Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning

Rank analysis of incomplete block designs the method of paired comparisons

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Measuring massive multitask language understanding

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Concrete problems in ai safety

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Beam search strategies for neural machine translation

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Think you have solved question answering? try arc, the ai2 reasoning challenge

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Reclor: A reading comprehension dataset requiring logical reasoning

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Program synthesis with large language models

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Training verifiers to solve math word problems

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Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies

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Measuring mathematical problem solving with the math dataset

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Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, and Jacob Steinhardt. 2021 · 2021

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Logiqa: a challenge dataset for machine reading comprehension with logical reasoning

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Solving math word problems with process-based and outcome-based feedback

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Star: Bootstrapping reasoning with reasoning

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Gpt-4 technical report

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Opencompass: A universal evaluation platform for foundation models

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Scaling laws for reward model overoptimization

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Instructcoder: Empowering language models for code editing

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Alpacaeval: An automatic evaluator of instruction-following models

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Let’s verify step by step

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Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, and Karl Cobbe. 2023 · 2023

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Gpqa: A graduate-level google-proof q&a benchmark

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Gemini: a family of highly capable multimodal models

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Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants

Teknium. 2023 · 2023

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A general theoretical paradigm to understand learning from human preferences

Qwq: Reflect deeply on the boundaries of the unknown

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Direct preference optimization: Your language model is secretly a reward model

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Deepseekmath: Pushing the limits of mathematical reasoning in open language models

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Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, YK Li, Y Wu, et al. 2024 · 2024

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Openmathinstruct-1: A 1.8 million math instruction tuning dataset

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Shubham Toshniwal, Ivan Moshkov, Sean Narenthiran, Daria Gitman, Fei Jia, and Igor Gitman. 2024 · 2024

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Reft: Reasoning with reinforced fine-tuning

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