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Payal Motwani

4 papers hereh-index 370 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CR2

identity via Semantic Scholar / OpenAlex

most citedThe Amazon Nova Family of Models: Technical Report and Model Card

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2026

A Threshold Exceedance Framework for CBRN Uplift Evaluation in Frontier Language Models

Rahul Gupta, Abhinav Mohanty, Payal Motwani +8

As frontier language models advance, policymakers and model developers need methods for assessing whether model access materially increases a non-expert actor's ability to plan hig…

cs.CR2026

Evaluating Nova 2.0 Lite model under Amazon's Frontier Model Safety Framework

Satyapriya Krishna, Matteo Memelli, Tong Wang +5

Amazon published its Frontier Model Safety Framework (FMSF) as part of the Paris AI summit, following which we presented a report on Amazon's Premier model. In this report, we pres…

cs.CR2025

Evaluating the Critical Risks of Amazon's Nova Premier under the Frontier Model Safety Framework

Satyapriya Krishna, Ninareh Mehrabi, Abhinav Mohanty +4

Nova Premier is Amazon's most capable multimodal foundation model and teacher for model distillation. It processes text, images, and video with a one-million-token context window,…

cs.AI2025★ 2 cited

The Amazon Nova Family of Models: Technical Report and Model Card

Amazon AGI, Aaron Langford, Aayush Shah +783

We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.