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 276–300 of 939 papers

Title	Date	Tasks	Status	Score
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models	Jul 4, 2024	Common Sense ReasoningReinforcement Learning (RL)	CodeCode Available	5
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems	Sep 15, 2021	Common Sense ReasoningConversational Recommendation	CodeCode Available	5
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity	Oct 28, 2022	Common Sense ReasoningDistributed Optimization	CodeCode Available	5
Empirical Analysis of Foundational Distinctions in Linked Open Data	Mar 26, 2018	Common Sense ReasoningNatural Language Understanding	CodeCode Available	5
Embodied Image Quality Assessment for Robotic Intelligence	Dec 25, 2024	Common Sense ReasoningImage Quality Assessment	CodeCode Available	5
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense	Apr 8, 2019	Common Sense ReasoningQuestion Answering	CodeCode Available	5
Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference	Feb 21, 2022	Common Sense ReasoningModel Selection	CodeCode Available	5
Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates	Nov 18, 2017	Common Sense ReasoningQuestion Answering	CodeCode Available	5
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation	Nov 3, 2022	Common Sense ReasoningDialogue Generation	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
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering	Sep 9, 2019	Common Sense ReasoningGraph Attention	CodeCode Available	5
Elaboration-Generating Commonsense Question Answering at Scale	Sep 2, 2022	Common Sense ReasoningQuestion Answering	CodeCode Available	5
Editing Common Sense in Transformers	May 24, 2023	Common Sense ReasoningModel Editing	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
Garbage in, garbage out: Zero-shot detection of crime using Large Language Models	Jul 4, 2023	Common Sense ReasoningLanguage Modeling	CodeCode Available	5
DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing Mechanism	Apr 1, 2025	Common Sense ReasoningComputational Efficiency	CodeCode Available	5
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
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction	Jun 19, 2019	Common Sense ReasoningLanguage Modelling	CodeCode Available	5
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models	Feb 27, 2024	Common Sense ReasoningQuestion Answering	CodeCode Available	5
FLIP Reasoning Challenge	Apr 16, 2025	Common Sense Reasoningimage-classification	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
Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning	Nov 1, 2018	Argument MiningCommon Sense Reasoning	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

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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