activity
20242026
collaborators

8 papers

cs.DL2026

Bibby AI: An Editor-Native Agentic Platform for Academic Research, Writing, and Publishing

Nilesh Jain

Academic output is produced across a fragmented toolchain: literature discovery in one application, reference management in another, writing in a LaTeX editor, formatting against v…

cs.CL2026

TokenButler: Token Importance is Predictable

Yash Akhauri, Ahmed F AbouElhamayed, Yifei Gao +4

Large Language Models (LLMs) rely on the Key-Value (KV) Cache to store token history, enabling efficient decoding of tokens. As the KV-Cache grows, it becomes a major memory and co…

cs.ET2026

Bibby AI -- AI Latex Editor writing assistant for researchers vs Overleaf Alternative vs OpenAI Prism. (Bibby AI Latex Editor)

Nilesh jain, Rohit Yadav, Andrej Karpathy

Large language models are increasingly integrated into academic writing workflows; however, the most widely used \LaTeX\ editors remain AI-peripheral -- offering compilation and co…

cs.CL2026

Multi-LLM Thematic Analysis with Dual Reliability Metrics: Combining Cohen's Kappa and Semantic Similarity for Qualitative Research Validation

Nilesh Jain, Hyungil Suh, Seyi Adeyinka +2

Qualitative research faces a critical reliability challenge: traditional inter-rater agreement methods require multiple human coders, are time-intensive, and often yield moderate c…

cs.CL2026

KVCrush: Key value cache size-reduction using similarity in head-behaviour

Gopi Krishna Jha, Sameh Gobriel, Liubov Talamanova +1

Key-value (KV) caching has emerged as a crucial optimization technique for accelerating inference in large language models (LLMs). By allowing the attention operation to scale line…

cs.LG2025

SparAMX: Accelerating Compressed LLMs Token Generation on AMX-powered CPUs

Ahmed F. AbouElhamayed, Jordan Dotzel, Yash Akhauri +6

Large language models have high compute, latency, and memory requirements. While specialized accelerators such as GPUs and TPUs typically run these workloads, CPUs are more widely…