Arnav Kundu

According to our database, Arnav Kundu authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers.

Ajay Jaiswal, Lauren Hannah, Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mehrdad Farajtabar, Minsik Cho

CoRR, February, 2026

2025

Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference.

Nikhil Bhendawade, Kumari Nishu, Arnav Kundu, Chris Bartels, Minsik Cho, Irina Belousova

CoRR, October, 2025

MoE-PHDS: One MoE checkpoint for flexible runtime sparsity.

Lauren A. Hannah, Soheil Zibakhsh, Kumari Nishu, Arnav Kundu, Mohammad Samragh Razlighi, Mehrdad Farajtabar, Minsik Cho

CoRR, September, 2025

EpiCache: Episodic KV Cache Management for Long Conversational Question Answering.

Minsoo Kim, Arnav Kundu, Han-Byul Kim, Richa Dixit, Minsik Cho

CoRR, September, 2025

MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE.

Soheil Zibakhsh, Mohammad Samragh, Kumari Nishu, Lauren Hannah, Arnav Kundu, Minsik Cho

CoRR, September, 2025

Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential.

Mohammad Samragh, Arnav Kundu, David Harrison, Kumari Nishu, Devang Naik, Minsik Cho, Mehrdad Farajtabar

CoRR, July, 2025

SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models.

Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mohammad Samragh, Minsik Cho

Proceedings of the Forty-second International Conference on Machine Learning, 2025

An Efficient and Streaming Audio Visual Active Speaker Detection System.

Arnav Kundu, Yanzi Jin, Mohammad Hossein Sekhavat, Maxwell Horton, Danny Tormoen, Devang Naik

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

RepCNN: Micro-sized, Mighty Models for Wakeword Detection.

Arnav Kundu, Prateeth Nayak, Hywel Richards, Priyanka Padmanabhan, Devang Naik

CoRR, 2024

RepCNN: Micro-sized, Mighty Models for Wakeword Detection.

Arnav Kundu, Prateeth Nayak, Priyanka Padmanabhan, Devang Naik

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Streaming Anchor Loss: Augmenting Supervision with Temporal Significance.

Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

R^2: Range Regularization for Model Compression and Quantization.

Arnav Kundu, Chungkuk Yoo, Srijan Mishra, Minsik Cho, Saurabh Adya

CoRR, 2023

I See What You Hear: A Vision-Inspired Method to Localize Words.

Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik

Proceedings of the IEEE International Conference on Acoustics, 2023

HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words.

Arnav Kundu, Mohammad Samragh, Minsik Cho, Priyanka Padmanabhan, Devang Naik

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

I see what you hear: a vision-inspired method to localize words.

Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik

CoRR, 2022

2021

Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric.

Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel

Proceedings of the IEEE International Conference on Acoustics, 2021