Jie Ma

Affiliations:
  • AWS AI Labs, Amazon AI


According to our database1, Jie Ma authored at least 15 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

On csauthors.net:

Bibliography

2025
Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge.
CoRR, August, 2025

Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Detecting Training Data of Large Language Models via Expectation Maximization.
CoRR, 2024

Active Evaluation Acquisition for Efficient LLM Benchmarking.
CoRR, 2024

General Purpose Verification for Chain of Thought Prompting.
CoRR, 2024

2023
Benchmarking Diverse-Modal Entity Linking with Generative Models.
CoRR, 2023

Comparing Biases and the Impact of Multilingual Training across Multiple Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Taxonomy Expansion for Named Entity Recognition.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Benchmarking Diverse-Modal Entity Linking with Generative Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Label Semantics for Few Shot Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2020
Resource-Enhanced Neural Model for Event Argument Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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