SOTAVerified

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 651–700 of 939 papers

TitleStatusHype
A Logic-based Approach for Recognizing Textual Entailment Supported by Ontological Background Knowledge—0
A Machine Consciousness architecture based on Deep Learning and Gaussian Processes—0
A mathematical theory of super-resolution and two-point resolution—0
Ambiguss, a game for building a Sense Annotated Corpus for French—0
A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task—0
A Multimodal Social Agent—0
Analogical Proportions—0
An Aposteriorical Clusterability Criterion for k-Means++ and Simplicity of Clustering—0
An Application of Pseudo-Log-Likelihoods to Natural Language Scoring—0
An End-to-End Multi-task Learning Model for Fact Checking—0
An Hymn of an even Deeper Sentiment Analysis—0
An Improved Neural Baseline for Temporal Relation Extraction—0
An Informational Space Based Semantic Analysis for Scientific Texts—0
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking—0
A note on bequest preferences in utility maximisation for modern tontines—0
An Overview Of Temporal Commonsense Reasoning and Acquisition—0
A Perspective on Large Language Models, Intelligent Machines, and Knowledge Acquisition—0
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion—0
A primer on getting neologisms from foreign languages to under-resourced languages—0
A Reliable Common-Sense Reasoning Socialbot Built Using LLMs and Goal-Directed ASP—0
Are Social Sentiments Inherent in LLMs? An Empirical Study on Extraction of Inter-demographic Sentiments—0
A Review on Objective-Driven Artificial Intelligence—0
Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G—0
A Rule-Based Approach to Aspect Extraction from Product Reviews—0
A Service-Oriented Architecture for Assisting the Authoring of Semantic Crowd Maps—0
Ask Me What You Need: Product Retrieval using Knowledge from GPT-3—0
Aspect Extraction from Product Reviews Using Category Hierarchy Information—0
Assessment of cognitive characteristics in intelligent systems and predictive ability—0
Assisting human experts in the interpretation of their visual process: A case study on assessing copper surface adhesive potency—0
A Statistical View on Synthetic Aperture Imaging for Occlusion Removal—0
A Strong Lexical Matching Method for the Machine Comprehension Test—0
A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives—0
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis—0
A Survey on Semantics in Automated Data Science—0
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions—0
A Systematic Survey of Text Worlds as Embodied Natural Language Environments—0
A Systematic Survey of Text Worlds as Embodied Natural Language Environments—0
A Theory of Human-Like Few-Shot Learning—0
ATLAS: Learning to Optimally Memorize the Context at Test Time—0
A Tool for Extracting Conversational Implicatures—0
Attentioned Convolutional LSTM InpaintingNetwork for Anomaly Detection in Videos—0
Stereotype Detection in LLMs: A Multiclass, Explainable, and Benchmark-Driven Approach—0
Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection—0
Augmented Translation: A New Approach to Combining Human and Machine Capabilities—0
Augmenting Autotelic Agents with Large Language Models—0
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning—0
Automatic Adaptation Rule Optimization via Large Language Models—0
Automatic Enrichment of WordNet with Common-Sense Knowledge—0
Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet—0
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All datasetsWinoGrandearc_challengearc_easyReCoRDCommonsenseQAPARusRuCoSRWSDBIG-bench (Causal Judgment)BIG-bench (Date Understanding)BIG-bench (Disambiguation QA)BIG-bench (Sports Understanding)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-MoE-32B 269B (fine-tuned)Accuracy96.1—Unverified
2Unicorn 11B (fine-tuned)Accuracy91.3—Unverified
3CompassMTL 567M with TailorAccuracy90.5—Unverified
4CompassMTL 567MAccuracy89.6—Unverified
5UnifiedQA 11B (fine-tuned)Accuracy89.4—Unverified
6Claude 3 Opus (5-shot)Accuracy88.5—Unverified
7GPT-4 (5-shot)Accuracy87.5—Unverified
8ExDeBERTa 567MAccuracy87—Unverified
9LLaMA-2 13B + MixLoRAAccuracy86.3—Unverified
10LLaMA3 8B+MoSLoRAAccuracy85.8—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4 (few-shot, k=25)Accuracy96.4—Unverified
2PaLM 2 (few-shot, CoT, SC)Accuracy95.1—Unverified
3Shivaay (4B, few-shot, k=8)Accuracy91.04—Unverified
4StupidLLMAccuracy91.03—Unverified
5Claude 2 (few-shot, k=5)Accuracy91—Unverified
6Claude 1.3 (few-shot, k=5)Accuracy90—Unverified
7PaLM 540B (Self Improvement, Self Consistency)Accuracy89.8—Unverified
8PaLM 540B (Self Consistency)Accuracy88.7—Unverified
9PaLM 540B (Self Improvement, CoT Prompting)Accuracy88.3—Unverified
10PaLM 540B (Self Improvement, Standard-Prompting)Accuracy87.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ST-MoE-32B 269B (fine-tuned)Accuracy95.2—Unverified
2LLaMA 3 8B+MoSLoRA (fine-tuned)Accuracy90.5—Unverified
3PaLM 2-L (1-shot)Accuracy89.7—Unverified
4PaLM 2-M (1-shot)Accuracy88—Unverified
5LLaMA-3 8B + MixLoRAAccuracy86.5—Unverified
6Camelidae-8×34BAccuracy86.2—Unverified
7PaLM 2-S (1-shot)Accuracy85.6—Unverified
8LLaMA 65B + CFG (0-shot)Accuracy84.2—Unverified
9GAL 120B (0-shot)Accuracy83.8—Unverified
10LLaMA-2 13B + MixLoRAAccuracy83.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Turing NLR v5 XXL 5.4B (fine-tuned)EM95.9—Unverified
2ST-MoE-32B 269B (fine-tuned)EM95.1—Unverified
3T5-11BF194.1—Unverified
4DeBERTa-1.5BEM94.1—Unverified
5PaLM 540B (finetuned)EM94—Unverified
6Vega v2 6B (fine-tuned)EM93.9—Unverified
7PaLM 2-L (one-shot)F193.8—Unverified
8T5-XXL 11B (fine-tuned)EM93.4—Unverified
9PaLM 2-M (one-shot)F192.4—Unverified
10PaLM 2-S (one-shot)F192.1—Unverified