Ji Ma

Orcid: 0009-0009-2102-8209

Affiliations:
  • Google Research, London, UK


According to our database1, Ji Ma authored at least 22 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

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

OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
QAmeleon: Multilingual QA with Only 5 Examples.
Trans. Assoc. Comput. Linguistics, 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
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.
CoRR, 2022

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

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 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

Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

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

RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble.
CoRR, 2020

Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation.
CoRR, 2020

QURIOUS: Question Generation Pretraining for Text Generation.
CoRR, 2020

Hybrid First-stage Retrieval Models for Biomedical Literature.
Proceedings of the Working Notes of CLEF 2020, 2020

2018
State-of-the-art Chinese Word Segmentation with Bi-LSTMs.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
SyntaxNet Models for the CoNLL 2017 Shared Task.
CoRR, 2017

Natural Language Processing with Small Feed-Forward Networks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Generalized Transition-based Dependency Parsing via Control Parameters.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016


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