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cs.LG2026
SIEVE: Sample-Efficient Parametric Learning from Natural Language
Parth Asawa, Alexandros G. Dimakis, Matei Zaharia
Natural language context-such as instructions, knowledge, or feedback-contains rich signal for adapting language models. While in-context learning provides adaptation via the promp…
cs.LG2025★ 1 cited
How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models
Parth Asawa, Alan Zhu, Abigail O'Neill +3
Frontier language models are deployed as black-box services, where model weights cannot be modified and customization is limited to prompting. We introduce Advisor Models, a method…