Library of baseline solvers for AI2 Reasoning Challenge (ARC) Set (http://data.allenai.org/arc/). These solvers retrieve relevant sentences from a large text corpus (ARC_Corpus.txt in the dataset), and use two types of models to predict the correct answer. ...
温度(τ=0.8)下对齐度略降(85.9%),但减少生成重复。 在2,017份PDF的对比测试中,OLMOCR以ELO 1800+显著优于Marker、MinerU等工具(图6)。使用OLMOCR数据微调OLMo-2模型,在MMLU、ARC等基准上平均提升1.3%。 公众号大模型自然语言处理作者:余俊晖 原文链接:https://mp.weixin.qq.com/s/9JfKg1HTVKO6...
使用OLMOCR数据微调OLMo-2模型,在MMLU、ARC等基准上平均提升1.3%。
olmes --task arc_challenge:rc::olmes hellaswag::rc::olmes --split dev ... but using a json format for each task, can be on per-task (but it's generally better to use the task library for this), e.g., olmes --task '{"task_name": "arc_challenge:rc::olmes", "num_shots"...
具体而言,MACAW基于预训练的T5模型[2],并通过两阶段精调得到。在第一阶段中,采用包括BoolQ、 NarrativeQA、RACE在内的7个问答数据集,并通过问题生成、答案生成、选项生成、选项加答案生成等6种不同的任务范式,让模型充分地学到问答相关的一切技巧。而在第二阶段中,采用了两个标注有答案解释的数据集,ARC和ARC-DA...
与教师模型GPT-4o的文本对齐度达87.5%,优于GPT-4o mini(83.3%)。温度(τ=0.8)下对齐度略降(85.9%),但减少生成重复。 图片 在2,017份PDF的对比测试中,OLMOCR以ELO 1800+显著优于Marker、MinerU等工具(图6)。使用OLMOCR数据微调OLMo-2模型,在MMLU、ARC等基准上平均提升1.3%。 图片...
Dataset ARC-challenge (Multiple-choice QA) Encoded Input What does photosynthesis produce that helps plants grow? \n (A) water (B) oxygen (C) protein (D) sugar Encoded Output sugar Dataset MCTest (Multiple-choice QA) Encoded Input Who was Billy? \n (A) The skinny kid (B) A teacher ...
For a sense of the degradation in performance for the smaller sizes, here are baseline scores on the ARC Challenge and ARC Easy multiple-choice development questions. Included are variants with and without IR context from a large science corpus (corresponding to angles QMC→A and QM→A ...
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