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Akaash R. Parthasarathy

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#machine learning Preprint Sep 2026

On-Policy Attention Linearization

On-Policy Attention Linearization (OPAL) is introduced in which the hybrid attention student samples its own long-context trajectories and receives dense supervision from the frozen full-attention teacher.

Arian Raje, Anupam Nayak, Anthony Fei et al. · 0 citations
Preprint Aug 2026

An infinite family of doubly saturated $R(3,t)$-good graphs

For every odd integer $t\ge17$, we prove that an explicit circulant graph on $5t-10$ vertices is doubly saturated $R(3,t)$-good. The graph is triangle-free and has independence number $t-1$. Adding any nonedge creates a triangle, whereas deleting any edge creates an independent set of order $t$. This settles Conjecture...

Abhishek Saigal, Akaash R. Parthasarathy · 0 citations
May 2026

Beyond Accuracy and Cost: Latency-Aware LLM Query Routing for Dynamic Workloads

A lightweight latency estimator is designed that simulates autoregressive token batch processing in the serving framework and estimates the time-to-first-token (TTFT) of queries and is incorporated into a latency-aware router that jointly optimizes latency, accuracy, and cost when assigning queries to model instances.

Shivam Patel, Akaash R. Parthasarathy, Ankur Mallick et al. · 0 citations

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