activity
20222026
most citedNeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

7 citations · 22 across the 19 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CL2024★ 1 cited

Towards Inference-time Category-wise Safety Steering for Large Language Models

Amrita Bhattacharjee, Shaona Ghosh, Traian Rebedea +1

While large language models (LLMs) have seen unprecedented advancements in capabilities and applications across a variety of use-cases, safety alignment of these models is still an…

cs.CL2024

Unsupervised Extraction of Dialogue Policies from Conversations

Makesh Narsimhan Sreedhar, Traian Rebedea, Christopher Parisien

Dialogue policies play a crucial role in developing task-oriented dialogue systems, yet their development and maintenance are challenging and typically require substantial effort f…

cs.CL2024★ 7 cited

Nemotron-4 340B Technical Report

Nvidia, :, Bo Adler +80

We release the Nemotron-4 340B model family, including Nemotron-4-340B-Base, Nemotron-4-340B-Instruct, and Nemotron-4-340B-Reward. Our models are open access under the NVIDIA Open…

cs.LG2024★ 3 cited

AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts

Shaona Ghosh, Prasoon Varshney, Erick Galinkin +1

As Large Language Models (LLMs) and generative AI become more widespread, the content safety risks associated with their use also increase. We find a notable deficiency in high-qua…

cs.CL2024

CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues

Makesh Narsimhan Sreedhar, Traian Rebedea, Shaona Ghosh +2

Recent advancements in instruction-tuning datasets have predominantly focused on specific tasks like mathematical or logical reasoning. There has been a notable gap in data designe…