later among the works it cites.
F. Gilardi, M. Alizadeh and M. Kubli, ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks, Proceedings of the National Academy of Sciences of the United States of America
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Y. Huang and J. Huang, Diversified Prior Knowledge Enhanced General Language Model for Biomedical Information Retrieval, in: ECAI 2023 - 26th European Conference on Artificial Intelligence
2023
Later among the works it cites.
L. Wang, N. Yang and F. Wei, Query2doc: Query Expansion with Large Language Models, arXiv preprint arXiv: 2303.07678
2023
Later among the works it cites.
K. Keyvan and J.X. Huang, How to Approach Ambiguous Queries in Conversational Search: A Survey of Techniques, Approaches, Tools, and Challenges, ACM Comput. Surv
2023
Later among the works it cites.
J. Zou, J.X. Huang, Z. Ren and E. Kanoulas, Learning to Ask: Conversational Product Search via Representation Learning, ACM Trans. Inf. Syst
2023
Later among the works it cites.
R. Zhao, H. Chen, W. Wang, F. Jiao, X.L. Do, C. Qin, B. Ding, X. Guo, M. Li, X. Li and S. Joty, Retrieving Multimodal Information for Augmented Generation: A Survey, arXiv preprint arXiv: 2303.10868
2023
Later among the works it cites.
S. Hofstätter, J. Chen, K. Raman and H. Zamani, FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation, in: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
2023
Later among the works it cites.
M. Yasunaga, A. Aghajanyan, W. Shi, R. James, J. Leskovec, P. Liang, M. Lewis, L. Zettlemoyer and W. Yih, Retrieval-Augmented Multimodal Language Modeling, in: International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA
2023
Later among the works it cites.
J. Li, H. Li, Z. Pan and G. Pan, Prompt ChatGPT In MNER: Improved multimodal named entity recognition method based on auxiliary refining knowledge from ChatGPT, arXiv preprint arXiv: 2305.12212
2023
Later among the works it cites.
OpenAI, GPT-4V(ision) System Card, PREPRINT
2023
Later among the works it cites.
W. Wang, X. Lin, F. Feng, X. He and T.-S. Chua, Generative Recommendation: Towards Next-generation Recommender Paradigm, arXiv preprint arXiv: 2304.03516
2023
Later among the works it cites.
J. Li, A. Dada, J. Kleesiek and J. Egger, ChatGPT in Healthcare: A Taxonomy and Systematic Review, medRxiv
2023
Later among the works it cites.
H. Huang, O. Zheng, D. Wang, J. Yin, Z. Wang, S. Ding, H. Yin, C. Xu, R. Yang, Q. Zheng et al., ChatGPT for Shaping The Future of Dentistry: The Potential of Multi-modal Large Language Model, International Journal of Oral Science
2023
Later among the works it cites.
2023
Later among the works it cites.
M. Sallam, ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on The Promising Perspectives and Valid Concerns, in: Healthcare
2023
Later among the works it cites.
T.Y. Zhuo, Y. Huang, C. Chen and Z. Xing, Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity, arXiv preprint arXiv: 2301.12867
2023
Later among the works it cites.
B. Dash and P. Sharma, Are ChatGPT and Deepfake Algorithms Endangering The Cybersecurity Industry? A Review, International Journal of Engineering and Applied Sciences
2023
Later among the works it cites.
P.P. Ray, ChatGPT: A Comprehensive Review on Background, Applications, Key Challenges, Bias, Ethics, Limitations and Future scope, Internet of Things and Cyber-Physical Systems
2023
Later among the works it cites.
S. Bills, N. Cammarata, D. Mossing, H. Tillman, L. Gao, G. Goh, I. Sutskever, J. Leike, J. Wu and W. Saunders, Language Models Can Explain Neurons in Language Models, URL https://openaipublic.blob.core.windows.net/neuron-explainer/paper/index.html.(Date accessed: 14.05. 2023)
2023
Later among the works it cites.