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StrategyQA

StrategyQA aims to measure the ability of models to answer questions that require multi-step implicit reasoning.

Source: BIG-bench

Papers

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Showing 31–40 of 40 papers

TitleStatusHype
Tailoring Self-Rationalizers with Multi-Reward DistillationCode0
Large Language Models Are Also Good Prototypical Commonsense Reasoners—0
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval—0
Teaching Smaller Language Models To Generalise To Unseen Compositional QuestionsCode0
Deduction under Perturbed Evidence: Probing Student Simulation Capabilities of Large Language Models—0
Hint of Thought prompting: an explainable and zero-shot approach to reasoning tasks with LLMs—0
Self-Evaluation Guided Beam Search for Reasoning—0
Distilling Reasoning Capabilities into Smaller Language ModelsCode0
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts—0
Better Retrieval May Not Lead to Better Question Answering—0
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