Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document ...

That said, the computers built around the newest AMD GPU, MI325X, matched the performance of Nvidia’s H200, Blackwell’s predecessor, on the most popular LLM fine-tuning benchmark. This ...

During the encoding phase, GVAE processes the design attributes of the charts, while the LLM supplements the data attributes. The final visualizations are rendered using Vega-Lite, a widely adopted ...

A library for trimming tokens in encoding and decoding in LLM (Large Language Model) applications. It provides utilities to compress text by removing stopwords, punctuation, spaces, and applying ...

Existing multi-agent reinforcement learning (MARL) in adaptive traffic signal control (ATSC) typically models cooperative control of multiple intersections as a cooperative Markov game, optimizing the ...