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Yash Agarwal

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Open access Aug 2026

Carnot: Interpretable, Interactive, and Optimized Execution of Deep Research Queries

Carnot is an interactive execution engine for AI-driven analytics that compiles natural language requests into physical execution graphs and surfaces them through an interactive notebook interface, and Carnot's query optimizer will optimize the query with respect to cost or latency constraints provided by the user.

Matthew Russo, Yash Agarwal, Tianyu Li et al. · 0 citations
Preprint Aug 2026

Lost in Reconstruction: Aligning Action Representations with Language in Vision-Language-Action Models

SALT is introduced, a Semantically ALigned action Tokenizer that augments a VQ-VAE-style tokenizer with an auxiliary objective requiring a frozen vision-language model to recover the episode instruction from quantized action latents to substantially improve language-conditioned control.

Wen-Jie Li, Yash Jangir, Ignacy Stepka et al. · 1 citation

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