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Ram Samarth B B

2 accepted papers

2026

FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space

ICML 2026oral

Personalization has become a pivotal field of study in contemporary intelligent systems. While large language models (LLMs) excel at general knowledge tasks, they often struggle with personalization, i.e., adapting their outputs to individual user expectations. Existing approaches that steer LLM beh…

Cited by 0SourceScholar
2025

Hyperbolic Fine-Tuning for Large Language Models

NeurIPS 2025spotlight

Large language models (LLMs) have demonstrated remarkable performance on various tasks. However, it remains an open question whether the default Euclidean space is the most suitable choice for embedding tokens in LLMs. In this study, we investigate the non-Euclidean characteristics of LLMs. O…

Cited by 0SourcecodeScholar