James Flemings

According to our database1, James Flemings authored at least 13 papers between 2024 and 2026.

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

2026
PrivacySIM: Evaluating LLM Simulation of User Privacy Behavior.
CoRR, May, 2026

Differentially Private Retrieval-Augmented Generation.
CoRR, February, 2026

Memory-Efficient Differentially Private Training with Gradient Random Projection.
Trans. Mach. Learn. Res., 2026

2025
Personalizing Agent Privacy Decisions via Logical Entailment.
CoRR, December, 2025

Hubble: a Model Suite to Advance the Study of LLM Memorization.
CoRR, October, 2025

TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability.
CoRR, July, 2025

Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs.
CoRR, January, 2025

TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Characterizing Context Influence and Hallucination in Summarization.
CoRR, 2024

Adaptively Private Next-Token Prediction of Large Language Models.
CoRR, 2024

Differentially Private Next-Token Prediction of Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Differentially Private Knowledge Distillation via Synthetic Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024


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