13 citations · 18 across the 6 of their papers we have counts for
6 papers
-Controlled GRPO: Turning Flow-Matching Ratio Instability into a Budgeted Resource
Yufeng Wang, Parivesh Priye, Meeshawn Marathe +1
Reinforcement learning is increasingly used to align image generators with reward signals, and Flow-GRPO recently extended this paradigm to flow-matching models by treating the den…
VoiceLongMemEval: Do Assistants Remember How You Sounded?
Ramit Pahwa, Parivesh Priye, Apoorva Beedu
With the growing scale of multi-agent architectures and large language models, deployed AI assistants are increasingly tasked with reasoning over long, continuous, multi-session co…
Audio2Tool: Speak, Call, Act -- A Dataset for Benchmarking Speech Tool Use
Ramit Pahwa, Apoorva Beedu, Parivesh Priye +4
Voice assistants increasingly rely on Speech Language Models (SpeechLMs) to interpret spoken queries and execute complex tasks, yet existing benchmarks lack domain breadth, acousti…
Model Blending for Text Classification
Ramit Pahwa
Deep neural networks (DNNs) have proven successful in a wide variety of applications such as speech recognition and synthesis, computer vision, machine translation, and game playin…
Data-Driven Compression of Convolutional Neural Networks
Ramit Pahwa, Manoj Ghuhan Arivazhagan, Ankur Garg +3
Deploying trained convolutional neural networks (CNNs) to mobile devices is a challenging task because of the simultaneous requirements of the deployed model to be fast, lightweigh…
LSTMs with Attention for Aggression Detection
Nishant Nikhil, Ramit Pahwa, Mehul Kumar Nirala +1
In this paper, we describe the system submitted for the shared task on Aggression Identification in Facebook posts and comments by the team Nishnik. Previous works demonstrate that…