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 176–200 of 939 papers

Title	Date	Tasks	Status	Hype
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation	Jun 9, 2024	Common Sense ReasoningDenoising	CodeCode Available	1
Event2Mind for Russian: Understanding Emotions and Intents in Texts. Corpus and Model for Evaluation	Jun 17, 2020	Common Sense Reasoning	CodeCode Available	1
Generative Data Augmentation for Commonsense Reasoning	Apr 24, 2020	Common Sense ReasoningCoreference Resolution	CodeCode Available	1
Improving Visual Commonsense in Language Models via Multiple Image Generation	Jun 19, 2024	Common Sense ReasoningImage Generation	CodeCode Available	1
Playing Codenames with Language Graphs and Word Embeddings	May 12, 2021	Board GamesCommon Sense Reasoning	CodeCode Available	1
An Improved Neural Baseline for Temporal Relation Extraction	Sep 1, 2019	Common Sense ReasoningNatural Language Understanding	—Unverified	0
Benchmarks for Automated Commonsense Reasoning: A Survey	Feb 9, 2023	Common Sense ReasoningSurvey	—Unverified	0
Belief Scene Graphs: Expanding Partial Scenes with Objects through Computation of Expectation	Feb 6, 2024	Common Sense ReasoningTask Planning	—Unverified	0
An Hymn of an even Deeper Sentiment Analysis	Jun 1, 2016	Common Sense ReasoningSemantic Role Labeling	—Unverified	0
LLM-Advisor: An LLM Benchmark for Cost-efficient Path Planning across Multiple Terrains	Mar 3, 2025	Common Sense ReasoningHallucination	—Unverified	0
Behind the Scenes of an Evolving Event Cloze Test	Apr 1, 2017	Cloze TestCommon Sense Reasoning	—Unverified	0
Deep Haptic Model Predictive Control for Robot-Assisted Dressing	Sep 27, 2017	Common Sense ReasoningModel Predictive Control	—Unverified	0
A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge	Apr 1, 2014	Common Sense ReasoningQuestion Answering	—Unverified	0
Deep Distilling: automated code generation using explainable deep learning	Nov 16, 2021	Code GenerationCommon Sense Reasoning	—Unverified	0
Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints	Apr 9, 2024	Common Sense ReasoningDeep Reinforcement Learning	—Unverified	0
Deep Style Match for Complementary Recommendation	Aug 26, 2017	Common Sense ReasoningFeature Engineering	—Unverified	0
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema	Apr 16, 2021	Artifact DetectionBias Detection	—Unverified	0
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others	Feb 23, 2021	Common Sense Reasoning	—Unverified	0
An End-to-End Multi-task Learning Model for Fact Checking	Nov 1, 2018	Common Sense ReasoningEntity Linking	—Unverified	0
A vision-grounded dataset for predicting typical locations for verbs	May 1, 2018	Common Sense ReasoningImage Captioning	—Unverified	0
An Application of Pseudo-Log-Likelihoods to Natural Language Scoring	Jan 23, 2022	Common Sense ReasoningGPU	—Unverified	0
Abductive Reasoning as Self-Supervision for Common Sense Question Answering	Sep 6, 2019	Common Sense ReasoningDomain Adaptation	—Unverified	0
A Vision for Semantically Enriched Data Science	Mar 2, 2023	Common Sense ReasoningData Augmentation	—Unverified	0
A very preliminary analysis of DALL-E 2	Apr 25, 2022	Common Sense Reasoning	—Unverified	0
An Aposteriorical Clusterability Criterion for k-Means++ and Simplicity of Clustering	Apr 24, 2017	ClusteringCommon Sense Reasoning	—Unverified	0

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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