6 citations · 11 across the 27 of their papers we have counts for
6 papers · 1 filter
KV-CAR: KV Cache Compression using Autoencoders and KV Reuse in Large Language Models
Sourjya Roy, Shrihari Sridharan, Surya Selvam +1
As Large Language Models (LLMs) scale in size and context length, the memory requirements of the key value (KV) cache have emerged as a major bottleneck during autoregressive decod…
GradientSpace: Unsupervised Data Clustering for Improved Instruction Tuning
Shrihari Sridharan, Deepak Ravikumar, Anand Raghunathan +1
Instruction tuning is one of the key steps required for adapting large language models (LLMs) to a broad spectrum of downstream applications. However, this procedure is difficult b…
Experts are all you need: A Composable Framework for Large Language Model Inference
Shrihari Sridharan, Sourjya Roy, Anand Raghunathan +1
Large Language Models (LLMs) have achieved state-of-the-art accuracies in a variety of natural language processing (NLP) tasks. However, this success comes at the cost of increased…
Extremal Lyapunov exponents in random and simultaneous dynamics
Thirupathi Perumal, Shrihari Sridharan
In this manuscript, we consider finitely many maps, all of which are defined on a compact probability space, with at least one map in the collection having degree strictly bigger t…
Counting functions over periodic orbits of a skew-product map
Subith Gopinathan, Bharath Krishna Seshadri, Shrihari Sridharan
In this manuscript, we investigate some properties of certain counting functions, associated to the ergodic sums computed along the periodic orbits of the skew-product map, related…
A classification of restrictive polynomial correspondences
Bharath Krishna Seshadri, Shrihari Sridharan
In this manuscript, we study a special class of correspondences on given by a polynomial relation, say . We focus on what we call re…