Pyserini: A Python toolkit for reproducible information retrieval research with sparse and dense representations J Lin, X Ma, SC Lin, JH Yang, R Pradeep, R Nogueira Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 462* | 2021 |
Efficiently teaching an effective dense retriever with balanced topic aware sampling S Hofstätter, SC Lin, JH Yang, J Lin, A Hanbury Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 350 | 2021 |
In-batch negatives for knowledge distillation with tightly-coupled teachers for dense retrieval SC Lin, JH Yang, J Lin Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP …, 2021 | 170 | 2021 |
Distilling dense representations for ranking using tightly-coupled teachers SC Lin, JH Yang, J Lin arXiv preprint arXiv:2010.11386, 2020 | 126 | 2020 |
Multi-stage conversational passage retrieval: An approach to fusing term importance estimation and neural query rewriting SC Lin, JH Yang, R Nogueira, MF Tsai, CJ Wang, J Lin ACM Transactions on Information Systems (TOIS) 39 (4), 1-29, 2021 | 91* | 2021 |
Conversational question reformulation via sequence-to-sequence architectures and pretrained language models SC Lin, JH Yang, R Nogueira, MF Tsai, CJ Wang, J Lin arXiv preprint arXiv:2004.01909, 2020 | 75 | 2020 |
Contextualized query embeddings for conversational search SC Lin, JH Yang, J Lin arXiv preprint arXiv:2104.08707, 2021 | 57 | 2021 |
How to train your dragon: Diverse augmentation towards generalizable dense retrieval SC Lin, A Asai, M Li, B Oguz, J Lin, Y Mehdad, W Yih, X Chen arXiv preprint arXiv:2302.07452, 2023 | 52 | 2023 |
Query and Answer Expansion from Conversation History. JH Yang, SC Lin, CJ Wang, J Lin, MF Tsai TREC, 2019 | 35 | 2019 |
Aggretriever: A simple approach to aggregate textual representations for robust dense passage retrieval SC Lin, M Li, J Lin Transactions of the Association for Computational Linguistics 11, 436-452, 2023 | 21 | 2023 |
CITADEL: Conditional token interaction via dynamic lexical routing for efficient and effective multi-vector retrieval M Li, SC Lin, B Oguz, A Ghoshal, J Lin, Y Mehdad, W Yih, X Chen arXiv preprint arXiv:2211.10411, 2022 | 21 | 2022 |
SLIM: Sparsified late interaction for multi-vector retrieval with inverted indexes M Li, SC Lin, X Ma, J Lin Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 16 | 2023 |
A dense representation framework for lexical and semantic matching SC Lin, J Lin ACM Transactions on Information Systems 41 (4), 1-29, 2023 | 16 | 2023 |
Densifying sparse representations for passage retrieval by representational slicing SC Lin, J Lin arXiv preprint arXiv:2112.04666, 2021 | 13 | 2021 |
Self-attentive sentimental sentence embedding for sentiment analysis SC Lin, WY Su, PC Chien, MF Tsai, CJ Wang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 13 | 2020 |
TREC 2020 Notebook: CAsT Track. SC Lin, JH Yang, J Lin TREC, 2020 | 10 | 2020 |
One blade for one purpose: advancing math information retrieval using hybrid search W Zhong, SC Lin, JH Yang, J Lin Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 9 | 2023 |
Tttttackling winogrande schemas SC Lin, JH Yang, R Nogueira, MF Tsai, CJ Wang, J Lin arXiv preprint arXiv:2003.08380, 2020 | 9 | 2020 |
Chatty goose: A python framework for conversational search E Zhang, SC Lin, JH Yang, R Pradeep, R Nogueira, J Lin Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 7 | 2021 |
Flame: Factuality-aware alignment for large language models SC Lin, L Gao, B Oguz, W Xiong, J Lin, W Yih, X Chen arXiv preprint arXiv:2405.01525, 2024 | 6 | 2024 |