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 551600 of 939 papers

TitleStatusHype
DialogSum: A Real-Life Scenario Dialogue Summarization DatasetCode1
Playing Codenames with Language Graphs and Word EmbeddingsCode1
Unreasonable Effectiveness of Rule-Based Heuristics in Solving Russian SuperGLUE Tasks0
Scalar Adjective Identification and Multilingual Ranking0
Revisiting Citizen Science Through the Lens of Hybrid Intelligence0
Why AI is Harder Than We ThinkCode1
Morph Call: Probing Morphosyntactic Content of Multilingual TransformersCode0
Modeling Event Plausibility with Consistent Conceptual AbstractionCode0
Probing Commonsense Explanation in Dialogue Response Generation0
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation0
PaCo: Preconditions Attributed to Commonsense KnowledgeCode0
Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual EnvironmentsCode1
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema0
Learning structure-aware semantic segmentation with image-level supervisionCode0
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question AnsweringCode1
Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance0
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World KnowledgeCode1
It’s Commonsense, isn’t it? Demystifying Human Evaluations in Commonsense-Enhanced NLG Systems0
Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model AlignmentsCode1
K-XLNet: A General Method for Combining Explicit Knowledge with Language Model Pretraining0
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask BenchmarkCode1
Common Sense Knowledge, Ontology and Text Mining for Implicit Requirements0
Constrained Text Generation with Global Guidance -- Case Study on CommonGen0
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others0
Inferring spatial relations from textual descriptions of imagesCode0
Muppet: Massive Multi-task Representations with Pre-FinetuningCode0
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors0
EventPlus: A Temporal Event Understanding PipelineCode1
A design of human-like robust AI machines in object identification0
Extraction of Common-Sense Relations from Procedural Task Instructions using BERT0
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship DetectionCode1
Detecting Persuasive Atypicality by Modeling Contextual CompatibilityCode0
Pre-training Text-to-Text Transformers to Write and Reason with Concepts0
A Bayesian-Symbolic Approach to Learning and Reasoning for Intuitive Physics0
Median DC for Sign Recovery: Privacy can be Achieved by Deterministic Algorithms0
Conflict-driven Inductive Logic Programming0
Design Knowledge Representation with Technology Semantic Network0
Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings0
My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring MechanismCode0
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 20190
Exploring and Analyzing Machine Commonsense Benchmarks0
Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection0
Can Transformers Reason About Effects of Actions?0
Computational principles of intelligence: learning and reasoning with neural networks0
Deliberative and Conceptual Inference in Service RobotsCode0
Fusing Context Into Knowledge Graph for Commonsense Question AnsweringCode1
Playing Text-Based Games with Common Sense0
How Can We Know When Language Models Know? On the Calibration of Language Models for Question AnsweringCode1
Seeing the World through Text: Evaluating Image Descriptions for Commonsense Reasoning in Machine Reading Comprehension0
HR@JUST Team at SemEval-2020 Task 4: The Impact of RoBERTa Transformer for Evaluation Common Sense Understanding0
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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