This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue—a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to ...
With the advent of pre-trained large language models (LLMs), the field of NLP has witnessed a shift in methodologies. Unlike conventional supervised learning approaches that rely on annotated datasets, LLMs are trained in a self-supervised manner, predicting tokens within vast amounts of unlabeled...
Title:EVALUATING LARGE LANGUAGE MODELS AT EVALUATING INSTRUCTION FOLLOWING Affiliation(s): Tsinghua University、Princeton University Date:2023.10 Published In: Arxiv Abs:随着大型语言模型(LLMs)的研究不断加速,LLM基于的评估已经成为对不断增加的模型列表进行比较的可扩展且具有成本效益的替代方法,取代了人工评估。
CHINESE languageENGLISH languageHALLUCINATIONSLarge language models (LLMs) have recently exhibited significant capabilities in various English NLP tasks. However, their performance in Chinese grammatical error correction (CGEC) remains unexplored. This study evaluates the abilities of...
As opposed to evaluating computation and logic-based reasoning, current benchmarks for evaluating large language models (LLMs) in medicine are primarily focused on question-answering involving domain knowledge and descriptive reasoning. While such qualitative capabilities are vital to medical diagnosis, in...
[ACL 2024] PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain - pkunlp-icler/PCA-EVAL
models and datasets to perform greater investigations on the AE and QG fields with promising results. Consequently, trying to solve the English language dependency in the field of NLP, some multilingual models have been proposed. These models are pre-trained in several languages and are able to ...
Pre-trained language models (PLMs) are known to improve the generalization performance of natural language understanding models by leveraging large amounts of data during the pre-training phase. However, the out-of-distribution (OOD) generalization proble...
Embodiments described herein provide a method of evaluating a natural language processing model. The method includes receiving an evaluation dataset that may include a plurality of unit tests, the unit tests having: an input context, and a first candidate and a second candidate that are generated ...
包括WinoGender,RealToxicityPrompts,CrowS-Pairs这三个部分。研究人员根据这三个成熟的数据集,对LLAMA的一些有害性内容进行了评估,本篇博客将带作者精读有关REALTOXICITYPROMPTS的论文:REALTOXICITYPROMPTS: Evaluating Neural Toxic Degeneration in Language Models。