Common Sense Reasoning

Common sense reasoning tasks are intended to require the model to go beyond pattern recognition. Instead, the model should use "common sense" or world knowledge to make inferences.

Papers

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Showing 476–500 of 939 papers

Title	Date	Tasks	Status
Bootstrapping Developmental AIs: From Simple Competences to Intelligent Human-Compatible AIs	Aug 8, 2023	Board GamesCommon Sense Reasoning	—Unverified
DialogSum Challenge: Summarizing Real-Life Scenario Dialogues	Aug 1, 2021	Common Sense ReasoningRepresentation Learning	—Unverified
Diffusion as Reasoning: Enhancing Object Goal Navigation with LLM-Biased Diffusion Model	Oct 29, 2024	Common Sense ReasoningNavigate	—Unverified
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery	Jan 1, 2025	Common Sense ReasoningDensity Estimation	—Unverified
Distributional semantics for ontology verification	Jun 1, 2015	Common Sense Reasoning	—Unverified
DOCK: Detecting Objects by transferring Common-sense Knowledge	Apr 3, 2018	AttributeCommon Sense Reasoning	—Unverified
Does Knowledge Help General NLU? An Empirical Study	Sep 1, 2021	Common Sense ReasoningLanguage Modeling	—Unverified
Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour	Sep 26, 2022	Common Sense ReasoningPhysical Commonsense Reasoning	—Unverified
Do I look like a `cat.n.01` to you? A Taxonomy Image Generation Benchmark	Mar 13, 2025	Common Sense ReasoningImage Generation	—Unverified
Do Language Embeddings Capture Scales?	Oct 11, 2020	Common Sense Reasoning	—Unverified
Do Language Models Have Common Sense?	May 1, 2019	Common Sense ReasoningLanguage Modeling	—Unverified
Don't Just Listen, Use Your Imagination: Leveraging Visual Common Sense for Non-Visual Tasks	Feb 21, 2015	Common Sense Reasoning	—Unverified
Seeing the World through Text: Evaluating Image Descriptions for Commonsense Reasoning in Machine Reading Comprehension	Dec 1, 2020	Common Sense ReasoningMachine Reading Comprehension	—Unverified
Segmentation Guided Attention Networks for Visual Question Answering	Jul 1, 2017	Common Sense ReasoningQuestion Answering	—Unverified
Semantic Parsing for Text to 3D Scene Generation	Jun 1, 2014	Common Sense ReasoningScene Generation	—Unverified
Semantic Segmentation of RGBD Images With Mutex Constraints	Dec 1, 2015	Common Sense ReasoningScene Labeling	—Unverified
Semantic Vector Spaces for Broadening Consideration of Consequences	Feb 23, 2018	Common Sense Reasoning	—Unverified
SemEval-2018 Task 12: The Argument Reasoning Comprehension Task	Jun 1, 2018	Common Sense Reasoning	—Unverified
SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense	Apr 22, 2024	Common Sense Reasoning	—Unverified
Sense Perception Common Sense Relationships	Nov 17, 2018	Common Sense Reasoning	—Unverified
Sentiment Analysis Using a Novel Human Computation Game	Jul 1, 2012	Common Sense ReasoningGame Design	—Unverified
Sentiment Analysis - What are we talking about?	Jun 1, 2016	Common Sense ReasoningSentiment Analysis	—Unverified
SERVAL: Synergy Learning between Vertical Models and LLMs towards Oracle-Level Zero-shot Medical Prediction	Mar 3, 2024	Common Sense ReasoningDiagnostic	—Unverified
ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing	Jul 25, 2017	Common Sense ReasoningWord Sense Disambiguation	—Unverified
Shrinkage Initialization for Smooth Learning of Neural Networks	Apr 12, 2025	Common Sense Reasoning	—Unverified

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All datasets WinoGrande arc_challenge arc_easy ReCoRD CommonsenseQA PARus RuCoS RWSD BIG-bench (Causal Judgment)BIG-bench (Date Understanding)BIG-bench (Disambiguation QA)BIG-bench (Sports Understanding)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ST-MoE-32B 269B (fine-tuned)	Accuracy	96.1	—	Unverified
2	Unicorn 11B (fine-tuned)	Accuracy	91.3	—	Unverified
3	CompassMTL 567M with Tailor	Accuracy	90.5	—	Unverified
4	CompassMTL 567M	Accuracy	89.6	—	Unverified
5	UnifiedQA 11B (fine-tuned)	Accuracy	89.4	—	Unverified
6	Claude 3 Opus (5-shot)	Accuracy	88.5	—	Unverified
7	GPT-4 (5-shot)	Accuracy	87.5	—	Unverified
8	ExDeBERTa 567M	Accuracy	87	—	Unverified
9	LLaMA-2 13B + MixLoRA	Accuracy	86.3	—	Unverified
10	LLaMA3 8B+MoSLoRA	Accuracy	85.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT-4 (few-shot, k=25)	Accuracy	96.4	—	Unverified
2	PaLM 2 (few-shot, CoT, SC)	Accuracy	95.1	—	Unverified
3	Shivaay (4B, few-shot, k=8)	Accuracy	91.04	—	Unverified
4	StupidLLM	Accuracy	91.03	—	Unverified
5	Claude 2 (few-shot, k=5)	Accuracy	91	—	Unverified
6	Claude 1.3 (few-shot, k=5)	Accuracy	90	—	Unverified
7	PaLM 540B (Self Improvement, Self Consistency)	Accuracy	89.8	—	Unverified
8	PaLM 540B (Self Consistency)	Accuracy	88.7	—	Unverified
9	PaLM 540B (Self Improvement, CoT Prompting)	Accuracy	88.3	—	Unverified
10	PaLM 540B (Self Improvement, Standard-Prompting)	Accuracy	87.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ST-MoE-32B 269B (fine-tuned)	Accuracy	95.2	—	Unverified
2	LLaMA 3 8B+MoSLoRA (fine-tuned)	Accuracy	90.5	—	Unverified
3	PaLM 2-L (1-shot)	Accuracy	89.7	—	Unverified
4	PaLM 2-M (1-shot)	Accuracy	88	—	Unverified
5	LLaMA-3 8B + MixLoRA	Accuracy	86.5	—	Unverified
6	Camelidae-8×34B	Accuracy	86.2	—	Unverified
7	PaLM 2-S (1-shot)	Accuracy	85.6	—	Unverified
8	LLaMA 65B + CFG (0-shot)	Accuracy	84.2	—	Unverified
9	GAL 120B (0-shot)	Accuracy	83.8	—	Unverified
10	LLaMA-2 13B + MixLoRA	Accuracy	83.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Turing NLR v5 XXL 5.4B (fine-tuned)	EM	95.9	—	Unverified
2	ST-MoE-32B 269B (fine-tuned)	EM	95.1	—	Unverified
3	T5-11B	F1	94.1	—	Unverified
4	DeBERTa-1.5B	EM	94.1	—	Unverified
5	PaLM 540B (finetuned)	EM	94	—	Unverified
6	Vega v2 6B (fine-tuned)	EM	93.9	—	Unverified
7	PaLM 2-L (one-shot)	F1	93.8	—	Unverified
8	T5-XXL 11B (fine-tuned)	EM	93.4	—	Unverified
9	PaLM 2-M (one-shot)	F1	92.4	—	Unverified
10	PaLM 2-S (one-shot)	F1	92.1	—	Unverified