2 citations · 8 across the 23 of their papers we have counts for
4 papers · 1 filter
BiasMix-Finance: Post-Generation KYC Guardrails for LLM Portfolio Advice
Gaurav Kukreja, Parul Kukreja, Mohammed Abraar +3
Large language models (LLMs) can generate plausible-sounding ETF portfolios while silently violating basic KYC-style constraints on risk, fees, and diversification. This is especia…
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…
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…
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 "…