activity
20242026
most citedKomodo: A Linguistic Expedition into Indonesia's Regional Languages

3 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AR2026

Grouped Value Attention: Efficient KV Caching via On-Demand Key Reconstruction

Vishesh Tripathi, Abhay Kumar, Ramsha Khan

The KV cache is a primary bottleneck for Transformer decoding: its memory footprint and cache-read traffic grow with sequence length. Grouped-query attention (GQA) reduces this cos…

cs.LG2026

Train Smarter, Not Longer: Memorization-Guided Data Reuse for Efficient LLM Training

Jingwei Zuo, Cong Zeng, Ilyas Chahed +6

The training paradigm of large language models has shifted from traditional one-pass training to multi-epoch training, as reasonable reuse of limited high-quality data can improve…

cs.LG2026

Grouped Query Experts: Mixture-of-Experts on GQA Self-Attention

Vishesh Tripathi, Abhay Kumar

Self-attention is central to Transformer performance and is often the most expensive part of the Transformer at long context lengths because its pairwise token interactions scale q…

cs.LG2025★ 1 cited

ZClip: Adaptive Spike Mitigation for LLM Pre-Training

Abhay Kumar, Louis Owen, Nilabhra Roy Chowdhury +1

Training large language models (LLMs) presents numerous challenges, including gradient instability and loss spikes. These phenomena can lead to catastrophic divergence, requiring c…

cs.CL2025

A Refined Analysis of Massive Activations in LLMs

Louis Owen, Nilabhra Roy Chowdhury, Abhay Kumar +1

Motivated in part by their relevance for low-precision training and quantization, massive activations in large language models (LLMs) have recently emerged as a topic of interest.…

cs.LG2025

Variance Control via Weight Rescaling in LLM Pre-training

Louis Owen, Abhay Kumar, Nilabhra Roy Chowdhury +1

The outcome of Large Language Model (LLM) pre-training strongly depends on weight initialization and variance control strategies. Although the importance of initial variance contro…

cs.CL2024★ 3 cited

Komodo: A Linguistic Expedition into Indonesia's Regional Languages

Louis Owen, Vishesh Tripathi, Abhay Kumar +1

The recent breakthroughs in Large Language Models (LLMs) have mostly focused on languages with easily available and sufficient resources, such as English. However, there remains a…