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 801–850 of 939 papers

Title	Date	Tasks	Status	Hype
Top k Memory Candidates in Memory Networks for Common Sense Reasoning	Jan 14, 2018	Common Sense Reasoning	—Unverified	0
Winograd Schema - Knowledge Extraction Using Narrative Chains	Jan 8, 2018	Common Sense ReasoningSentence	—Unverified	0
MovieGraphs: Towards Understanding Human-Centric Situations from Videos	Dec 19, 2017	Common Sense Reasoning	—Unverified	0
Temporal Relational Reasoning in Videos	Nov 22, 2017	Action ClassificationAction Recognition	CodeCode Available	0
Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates	Nov 18, 2017	Common Sense ReasoningQuestion Answering	CodeCode Available	0
Deep Haptic Model Predictive Control for Robot-Assisted Dressing	Sep 27, 2017	Common Sense ReasoningModel Predictive Control	—Unverified	0
Identifying Restaurant Features via Sentiment Analysis on Yelp Reviews	Sep 20, 2017	Common Sense ReasoningSentiment Analysis	—Unverified	0
Using English Dictionaries to generate Commonsense Knowledge in Natural Language	Sep 1, 2017	Common Sense ReasoningNatural Language Inference	—Unverified	0
Latest News in Computational Argumentation: Surfing on the Deep Learning Wave, Scuba Diving in the Abyss of Fundamental Questions	Sep 1, 2017	Common Sense Reasoning	—Unverified	0
Story Comprehension for Predicting What Happens Next	Sep 1, 2017	Common Sense ReasoningNatural Language Understanding	—Unverified	0
Learning to Rank Semantic Coherence for Topic Segmentation	Sep 1, 2017	Common Sense ReasoningDiscourse Parsing	—Unverified	0
Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events	Aug 30, 2017	Common Sense ReasoningQuestion Answering	—Unverified	0
Unsupervised Induction of Contingent Event Pairs from Film Scenes	Aug 30, 2017	Common Sense Reasoning	—Unverified	0
Deep Style Match for Complementary Recommendation	Aug 26, 2017	Common Sense ReasoningFeature Engineering	—Unverified	0
The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants	Aug 4, 2017	2kCommon Sense Reasoning	CodeCode Available	0
TakeLab at SemEval-2017 Task 6: \#RankingHumorIn4Pages	Aug 1, 2017	Common Sense ReasoningHumor Detection	—Unverified	0
MERALI at SemEval-2017 Task 2 Subtask 1: a Cognitively Inspired approach	Aug 1, 2017	Common Sense ReasoningTask 2	—Unverified	0
ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing	Jul 25, 2017	Common Sense ReasoningWord Sense Disambiguation	—Unverified	0
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction	Jul 15, 2017	Common Sense Reasoningvalid	—Unverified	0
Developing a concept-level knowledge base for sentiment analysis in Singlish	Jul 14, 2017	Common Sense ReasoningGraph Mining	—Unverified	0
Segmentation Guided Attention Networks for Visual Question Answering	Jul 1, 2017	Common Sense ReasoningQuestion Answering	—Unverified	0
Improved Word Representation Learning with Sememes	Jul 1, 2017	Common Sense ReasoningLanguage Modeling	CodeCode Available	0
The "something something" video database for learning and evaluating visual common sense	Jun 13, 2017	Action RecognitionCommon Sense Reasoning	CodeCode Available	1
Dynamic Integration of Background Knowledge in Neural NLU Systems	Jun 8, 2017	Common Sense ReasoningNatural Language Inference	—Unverified	0
Online learnability of Statistical Relational Learning in anomaly detection	May 18, 2017	Anomaly DetectionCommon Sense Reasoning	—Unverified	0
An Aposteriorical Clusterability Criterion for k-Means++ and Simplicity of Clustering	Apr 24, 2017	ClusteringCommon Sense Reasoning	—Unverified	0
Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments	Apr 10, 2017	Common Sense ReasoningSemantic Role Labeling	—Unverified	0
A Service-Oriented Architecture for Assisting the Authoring of Semantic Crowd Maps	Apr 6, 2017	Common Sense Reasoning	—Unverified	0
TTCS^: a Vectorial Resource for Computing Conceptual Similarity	Apr 1, 2017	Common Sense Reasoning	—Unverified	0
IIT (BHU): System Description for LSDSem'17 Shared Task	Apr 1, 2017	Cloze TestCommon Sense Reasoning	—Unverified	0
Behind the Scenes of an Evolving Event Cloze Test	Apr 1, 2017	Cloze TestCommon Sense Reasoning	—Unverified	0
Aspect Extraction from Product Reviews Using Category Hierarchy Information	Apr 1, 2017	Aspect ExtractionCommon Sense Reasoning	—Unverified	0
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge	Apr 1, 2017	Common Sense ReasoningEntity Linking	—Unverified	0
Cooperating with Machines	Mar 17, 2017	Common Sense ReasoningFace Recognition	—Unverified	0
Symbol Grounding via Chaining of Morphisms	Mar 13, 2017	Common Sense Reasoning	—Unverified	0
Strongly-Typed Agents are Guaranteed to Interact Safely	Feb 24, 2017	blind source separationCommon Sense Reasoning	—Unverified	0
Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction	Feb 10, 2017	Common Sense ReasoningPrediction	—Unverified	0
Investigating the Application of Common-Sense Knowledge-Base for Identifying Term Obfuscation in Adversarial Communication	Jan 18, 2017	Common Sense ReasoningSentence	—Unverified	0
Minimally Naturalistic Artificial Intelligence	Jan 14, 2017	Common Sense ReasoningInductive Bias	—Unverified	0
Quantifier Scoping and Semantic Preferences	Jan 1, 2017	Common Sense ReasoningNatural Language Inference	—Unverified	0
Ambiguss, a game for building a Sense Annotated Corpus for French	Jan 1, 2017	Common Sense Reasoning	—Unverified	0
Handling Multiword Expressions in Causality Estimation	Jan 1, 2017	Common Sense ReasoningQuestion Answering	—Unverified	0
An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling	Jan 1, 2017	Common Sense ReasoningOpen Information Extraction	CodeCode Available	0
Correcting Contradictions	Jan 1, 2017	Common Sense ReasoningNatural Language Inference	CodeCode Available	0
Incremental Fine-grained Information Status Classification Using Attention-based LSTMs	Dec 1, 2016	ClassificationCommon Sense Reasoning	—Unverified	0
Large-Scale Acquisition of Commonsense Knowledge via a Quiz Game on a Dialogue System	Dec 1, 2016	Common Sense ReasoningQuestion Answering	—Unverified	0
Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet	Dec 1, 2016	Common Sense Reasoning	—Unverified	0
Learning from Maps: Visual Common Sense for Autonomous Driving	Nov 25, 2016	Autonomous DrivingAutonomous Vehicles	—Unverified	0
Ordinal Common-sense Inference	Nov 2, 2016	Common Sense ReasoningNatural Language Inference	—Unverified	0
Resolving Language and Vision Ambiguities Together: Joint Segmentation \& Prepositional Attachment Resolution in Captioned Scenes	Nov 1, 2016	Common Sense ReasoningPrepositional Phrase Attachment	—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