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 101150 of 939 papers

TitleStatusHype
Large Language Models Are Not Strong Abstract ReasonersCode1
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive PrinciplesCode1
How Can We Know When Language Models Know? On the Calibration of Language Models for Question AnsweringCode1
HAZARD Challenge: Embodied Decision Making in Dynamically Changing EnvironmentsCode1
HeadlineCause: A Dataset of News Headlines for Detecting CausalitiesCode1
Human Parity on CommonsenseQA: Augmenting Self-Attention with External AttentionCode1
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship DetectionCode1
mT5: A massively multilingual pre-trained text-to-text transformerCode1
Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with A Few ExamplesCode1
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem SolvingCode1
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot LearnersCode1
Does It Make Sense? And Why? A Pilot Study for Sense Making and ExplanationCode1
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense ReasoningCode1
Guiding Pretraining in Reinforcement Learning with Large Language ModelsCode1
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the WildCode1
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language ModelsCode1
PIQA: Reasoning about Physical Commonsense in Natural LanguageCode1
Large Language Models are Pretty Good Zero-Shot Video Game Bug DetectorsCode1
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive PropertiesCode1
Global-Local Tree Search in VLMs for 3D Indoor Scene GenerationCode1
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense ReasoningCode1
Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile GenerationCode1
Generative Data Augmentation for Commonsense ReasoningCode1
Reasoning Implicit Sentiment with Chain-of-Thought PromptingCode1
Fusing Context Into Knowledge Graph for Commonsense Question AnsweringCode1
Finding Effective Security Strategies through Reinforcement Learning and Self-PlayCode1
Are Large Language Models Temporally Grounded?Code1
AR-Diffusion: Auto-Regressive Diffusion Model for Text GenerationCode1
3D Visual Illusion Depth EstimationCode1
Fake News Detection on Social Media using Geometric Deep LearningCode1
Exploring the Benefits of Training Expert Language Models over Instruction TuningCode1
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language ModelsCode1
EventPlus: A Temporal Event Understanding PipelineCode1
Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring SystemsCode1
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text GamesCode1
Do Multilingual Language Models Think Better in English?Code1
Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language ModelsCode1
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
DialogSum: A Real-Life Scenario Dialogue Summarization DatasetCode1
Event2Mind for Russian: Understanding Emotions and Intents in Texts. Corpus and Model for EvaluationCode1
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoderCode1
Exploring AIGC Video Quality: A Focus on Visual Harmony, Video-Text Consistency and Domain Distribution GapCode1
Boosting Theory-of-Mind Performance in Large Language Models via PromptingCode1
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World KnowledgeCode1
CBVS: A Large-Scale Chinese Image-Text Benchmark for Real-World Short Video Search ScenariosCode1
Chain of Images for Intuitively ReasoningCode1
ConceptBert: Concept-Aware Representation for Visual Question AnsweringCode1
Conversational Word Embedding for Retrieval-Based Dialog SystemCode1
CheXWorld: Exploring Image World Modeling for Radiograph Representation LearningCode1
Comprehensive Visual Question Answering on Point Clouds through Compositional Scene ManipulationCode1
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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