Distributed Zero-Knowledge Proofs Over Networks. - Aviv Bick; Gillat Kol; Rotem Oshman (SODA, 2022)

Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models. - Aviv Bick; Kevin Y. Li; Eric P. Xing; J. Zico Kolter; Albert Gu (NeurIPS, 2024)

Llamba: Scaling Distilled Recurrent Models for Efficient Language Processing. - Aviv Bick; Tobias Katsch; Nimit Sharad Sohoni; Arjun Desai; Albert Gu (CoRR, 2025)

Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners. - Daniele Paliotta; Junxiong Wang; Matteo Pagliardini; Kevin Y. Li; Aviv Bick; J. Zico Kolter; Albert Gu; François Fleuret; Tri Dao (CoRR, 2025)

Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism. - Aviv Bick; Eric P. Xing; Albert Gu (CoRR, 2025)