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 701750 of 939 papers

TitleStatusHype
Abductive Reasoning as Self-Supervision for Common Sense Question Answering0
KagNet: Knowledge-Aware Graph Networks for Commonsense ReasoningCode1
An Improved Neural Baseline for Temporal Relation Extraction0
Visual Question Answering using Deep Learning: A Survey and Performance AnalysisCode0
Improving Neural Story Generation by Targeted Common Sense GroundingCode0
DAST Model: Deciding About Semantic Complexity of a Text0
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models0
Reasoning-Driven Question-Answering for Natural Language Understanding0
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
Knowledge Aware Semantic Concept Expansion for Image-Text Matching0
Processamento de linguagem natural em Português e aprendizagem profunda para o domínio de Óleo e Gás0
A Hybrid Neural Network Model for Commonsense Reasoning0
RoBERTa: A Robustly Optimized BERT Pretraining ApproachCode1
WinoGrande: An Adversarial Winograd Schema Challenge at ScaleCode1
Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label DistributionsCode0
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionCode0
A Statistical View on Synthetic Aperture Imaging for Occlusion Removal0
Explain Yourself! Leveraging Language Models for Commonsense ReasoningCode0
Does It Make Sense? And Why? A Pilot Study for Sense Making and ExplanationCode1
CODAH: An Adversarially-Authored Question Answering Dataset for Common SenseCode0
Learning Open Information Extraction of Implicit Relations from Reading Comprehension Datasets0
A Surprisingly Robust Trick for Winograd Schema ChallengeCode1
Do Language Models Have Common Sense?0
Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning0
SocialIQA: Commonsense Reasoning about Social InteractionsCode0
Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge0
CITE: A Corpus of Image-Text Discourse RelationsCode0
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios0
CODAH: An Adversarially Authored Question-Answer Dataset for Common SenseCode0
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning0
Image Generation From Small Datasets via Batch Statistics AdaptationCode1
Asking the Right Question: Inferring Advice-Seeking Intentions from Personal NarrativesCode0
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human NeedsCode0
RoboCSE: Robot Common Sense Embedding0
Language Models are Unsupervised Multitask LearnersCode1
Fake News Detection on Social Media using Geometric Deep LearningCode1
Visual search and recognition for robot task execution and monitoring0
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks0
We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter0
Visual Question Answering as Reading Comprehension0
Attentioned Convolutional LSTM InpaintingNetwork for Anomaly Detection in Videos0
Sense Perception Common Sense Relationships0
Compositional Language Understanding with Text-based Relational ReasoningCode0
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAGCode0
CommonsenseQA: A Question Answering Challenge Targeting Commonsense KnowledgeCode1
The Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora ResolutionCode0
Interactive health insight miner: an adaptive, semantic-based approach0
An End-to-End Multi-task Learning Model for Fact Checking0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension0
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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