然后,我们通过引入两个基准测试来验证LLM评判和人类偏好之间的一致性:MT-bench,一个多轮问题集;以及Chatbot Arena,一个众包对战平台。我们的结果揭示,像GPT-4这样的强大LLM评判可以很好地匹配受控和众包的人类偏好,达到超过80%的一致性,这与人与人之间的一致性水平相同。因此,LLM作为评判是一种可扩展且可解释的...
in Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena This dataset contains 3.3K expert-level pairwise human preferences for model responses generated by 6 models in response to 80 MT-bench questions. The 6 models are GPT-4, GPT-3.5, Claud-v1, Vicuna-13B, Alpaca-13B, and LLaMA-...
1 introduction We create MT-bench, a benchmark consisting of80 high-quality multi-turn questions. MT-bench is designed to test multi-turn conversation and instruction-following ability, covering common use cases and focusing on challenging questions to differentiate models. We identify8 common categor...
Here is 1 public repository matching this topic... Modified mt_bench with API and HF scripts for LFMs. benchmarkevaluationliquid-aillmmt-bench UpdatedFeb 26, 2025 Python Add a description, image, and links to themt-benchtopic page so that developers can more easily learn about it. ...
在MT-Bench和指令跟踪方面展示了出色的基准结果,适用于小于4B大小的模型。欢迎尝试并提供反馈意见。更多的Minitron instruct模型即将推出,关注这个系列:https://t.co/VeHWcKl3vZ 克莱门特·德朗格分享了一个令人兴奋的消息给人工智能和机器学习社区:Nemotron-Mini-4B-Instruct的开源。这个经过修剪以提高效率的模型现在...
工作职责: 1. 持续调研学术界、工业界前沿技术,追踪AI算法进展,找benchmark,助力公司AI算法等技术处于世界领先水平 2. lead AI算法直聘研发、技术规划,赋能产品业务流程,如机器学习、深度学习、大模型、多模态、自动剪辑等 3. 负责AI团队管理,人才梯队搭建,技术能力沉淀,提高技术上限,为公司提供创新源动力(也可专注...
We conduct document-level translation benchmark experiments by evaluating neural machine translation (NMT) models and large language models (LLMs) for translations between English and these languages, at both the sentence and pseudo-document levels. These outputs are realigned to form complete ...
We use MT-bench, a set of challenging multi-turn open-ended questions to evaluate models. To automate the evaluation process, we prompt strong LLMs like GPT-4 to act as judges and assess the quality of the models' responses. See instructions for running MT-bench atfastchat/llm_judge. ...
Introducing Unbabel-COMET v2.0: Improved Models and Metrics for Better Machine Translation Evaluation NLP and MT Transparency and Excellence: The Driving Forces Behind Quality Evaluation in Machine Translation NLP and MT WAGS: A Beautiful English-Italian Benchmark Supporting Word Alignment Evaluation on ...
Technology developments tend to follow a typical pattern of improvement over time, known as an S-curve. Although it is a familiar pattern, it is worth unpacking its five phases and considering how the