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

Showing 201250 of 939 papers

TitleStatusHype
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched ContextualizationCode0
CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVECode0
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional DataCode0
LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model CompressionCode0
AmbiK: Dataset of Ambiguous Tasks in Kitchen EnvironmentCode0
LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and OptimizationCode0
Correcting ContradictionsCode0
PaCo: Preconditions Attributed to Commonsense KnowledgeCode0
Learning structure-aware semantic segmentation with image-level supervisionCode0
CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language ModelsCode0
COPA-SSE: Semi-structured Explanations for Commonsense ReasoningCode0
Modeling Event Plausibility with Consistent Conceptual AbstractionCode0
COPAL-ID: Indonesian Language Reasoning with Local Culture and NuancesCode0
Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Bandit Feedback to Learn Families of Text-Based Adventure GamesCode0
Large Language Models Need Consultants for Reasoning: Becoming an Expert in a Complex Human System Through Behavior SimulationCode0
Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label DistributionsCode0
Contextualized Scene Imagination for Generative Commonsense ReasoningCode0
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph GenerationCode0
From Recognition to Prediction: Leveraging Sequence Reasoning for Action AnticipationCode0
Knowledge-Driven Robot Program Synthesis from Human VR DemonstrationsCode0
“It doesn’t look good for a date”: Transforming Critiques into Preferences for Conversational Recommendation SystemsCode0
KC-ISA: An Implicit Sentiment Analysis Model Combining Knowledge Enhancement and Context FeaturesCode0
Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun PhrasesCode0
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation SystemsCode0
Learning Low-Level Causal Relations using a Simulated Robotic ArmCode0
Modeling User Exposure in RecommendationCode0
Incorporating Chinese Characters of Words for Lexical Sememe PredictionCode0
Improving Neural Story Generation by Targeted Common Sense GroundingCode0
Deep contextualized word representations for detecting sarcasm and ironyCode0
Improved Word Representation Learning with SememesCode0
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language ModelsCode0
Inferring spatial relations from textual descriptions of imagesCode0
A Survey of Video Datasets for Grounded Event UnderstandingCode0
Hybrid Reasoning Based on Large Language Models for Autonomous Car DrivingCode0
Identifying relevant common sense information in knowledge graphsCode0
Information Gain Is Not All You NeedCode0
Compositional Language Understanding with Text-based Relational ReasoningCode0
A surprisal oracle for when every layer countsCode0
A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environmentCode0
Hierarchical Spatial Proximity Reasoning for Vision-and-Language NavigationCode0
HL Dataset: Visually-grounded Description of Scenes, Actions and RationalesCode0
Human-AI collectives produce the most accurate differential diagnosesCode0
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question AnsweringCode0
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational ComplexityCode0
Detecting Persuasive Atypicality by Modeling Contextual CompatibilityCode0
Being Right for Whose Right Reasons?Code0
GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model AgentsCode0
Common Sense Bias in Semantic Role LabelingCode0
GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension taskCode0
Asking the Right Question: Inferring Advice-Seeking Intentions from Personal NarrativesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-MoE-32B 269B (fine-tuned)Accuracy96.1Unverified
2Unicorn 11B (fine-tuned)Accuracy91.3Unverified
3CompassMTL 567M with TailorAccuracy90.5Unverified
4CompassMTL 567MAccuracy89.6Unverified
5UnifiedQA 11B (fine-tuned)Accuracy89.4Unverified
6Claude 3 Opus (5-shot)Accuracy88.5Unverified
7GPT-4 (5-shot)Accuracy87.5Unverified
8ExDeBERTa 567MAccuracy87Unverified
9LLaMA-2 13B + MixLoRAAccuracy86.3Unverified
10LLaMA3 8B+MoSLoRAAccuracy85.8Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4 (few-shot, k=25)Accuracy96.4Unverified
2PaLM 2 (few-shot, CoT, SC)Accuracy95.1Unverified
3Shivaay (4B, few-shot, k=8)Accuracy91.04Unverified
4StupidLLMAccuracy91.03Unverified
5Claude 2 (few-shot, k=5)Accuracy91Unverified
6Claude 1.3 (few-shot, k=5)Accuracy90Unverified
7PaLM 540B (Self Improvement, Self Consistency)Accuracy89.8Unverified
8PaLM 540B (Self Consistency)Accuracy88.7Unverified
9PaLM 540B (Self Improvement, CoT Prompting)Accuracy88.3Unverified
10PaLM 540B (Self Improvement, Standard-Prompting)Accuracy87.2Unverified
#ModelMetricClaimedVerifiedStatus
1ST-MoE-32B 269B (fine-tuned)Accuracy95.2Unverified
2LLaMA 3 8B+MoSLoRA (fine-tuned)Accuracy90.5Unverified
3PaLM 2-L (1-shot)Accuracy89.7Unverified
4PaLM 2-M (1-shot)Accuracy88Unverified
5LLaMA-3 8B + MixLoRAAccuracy86.5Unverified
6Camelidae-8×34BAccuracy86.2Unverified
7PaLM 2-S (1-shot)Accuracy85.6Unverified
8LLaMA 65B + CFG (0-shot)Accuracy84.2Unverified
9GAL 120B (0-shot)Accuracy83.8Unverified
10LLaMA-2 13B + MixLoRAAccuracy83.5Unverified
#ModelMetricClaimedVerifiedStatus
1Turing NLR v5 XXL 5.4B (fine-tuned)EM95.9Unverified
2ST-MoE-32B 269B (fine-tuned)EM95.1Unverified
3T5-11BF194.1Unverified
4DeBERTa-1.5BEM94.1Unverified
5PaLM 540B (finetuned)EM94Unverified
6Vega v2 6B (fine-tuned)EM93.9Unverified
7PaLM 2-L (one-shot)F193.8Unverified
8T5-XXL 11B (fine-tuned)EM93.4Unverified
9PaLM 2-M (one-shot)F192.4Unverified
10PaLM 2-S (one-shot)F192.1Unverified