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论文题目:Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation 期刊:arXiv.org e-Print archive 作者:Yunjie Ji、Yan Gong、Yong D…
然而,对这些能力的评估并不是标准化的:人工评估是昂贵的,缓慢的,而且不能客观地可重复的,而基于LLM的自动评估可能有偏见或受到评估者LLM能力的限制。为了克服这些问题,我们为大型语言模型引入了Instruction-Following Eval (IFEval)。IFEval是一个直接且易于复制的评估基准。它专注于一组“可验证的指令”,如“写出...
Large language models (LLMs) have achieved impressive success across several fields, but their proficiency in understanding and resolving complex graph problems is less explored. To bridge this gap, we introduce GraphInstruct, a novel and comprehensive instruction-tuning dataset designed to equip languag...
AlpacaFarm Appx C and Large Language Models are not Fair Evaluators both found that automatic annotators have a position bias. AlpacaFarm Sec. 5.2. and The False Promise of Imitating Proprietary LLMs both found that automatic annotators favor style (e.g. use of list, tone, word choice, len...
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast. tatsu-lab.github.io/alpaca_eval/ Resources Readme License Apache-2.0 license Citation Cite this repository Activity Stars 0 stars Watchers 0 watching Forks 0 forks Report ...
In the field of instruction-following large vision-language models (LVLMs), the efficient deployment of these models faces challenges, notably due to the high memory demands of their key-value (KV) caches. Conventional cache management strategies for LLMs focus on cache eviction, which often ...
Recent end-to-end speech language models (SLMs) have expanded upon the capabilities of large language models (LLMs) by incorporating pre-trained speech models. However, these SLMs often undergo extensive speech instruction-tuning to bridge the gap between speech and text modalities. This requires...
Recommendation as instruction following: a large language model empowered recommendation approach. 2023. 概 通过指令跟随来利用大模型进行推荐, 本文介绍了不同的指令的模板, 覆盖多种任务场景. InstructRec 首先作者对用户的偏好, 意图, 和推荐的任务类型进行了分类: Preference: None (P0P0): 即我们对用户没...
Large language models (LLMs) have become crucial tools for applications in natural language processing, computational mathematics, and programming. Such models often require large-scale computational resources to execute inference and train the model ef...