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 ...
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。
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...
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...
the use of the Stanford CoreNLP tagger42is another common methodology to address the AE task43. Using the mentioned tagger, Arumae and Liu44applied summarization techniques to improve the AE process performance. Additionally, Dugan et al.45used a T5 language model46and proved that providing huma...
[ACL 2024] PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain - pkunlp-icler/PCA-EVAL
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 ...
Evangelia Spiliopoulouis an Applied Scientist in the AWS Bedrock Evaluation group, where the goal is to develop novel methodologies and tools to assist automatic evaluation of LLMs. Her overall work focuses on Natural Language Processing (NLP) research and developing NLP applications for AW...
Model Usage Meta Evaluation Datasets Code CitationIntroductionThe leaderboard of Large Language Models in mathematical tasks has been continuously updated. However, the majority of evaluations focus solely on the final results, neglecting the quality of the intermediate steps. To measure reasoning beyond...
Title:EVALUATING LANGUAGE MODEL AGENCY THROUGH NEGOTIATIONS ICLR 2024 underreview Abs:商业利益集团正竞相利用语言模型的非凡能力来显示类似代理的行为。事实上,在未来,基于lm的个人代理被广泛用于执行涉及规划和谈判的复杂任务,这似乎越来越可信。当前的评估方法主要是静态的,不适合评估这种动态、多步骤的应用。因此,这...