为了精确评估LLMs遵循指令的能力,论文提出了一个多级(Multi-level)机制,逐级递增地向初始指令中添加单个约束。 FollowBench 由来自超过 50 个 NLP 任务的 820 条精心策划的指令组成,包括封闭式和开放式问题。 数据构建 1. 内容约束(Content Constraints)内容约束涉及对响应内容的明确限制。为了构建这些约束,作者从...
我们展示了市场上两种广泛可用的llm的评估结果。 1 INTRODUCTION 大型语言模型(LLMs)是许多最先进的研究和应用的支柱(布朗等人,2020年;乔德里等人,2022年;Anil等人,2023年;OpenAI,2023年;Touvron等人,2023年)。LLMs的一个关键功能是遵循输入的自然语言指令,也称为零射击提示(Zhong等,2021年;Mishra等,2022年;魏等...
One core capability of Large Language Models (LLMs) is to follow natural language instructions. However, the evaluation of such abilities is not standardized: Human evaluations are expensive, slow, and not objectively reproducible, while LLM-based auto-evaluation is potentially biased or limited by ...
论文的关键创新在于一个迭代搜索和优化过程,使得LLMs能够生成和评估潜在的思考,而不依赖额外的人类数据。通过使用评判模型来评分其“思考”的质量,并通过偏好优化来优化它们,模型的性 在论文《Thinking LLMs: General Instruction Following with Thought Generation》中,作者介绍了一种新颖的训练方法,使得大型语言模型(LL...
One core capability of Large Language Models (LLMs) is to follow natural language instructions. However, the evaluation of such abilities is not standardized: Human evaluations are expensive, slow, and not objectively reproducible, while LLM-based auto-evaluation is potentially biased or limited by ...
Apple AI and UC Santa Barbara researchers have introduced a new technique called Instruction-Following Pruning (IFPruning), which dynamically adapts LLMs to the needs of a particular task. IFPruning uses a sparsity predictor that generates input-...
In the realm of large language models (LLMs), enhancing instruction-following capability often involves curating expansive training data. This is achieved through two primary schemes: i) Scaling-Inputs: Amplifying (input, output) pairs per task instruction, aiming for better instruction adherence. ii...
achieves 89% of performance compared to GPT-3.5-turbo. BayLing also demonstrates outstanding performance on knowledge assessment of Chinese GaoKao and English SAT, second only to GPT-3.5-turbo among a multitude of instruction-following LLMs. Demo, homepage, code and models of BayLing are ...
Welcome to 🌟 BayLing and join BayLing's WeChat!About “百聆”是一个基于LLaMA的语言对齐增强的英语/中文大语言模型,具有优越的英语/中文能力,在多语言和通用任务等多项测试中取得ChatGPT 90%的性能。BayLing is an English/Chinese LLM equipped with advanced language alignment, showing superior capabilit...
Vigogne is a collection of powerful 🇫🇷 French large language models (LLMs) that are open-source and designed for instruction-following and chat purposes. The main contributions of this project include: Open-sourced 🦙 Vigogne models for French instruction-following and chat ...