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Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Paper • 1705.04146 • Published • 1 -
Training Verifiers to Solve Math Word Problems
Paper • 2110.14168 • Published • 4 -
Explaining Math Word Problem Solvers
Paper • 2307.13128 • Published • 1 -
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
Paper • 1905.13319 • Published • 2
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Collections including paper arxiv:2110.14168
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Paper • 1801.03924 • Published • 2 -
Fine-Tuning Language Models from Human Preferences
Paper • 1909.08593 • Published • 2 -
Training Verifiers to Solve Math Word Problems
Paper • 2110.14168 • Published • 4 -
Learning Transferable Visual Models From Natural Language Supervision
Paper • 2103.00020 • Published • 11
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Training Verifiers to Solve Math Word Problems
Paper • 2110.14168 • Published • 4 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 18 -
LiteSearch: Efficacious Tree Search for LLM
Paper • 2407.00320 • Published • 37 -
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 32
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Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 45 -
Measuring Massive Multitask Language Understanding
Paper • 2009.03300 • Published • 3 -
HellaSwag: Can a Machine Really Finish Your Sentence?
Paper • 1905.07830 • Published • 4 -
PIQA: Reasoning about Physical Commonsense in Natural Language
Paper • 1911.11641 • Published • 2
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Large Language Model Alignment: A Survey
Paper • 2309.15025 • Published • 2 -
Aligning Large Language Models with Human: A Survey
Paper • 2307.12966 • Published • 1 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 43 -
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF
Paper • 2310.05344 • Published • 1