From the 1 of 10 linked papers with an AI index.
1 citations · 1 across the 4 of their papers we have counts for
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GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling
Alireza Dadgarnia, Soroush Tabesh, Mahdi Nikdan +4
Quantization has become a standard tool for efficient LLM deployment, especially for local inference, where models are now routinely served at 2-3 bits per parameter. The state of…
Panza: Design and Analysis of a Fully-Local Personalized Text Writing Assistant
Armand Nicolicioiu, Eugenia Iofinova, Andrej Jovanovic +6
The availability of powerful open-source large language models (LLMs) opens exciting use-cases, such as using personal data to fine-tune these models to imitate a user's unique wri…
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models
Eldar Kurtic, Amir Moeini, Dan Alistarh
We introduce Mathador-LM, a new benchmark for evaluating the mathematical reasoning on large language models (LLMs), combining ruleset interpretation, planning, and problem-solving…