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cs.AI2025
Three methods, one problem: Classical and AI approaches to no-three-in-line
Pranav Ramanathan, Thomas Prellberg, Matthew Lewis +4
The No-Three-In-Line problem asks for the maximum number of points that can be placed on an n by n grid with no three collinear, representing a famous problem in combinatorial geom…
cs.AI2025
Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models
Sushant Mehta, Raj Dandekar, Rajat Dandekar +1
We present MoE-MLA-RoPE, a novel architecture combination that combines Mixture of Experts (MoE) with Multi-head Latent Attention (MLA) and Rotary Position Embeddings (RoPE) for ef…
cs.AI2024
HULLMI: Human vs LLM identification with explainability
Prathamesh Dinesh Joshi, Sahil Pocker, Raj Abhijit Dandekar +2
As LLMs become increasingly proficient at producing human-like responses, there has been a rise of academic and industrial pursuits dedicated to flagging a given piece of text as "…