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cs.AI2026
Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments
Parth Asawa, Christopher M. Glaze, Gabriel Orlanski +7
Continual learning, the ability of AI systems to improve through sequential experience, has attracted substantial interest, but no high-quality benchmark exists to evaluate it. We…
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…