Since each step of Jacobi decoding involves LLM forward computation on >1 token, it is significantly more expensive in terms of FLOPs required than each step of autoregressive decoding. The ...

In this paper, the paradigm of the traditional iterative decoding schemes for the uplink large-scale MIMO detection is extended by sampling in an Markov chain Monte Carlo (MCMC) way. Different from ...

Researchers from the University of Washington, the Pennsylvania State University, and Allen Institute for AI have open-sourced SafeDecoding, a technique for protecting large language models (LLMs) aga ...

A CRC-aided successive cancellation list (SCL) decoding algorithm for polar codes and PAC codes with various code constructions/rate profiles. The list decoding algorithm is an adaptive two stage ...

The motivation is to explore how Speculative Decoding can be effectively adapted across different model series and configurations. This repo aims to implement two algorithms: (1) Deepmind's Algorithm: ...

LLM to RAG: Decoding AI jargon matters, ... Simply put, it’s an AI algorithm trained on vast amounts of text and natural language-related data to generate textual output similar to a human would.

This upgrade would allow Co-LLM to course-correct so the algorithm can still give a satisfactory reply. ... Learning to Decode Collaboratively with Multiple Language Models, arXiv (2024).