SOTAVerified

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
Rationale-Aware Answer Verification by Pairwise Self-EvaluationCode0
A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions—0
Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning—0
Meta-prompting Optimized Retrieval-augmented Generation—0
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks—0
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning—0
Improving Attributed Text Generation of Large Language Models via Preference Learning—0
Towards Uncertainty-Aware Language Agent—0
IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions—0
The ART of LLM Refinement: Ask, Refine, and Trust—0
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