5 papers
Locale-Conditioned Few-Shot Prompting Mitigates Demonstration Regurgitation in On-Device PII Substitution with Small Language Models
Anuj Sadani, Deepak Kumar
Personally Identifiable Information (PII) redaction usually replaces detected entities with placeholder tokens such as [PERSON], destroying the downstream utility of the redacted t…
Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs
Deepak Kumar, Baban Gain, Asif Ekbal
Automatic Speech Recognition (ASR) transcripts often contain disfluencies, such as fillers, repetitions, and false starts, which reduce readability and hinder downstream applicatio…
CADET: Context-Conditioned Ads CTR Prediction With a Decoder-Only Transformer
David Pardoe, Neil Daftary, Miro Furtado +20
Click-through rate (CTR) prediction is fundamental to online advertising systems. While Deep Learning Recommendation Models (DLRMs) with explicit feature interactions have long dom…
GPT-OSS-20B: A Comprehensive Deployment-Centric Analysis of OpenAI's Open-Weight Mixture of Experts Model
Deepak Kumar, Divakar Yadav, Yash Patel
We present a single-GPU (H100, bf16) evaluation of GPT-OSS-20B (Mixture-of-Experts; 20.9B total, approx. 3.61B active) against dense baselines Qwen3-32B and Yi-34B across multiple…
Krutrim LLM: Multilingual Foundational Model for over a Billion People
Aditya Kallappa, Palash Kamble, Abhinav Ravi +10
India is a diverse society with unique challenges in developing AI systems, including linguistic diversity, oral traditions, data accessibility, and scalability. Existing foundatio…