【1】Holistic Evaluation of Language Models，论文地址：https://arxiv.org/abs/2211.09110
情感分析:Sentiment Analysis in the Era of Large Language Models: A Reality Check 本文的角度是如何测试LLM,而不是已有LLM在特定NLP任务上表现如何,所以这里不再展开。前面提到的综述文章中的第一节详细讨论并总结了LLM在各个 NLP 任务上的表现,感兴趣的同学可以详细阅读。 范式转换:从NLP任务到人类试题 然而从...
Large language models (LLMs) are fundamentally transforming human-facing applications in the health and well-being domains: boosting patient engagement, accelerating clinical decision-making, and facilitating medical education. Although state-of-the-art LLMs have shown superior performance in several ...
摘要:该文为大模型评估方向的综述论文。 本文分享自华为云社区《【论文分享】《Holistic Evaluation of Language Models》》,作者:DevAI。 大模型(LLM)已经成为了大多数语言相关的技术的基石,然而大模型的能力、限制、风险还没有被大家完整地认识。该文为大模型评估方向的综述论文,由Percy Liang团队打造,将2022年四...
Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, their evaluation becomes increasingly critical, not only at the task...
evaluationagimultimodallarge-language-models UpdatedFeb 14, 2025 Python Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks computer-visionevaluationpytorchgeminiopenaivqavitgptmulti-modalclipclaudeopenai-apigpt4large-language-modelsllmchatgptllavaqwengpt...
This project provides a unified framework to test generative language models on a large number of different evaluation tasks. Features: Over 60 standard academic benchmarks for LLMs, with hundreds of subtasks and variants implemented. Support for models loaded viatransformers(including quantization via...
With the rise of Large Language Models (LLMs) and their ubiquitous deployment in diverse domains, measuring language model behavior on realistic data is imperative. For example, a company deploying a client-facing chatbot must ensure that
UA-LLM: ADVANCING CONTEXT-BASED QUESTION ANSWERING IN UKRAINIAN THROUGH LARGE LANGUAGE MODELS Context-based question answering, a fundamental task in natural language processing, demands a deep understanding of the language's nuances. While being a ... S M. V.,R V. M. - 《Radio Electronics ...
During the development of large language models (LLMs), the scale and quality of the pre-training data play a crucial role in shaping LLMs' capabilities. To accelerate the research of LLMs, several large-scale datasets, such as C4 [1], Pile [2], RefinedWeb [3] and WanJuan [4], ha...