3 papers
cs.CL2026
When Gradient Importance Lies: Adaptive LoRA Rank Allocation Fails Under GRPO
Yash Ganpat Sawant
Adaptive rank allocation for LoRA - allocating more parameters to important layers and fewer to unimportant ones - consistently improves efficiency under supervised fine-tuning (SF…
cs.CL2026
Theory-Grounded Evaluation Exposes the Authorship Gap in LLM Personalization
Yash Ganpat Sawant
Stylistic personalization - making LLMs write in a specific individual's style, rather than merely adapting to task preferences - lacks evaluation grounded in authorship science. W…
cs.CL2026
High-Stakes Personalization: Rethinking LLM Customization for Individual Investor Decision-Making
Yash Ganpat Sawant
Personalized LLM systems have advanced rapidly, yet most operate in domains where user preferences are stable and ground truth is either absent or subjective. We argue that individ…