Dec 16, 2022 · We introduce ALERT, a benchmark and suite of analyses for assessing language models' reasoning ability comparing pre-trained and finetuned models on complex ...
Recent advancements in large language models have enabled them to perform well on complex tasks that require step-by-step reasoning with few-shot learning.
Jul 9, 2023 · ALERT enables comparing pre-trained and finetuned models on complex tasks that require reasoning skills to solve them.
ALERT enables comparing pre-trained and finetuned models on complex tasks that require reasoning skills to solve them. Our benchmark provides a test bed to ...
TLDR: Recent advancements in large language models have enabled them to perform well on complex tasks that require step-by-step reasoning with few-shot ...
ALERT provides a test bed to asses any language model on fine-grained reasoning skills, which spans over 20 datasets and covers 10 different reasoning skills.
Dec 16, 2022 · The extensive empirical analysis shows that language models learn more reasoning skills such as textual entailment, abductive reasoning, ...
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Dec 16, 2022 · Current large language models can perform well on complex tasks with few-shot learning · ALERT is a benchmark and suite of analyses to assess ...
Our approach works by chaining together reasoning steps, where each step results from calls to two fine-tuned LMs, one for selection and one for inference, to ...
This repository contains a collection of papers and resources on Reasoning in Large Language Models. - jeffhj/LM-reasoning.