2 Calibration Evaluation Tasks and Data Causal language modeling (CLM),给定序列预测下一个token;使用PILE数据集的训练集和测试集,测试时在测试序列中随机采样一个位置进行生成; Facts generation (FG),用于评估模型对事实知识的记忆能力,即factuality;使用T-REx实体链接数据集,测试时让模型生成实体的第一个token; ...
3.2.2 Language-based Approach 3.3 Parameter-Effective Training 4 Alignment Evaluation 4.1 Evaluation Benchmarks 4.2 Evaluation Paradigm 5 Challenges and Future Directions 数据 2.1 Instructions from Human 2.1.1 NLP基准 在数据收集方面的直觉起点是将现有的NLP基准适应成自然语言指令。像Prompt-Source、FLAN和Su...
Large Language models can potentially generate content that may be harmful, biased, or misaligned with what users actually want or expect. Alignment refers to theprocess of aligning an LLM's behavior with human preferences and ethical principles. It aims to mitigate risks associated with model behav...
Ajay Divakaran 11SRI International2University of Illinois Urbana-Champaignyangyic3@illinois.eduAbstractWe present DRESS , a large vision language model(LVLM) that innovatively exploits Natural Language feed-back (NLF) from Large Language Models to enhance itsalignment and interactions by addressing two ...
Anthropic《大型语言模型中的对齐伪装|Alignment faking in large language models》中英字幕deepseek 01:30:20 杜克大学《本地大语言模型的基础|Foundations of Local Large Language models》中英字幕 开始本地大型语言模型的 Llamafile|Beginning Llamafile for Local Large Language Models (LLMs) databricks《大语言...
Alignment of Large Language Models (LLMs) remains an unsolved problem. Human preferences are highly distributed and can be captured at multiple levels ofion, from the individual to diverse populations. Organisational preferences, represented by standards and principles, are defined to mitigate reputationa...
Alignment has become a critical step for instruction-tuned Large Language Models (LLMs) to become helpful assistants. However, the effective evaluation of alignment for emerging Chinese LLMs is still largely unexplored. To fill in this gap, we introduce AlignBench, a comprehensive multi-dimensional...
Traditional methods heavily reliant on domain experts are time-consuming and resource-intensive. To address this challenge, this paper proposes an automated taxonomy alignment approach leveraging large language models (LLMs). We introduce a method that embeds taxonomy nodes into a continuous low-...
对齐含义:在自然语言处理中,对齐(Alignment)通常指将源语言和目标语言之间的单词或短语进行匹配,以便进行翻译或其他语言处理任务。对齐可以是单向的,也可以是双向的。在双向对齐中,源语言和目标语言之间的单词或短语是相互匹配的,这有助于提高翻译的准确性和流畅性。
alignment of languagemodels.11 IntroductionBy pre-training on large-scale text corpora, largelanguage models (LLMs) possess extensive worldknowledge and demonstrate remarkable capabil-ities in numerous natural language tasks (Tou-vron et al., 2023a,b; OpenAI, 2023). However,LLMs that are only ...