1 citations · 1 across the 9 of their papers we have counts for
10 papers
IndicBankBench: Evaluating Safety and Reliability of Language Model Assistants in Indian Retail Banking
Suvradip Paul, Chandra Bhushan, Harsh Sharma +4
Banking assistants must use account-specific information to answer requests and, in many cases, take actions through tools. Evaluating only the final response misses important erro…
FiMI Banking: A Sovereign Model for Indian Retail Banking
NPCI AI Research Team, Aman Kumar, Asit Desai +15
Banks need conversational systems that can answer product questions, assist customers with account-related requests, and operate safely within strict operational and regulatory con…
Parameter-Efficient Token Embedding Editing for Clinical Class-Level Unlearning
Iyad Ait Hou, Shrenik Borad, Harsh Sharma +3
Machine unlearning is increasingly important for clinical language models, where privacy regulations and institutional policies may require removing sensitive information from depl…
FiMI: A Domain-Specific Language Model for Indian Finance Ecosystem
Aboli Kathar, Aman Kumar, Anusha Kamath +37
We present FiMI (Finance Model for India), a domain-specialized financial language model developed by National Payments Corporation of India (NPCI) for Indian digital payment syste…
NVIDIA Nemotron 3: Efficient and Open Intelligence
NVIDIA, :, Aaron Blakeman +356
We introduce the Nemotron 3 family of models - Nano, Super, and Ultra. These models deliver strong agentic, reasoning, and conversational capabilities. The Nemotron 3 family uses a…
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
NVIDIA, :, Aaron Blakeman +311
We present Nemotron 3 Nano 30B-A3B, a Mixture-of-Experts hybrid Mamba-Transformer language model. Nemotron 3 Nano was pretrained on 25 trillion text tokens, including more than 3 t…
From Facts to Conclusions : Integrating Deductive Reasoning in Retrieval-Augmented LLMs
Shubham Mishra, Samyek Jain, Gorang Mehrishi +4
Retrieval-Augmented Generation (RAG) grounds large language models (LLMs) in external evidence, but fails when retrieved sources conflict or contain outdated or subjective informat…
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
NVIDIA, :, Aarti Basant +214
We introduce Nemotron-Nano-9B-v2, a hybrid Mamba-Transformer language model designed to increase throughput for reasoning workloads while achieving state-of-the-art accuracy compar…
Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
Eray Erturk, Fahad Kamran, Salar Abbaspourazad +6
Wearable devices record physiological and behavioral signals that can improve health predictions. While foundation models are increasingly used for such predictions, they have been…
Visual Hallucination: Definition, Quantification, and Prescriptive Remediations
Anku Rani, Vipula Rawte, Harshad Sharma +4
The troubling rise of hallucination presents perhaps the most significant impediment to the advancement of responsible AI. In recent times, considerable research has focused on det…