Question Answering On Truthfulqa

Metrics

Results

Performance results of various models on this benchmark

Model Name	EM	Paper Title	Repository
CoA	67.3	Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models	-
Gopher 280B (zero-shot, QA prompts)	-	Scaling Language Models: Methods, Analysis & Insights from Training Gopher	-
LLaMA 65B	-	LLaMA: Open and Efficient Foundation Language Models	-
GPT-2 1.5B	-	TruthfulQA: Measuring How Models Mimic Human Falsehoods	-
Shakti-LLM (2.5B)	-	SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments	-
LLaMA-2-Chat-13B + Representation Control (Contrast Vector)	-	Representation Engineering: A Top-Down Approach to AI Transparency	-
GAL 6.7B	-	Galactica: A Large Language Model for Science	-
Vicuna 7B + Inference Time Intervention (ITI)	-	-	-
GAL 30B	-	Galactica: A Large Language Model for Science	-
GAL 1.3B	-	Galactica: A Large Language Model for Science	-
Gopher 7.1 (zero-shot, QA prompts)	-	Scaling Language Models: Methods, Analysis & Insights from Training Gopher	-
CoA w/o actions	63.3	Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models	-
ToT	66.6	Tree of Thoughts: Deliberate Problem Solving with Large Language Models	-
Gopher 7.1B (zero-shot, Our Prompt + Choices)	-	Scaling Language Models: Methods, Analysis & Insights from Training Gopher	-
LLaMa-2-7B-Chat + TruthX	-	TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space	-
GAL 120B	-	Galactica: A Large Language Model for Science	-
LLaMA 7B	-	LLaMA: Open and Efficient Foundation Language Models	-
UnifiedQA 3B	-	TruthfulQA: Measuring How Models Mimic Human Falsehoods	-
Gopher 1.4 (zero-shot, QA prompts)	-	Scaling Language Models: Methods, Analysis & Insights from Training Gopher	-
GAL 125M	-	Galactica: A Large Language Model for Science	-

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