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 601650 of 939 papers

TitleStatusHype
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning0
Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation0
Vision-Language Models Provide Promptable Representations for Reinforcement Learning0
VisualBackProp for learning using privileged information with CNNs0
Visual-O1: Understanding Ambiguous Instructions via Multi-modal Multi-turn Chain-of-thoughts Reasoning0
Visual Question Answering as Reading Comprehension0
Visual Relationship Detection Based on Guided Proposals and Semantic Knowledge Distillation0
Visual search and recognition for robot task execution and monitoring0
VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks0
VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model0
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings0
We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter0
What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models?0
What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments0
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities0
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models0
Why Does the VQA Model Answer No?: Improving Reasoning through Visual and Linguistic Inference0
Why Do Masked Neural Language Models Still Need Common Sense Knowledge?0
Wikipedia-based Semantic Interpretation for Natural Language Processing0
Winograd Schema - Knowledge Extraction Using Narrative Chains0
WinoWhat: A Parallel Corpus of Paraphrased WinoGrande Sentences with Common Sense Categorization0
Witscript 2: A System for Generating Improvised Jokes Without Wordplay0
Witscript 3: A Hybrid AI System for Improvising Jokes in a Conversation0
Zero-Shot Calibration of Fisheye Cameras0
Zero-Shot Learning with Common Sense Knowledge Graphs0
0/1 Deep Neural Networks via Block Coordinate Descent0
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living0
Large Language Models as Common-Sense Heuristics0
Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection0
Large Language Models Can Self-Improve0
Large Language Models Fail on Trivial Alterations to Theory-of-Mind Tasks0
Large-Scale Acquisition of Commonsense Knowledge via a Quiz Game on a Dialogue System0
Latest News in Computational Argumentation: Surfing on the Deep Learning Wave, Scuba Diving in the Abyss of Fundamental Questions0
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models0
Learning-based Practical Smartphone Eavesdropping with Built-in Accelerometer0
Learning Common Sense Through Visual Abstraction0
Learning Continuous 3D Reconstructions for Geometrically Aware Grasping0
Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events0
Learning from Maps: Visual Common Sense for Autonomous Driving0
Learning Object Placement by Inpainting for Compositional Data Augmentation0
Learning Open Information Extraction of Implicit Relations from Reading Comprehension Datasets0
Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization0
Learning Prototypical Event Structure from Photo Albums0
Learning Semantic Script Knowledge with Event Embeddings0
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks0
Learning Spatial Knowledge for Text to 3D Scene Generation0
Learning the Impact and Behavior of Syntactic Structure: A Case Study in Semantic Textual Similarity0
Learning to Rank Semantic Coherence for Topic Segmentation0
Learning to ``Read Between the Lines'' using Bayesian Logic Programs0
Legal Prompting: Teaching a Language Model to Think Like a Lawyer0
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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