Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models Paper • 2502.13313 • Published Feb 9
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications Paper • 2407.19262 • Published Jul 27, 2024
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective Paper • 2604.23267 • Published May 18
In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations Paper • 2602.15456 • Published Feb 17
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction Paper • 2404.12957 • Published Apr 19, 2024
Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs Paper • 2507.21914 • Published Jul 29, 2025