Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models
Paper • 2502.13313 • Published
Bishwamittra Ghosh
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authored a paper 25 days ago
Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models authored a paper 25 days ago
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications authored a paper 25 days ago
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning PerspectiveOrganizations
authored 6
papers 25 days ago
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications
Paper • 2407.19262 • Published
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective
Paper • 2604.23267 • Published
In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations
Paper • 2602.15456 • Published
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction
Paper • 2404.12957 • Published
Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs
Paper • 2507.21914 • Published