Jing Lu

Orcid: 0000-0003-1076-7662

Affiliations:
  • Google Inc, Mountain View, CA, USA


According to our database1, Jing Lu authored at least 12 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Tomato, Tomahto, Tomate: Do Multilingual Language Models Understand Based on Subword-Level Semantic Concepts?
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024
Tomato, Tomahto, Tomate: Measuring the Role of Shared Semantics among Subwords in Multilingual Language Models.
CoRR, 2024

HYRR: Hybrid Infused Reranking for Passage Retrieval.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning List-Level Domain-Invariant Representations for Ranking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Promptagator: Few-shot Dense Retrieval From 8 Examples.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Large Dual Encoders Are Generalizable Retrievers.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models.
Proceedings of the Advances in Information Retrieval, 2022

Zero-shot Hybrid Retrieval and Reranking Models for Biomedical Literature.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Neural Passage Retrieval with Improved Negative Contrast.
CoRR, 2020


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