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 301–325 of 939 papers

Title	Date	Tasks	Status	Score
AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles	Apr 1, 2024	Common Sense ReasoningMultiple-choice	CodeCode Available	5
Hierarchical Spatial Proximity Reasoning for Vision-and-Language Navigation	Mar 18, 2024	Common Sense ReasoningEfficient Exploration	CodeCode Available	5
GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model Agents	Oct 19, 2023	Common Sense ReasoningForm	CodeCode Available	5
GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension task	Jun 1, 2018	Common Sense ReasoningNatural Language Inference	CodeCode Available	5
Explain Yourself! Leveraging Language Models for Commonsense Reasoning	Jun 6, 2019	Common Sense ReasoningForm	CodeCode Available	5
CITE: A Corpus of Image-Text Discourse Relations	Apr 12, 2019	Common Sense Reasoning	CodeCode Available	5
Don't Fight Hallucinations, Use Them: Estimating Image Realism using NLI over Atomic Facts	Mar 20, 2025	Common Sense ReasoningNatural Language Inference	CodeCode Available	5
Do Machine Learning Models Learn Statistical Rules Inferred from Data?	Mar 2, 2023	Common Sense ReasoningImputation	CodeCode Available	5
Learning to Predict Concept Ordering for Common Sense Generation	Sep 12, 2023	Common Sense ReasoningSentence	CodeCode Available	5
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity	Oct 28, 2022	Common Sense ReasoningDistributed Optimization	CodeCode Available	5
Do Language Models Understand Morality? Towards a Robust Detection of Moral Content	Jun 6, 2024	Common Sense ReasoningNatural Language Inference	CodeCode Available	5
Garbage in, garbage out: Zero-shot detection of crime using Large Language Models	Jul 4, 2023	Common Sense ReasoningLanguage Modeling	CodeCode Available	5
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction	Jun 19, 2019	Common Sense ReasoningLanguage Modelling	CodeCode Available	5
FLIP Reasoning Challenge	Apr 16, 2025	Common Sense Reasoningimage-classification	CodeCode Available	5
DKN: Deep Knowledge-Aware Network for News Recommendation	Jan 25, 2018	Click-Through Rate PredictionCommon Sense Reasoning	CodeCode Available	5
Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning	Nov 1, 2018	Argument MiningCommon Sense Reasoning	CodeCode Available	5
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering	Sep 9, 2019	Common Sense ReasoningGraph Attention	CodeCode Available	5
Improved Word Representation Learning with Sememes	Jul 1, 2017	Common Sense ReasoningLanguage Modeling	CodeCode Available	5
Learning Low-Level Causal Relations using a Simulated Robotic Arm	Oct 10, 2024	Common Sense ReasoningDimensionality Reduction	CodeCode Available	5
Distributional semantics for ontology verification	Jun 1, 2015	Common Sense Reasoning	—Unverified	0
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery	Jan 1, 2025	Common Sense ReasoningDensity Estimation	—Unverified	0
Diffusion as Reasoning: Enhancing Object Goal Navigation with LLM-Biased Diffusion Model	Oct 29, 2024	Common Sense ReasoningNavigate	—Unverified	0
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
DialogSum Challenge: Summarizing Real-Life Scenario Dialogues	Aug 1, 2021	Common Sense ReasoningRepresentation Learning	—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