collaborators

5 papers

cs.AI2026

Does a Hosted Decision Model Respect Irrelevant Alternatives? A Pre-Registered Test of Option-Set Dependence in Jev

Dushyant Rajput, Nirdesh Chauhan, Siddharth Kosaraju

Decision APIs that return a probability for each option are routinely used as if those probabilities were properties of the options themselves. That reading is valid only if the mo…

cs.AI2026

Can a Cacheable Decision Model Follow Rules?

Dushyant Rajput, Nirdesh Chauhan, Siddharth Kosaraju

Certo is a small non-generative decision model (Qwen3-4B): it scores candidate actions from their text and returns a probability, instead of generating an answer. The accurate desi…

cs.AI2026

Shared-Prefix KV Reuse Across Standard LoRA Adapters: Quality and Serving Tradeoffs

Dushyant Rajput

A common small-model deployment runs one shared backbone with several LoRA specialists that answer over the same context. Serving them naively re-prefills that shared context once…

cs.AI2026

Depth and Scale in the Sub-150M Regime: JugnuLM-53M vs JugnuLM-110M

Dushyant Rajput, Nirdesh Chauhan, Siddharth Kosaraju

We scale our conventional sub-150M pretraining recipe from 53.5M to 109.7M parameters, holding the method fixed (Qwen3-style decoder with grouped-query attention, RoPE, SwiGLU, RMS…

cs.AI2026

Cheap Verifiers, Large Blind Spots: Measuring the Reliability Cost of Cost-Saving Cascades

Dushyant Rajput, Nirdesh Chauhan, Siddharth Kosaraju

Inference cascades cut cost by answering most queries with a cheap model and escalating a hard tail to a frontier model that acts as verifier. A natural extension closes the loop:…