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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 21–30 of 40 papers

TitleStatusHype
IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions—0
The ART of LLM Refinement: Ask, Refine, and Trust—0
Tailoring Self-Rationalizers with Multi-Reward DistillationCode0
Improving Planning with Large Language Models: A Modular Agentic ArchitectureCode1
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
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive TasksCode1
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
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