SOTAVerified

StrategyQA

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

Source: BIG-bench

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–30 of 40 papers

TitleStatusHype
Meta-prompting Optimized Retrieval-augmented Generation—0
A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions—0
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval—0
Better Retrieval May Not Lead to Better Question Answering—0
Deduction under Perturbed Evidence: Probing Student Simulation Capabilities of Large Language Models—0
Dialectical Behavior Therapy Approach to LLM Prompting—0
Fusing Bidirectional Chains of Thought and Reward Mechanisms A Method for Enhancing Question-Answering Capabilities of Large Language Models for Chinese Intangible Cultural Heritage—0
IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions—0
Improving Attributed Text Generation of Large Language Models via Preference Learning—0
Large Language Models Are Also Good Prototypical Commonsense Reasoners—0
Show:102550
← PrevPage 3 of 4Next →

No leaderboard results yet.