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Question Answering On Strategyqa

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	Paper Title	Repository
Rethinking with retrieval (GPT-3)	77.73	Rethinking with Retrieval: Faithful Large Language Model Inference
SearchChain	-	Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
PaLM 540B	76.4	Transcending Scaling Laws with 0.1% Extra Compute	-
Least-to-Most	-	Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Self-Evaluation Guided Decoding (Codex, CoT, single reasoning chain, 6-shot gen, 4-shot eval)	77.2	-	-
SearchChain	-	Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
CoA w/o actions	-	Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
CoA	-	Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
Least-to-Most	-	Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
U-PaLM 540B	76.6	Transcending Scaling Laws with 0.1% Extra Compute	-
Minerva 540B	61.9	Transcending Scaling Laws with 0.1% Extra Compute	-
PaLM 2 (few-shot, CoT, SC)	90.4	PaLM 2 Technical Report

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Question Answering On Strategyqa | SOTA | HyperAI