collaborators

5 papers

cs.CL2026

From Interpretability to Control: Insights from Six Years of the TrustNLP Workshop

Rahul Gupta, Abhinav Mohanty, Anaelia Ovalle +10

The Workshop on Trustworthy Natural Language Processing (TrustNLP), co-located with major ACL conferences since 2021, has grown from 8 proceedings papers to 41 over six editions, d…

cs.AI2026

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

Rahul Gupta, Abhinav Mohanty, Payal Motwani +8

The paper introduces a Threshold Exceedance Criteria (TEC) framework to systematically evaluate whether frontier language models increase a non‑expert's ability to plan chemical, b…

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

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…