Sheng-Chieh Lin
Orcid: 0000-0002-7989-9703
According to our database1,
Sheng-Chieh Lin
authored at least 36 papers
between 2011 and 2024.
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Bibliography
2024
Synergistic Approach for Simultaneous Optimization of Monolingual, Cross-lingual, and Multilingual Information Retrieval.
CoRR, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
ACM Trans. Inf. Syst., October, 2023
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval.
Trans. Assoc. Comput. Linguistics, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
mAggretriever: A Simple yet Effective Approach to Zero-Shot Multilingual Dense Retrieval.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Aggretriever: A Simple Approach to Aggregate Textual Representation for Robust Dense Passage Retrieval.
CoRR, 2022
Proceedings of the Thirty-First Text REtrieval Conference, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting.
ACM Trans. Inf. Syst., 2021
CoRR, 2021
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations.
CoRR, 2021
A Learning Framework with Disposable Auxiliary Networks for Early Prediction of Product Success.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate.
CoRR, 2020
CoRR, 2020
Query Reformulation using Query History for Passage Retrieval in Conversational Search.
CoRR, 2020
Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models.
CoRR, 2020
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019
2013
2011