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

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Showing 751–800 of 939 papers

TitleStatusHype
ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution—0
Concept Induction using LLMs: a user experiment for assessment—0
Conflict-driven Inductive Logic Programming—0
Consolidating Commonsense Knowledge—0
Constrained Text Generation with Global Guidance -- Case Study on CommonGen—0
Constructing a Dictionary Describing Feature Changes of Arguments in Event Sentences—0
Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks—0
Content selection as semantic-based ontology exploration—0
Context-based Natural Language Processing for GIS-based Vague Region Visualization—0
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models—0
Converging Measures and an Emergent Model: A Meta-Analysis of Human-Automation Trust Questionnaires—0
Conversational AI : Open Domain Question Answering and Commonsense Reasoning—0
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules—0
Cooperating with Machines—0
CO-STAR: Conceptualisation of Stereotypes for Analysis and Reasoning—0
Creating 'Full-Stack' Hybrid Reasoning Systems that Prioritize and Enhance Human Intelligence—0
Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game—0
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment—0
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning—0
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense—0
DAST Model: Deciding About Semantic Complexity of a Text—0
DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning—0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs—0
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models—0
Multimodal Analysis Of Google Bard And GPT-Vision: Experiments In Visual Reasoning—0
Deep Distilling: automated code generation using explainable deep learning—0
Deep Haptic Model Predictive Control for Robot-Assisted Dressing—0
Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints—0
Deep Style Match for Complementary Recommendation—0
Deep Unsupervised Hashing with Latent Semantic Components—0
DEEPYANG at SemEval-2020 Task 4: Using the Hidden Layer State of BERT Model for Differentiating Common Sense—0
DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models—0
Design and Implementation of Linked Planning Domain Definition Language—0
Design Knowledge Representation with Technology Semantic Network—0
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety—0
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs—0
Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF—0
Developing a concept-level knowledge base for sentiment analysis in Singlish—0
Bootstrapping Developmental AIs: From Simple Competences to Intelligent Human-Compatible AIs—0
DialogSum Challenge: Summarizing Real-Life Scenario Dialogues—0
Diffusion as Reasoning: Enhancing Object Goal Navigation with LLM-Biased Diffusion Model—0
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery—0
Distributional semantics for ontology verification—0
DOCK: Detecting Objects by transferring Common-sense Knowledge—0
Does Knowledge Help General NLU? An Empirical Study—0
Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour—0
Do I look like a `cat.n.01` to you? A Taxonomy Image Generation Benchmark—0
Do Language Embeddings Capture Scales?—0
Do Language Models Have Common Sense?—0
Don't Just Listen, Use Your Imagination: Leveraging Visual Common Sense for Non-Visual Tasks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-MoE-32B 269B (fine-tuned)Accuracy96.1—Unverified
2Unicorn 11B (fine-tuned)Accuracy91.3—Unverified
3CompassMTL 567M with TailorAccuracy90.5—Unverified
4CompassMTL 567MAccuracy89.6—Unverified
5UnifiedQA 11B (fine-tuned)Accuracy89.4—Unverified
6Claude 3 Opus (5-shot)Accuracy88.5—Unverified
7GPT-4 (5-shot)Accuracy87.5—Unverified
8ExDeBERTa 567MAccuracy87—Unverified
9LLaMA-2 13B + MixLoRAAccuracy86.3—Unverified
10LLaMA3 8B+MoSLoRAAccuracy85.8—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4 (few-shot, k=25)Accuracy96.4—Unverified
2PaLM 2 (few-shot, CoT, SC)Accuracy95.1—Unverified
3Shivaay (4B, few-shot, k=8)Accuracy91.04—Unverified
4StupidLLMAccuracy91.03—Unverified
5Claude 2 (few-shot, k=5)Accuracy91—Unverified
6Claude 1.3 (few-shot, k=5)Accuracy90—Unverified
7PaLM 540B (Self Improvement, Self Consistency)Accuracy89.8—Unverified
8PaLM 540B (Self Consistency)Accuracy88.7—Unverified
9PaLM 540B (Self Improvement, CoT Prompting)Accuracy88.3—Unverified
10PaLM 540B (Self Improvement, Standard-Prompting)Accuracy87.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ST-MoE-32B 269B (fine-tuned)Accuracy95.2—Unverified
2LLaMA 3 8B+MoSLoRA (fine-tuned)Accuracy90.5—Unverified
3PaLM 2-L (1-shot)Accuracy89.7—Unverified
4PaLM 2-M (1-shot)Accuracy88—Unverified
5LLaMA-3 8B + MixLoRAAccuracy86.5—Unverified
6Camelidae-8×34BAccuracy86.2—Unverified
7PaLM 2-S (1-shot)Accuracy85.6—Unverified
8LLaMA 65B + CFG (0-shot)Accuracy84.2—Unverified
9GAL 120B (0-shot)Accuracy83.8—Unverified
10LLaMA-2 13B + MixLoRAAccuracy83.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Turing NLR v5 XXL 5.4B (fine-tuned)EM95.9—Unverified
2ST-MoE-32B 269B (fine-tuned)EM95.1—Unverified
3T5-11BF194.1—Unverified
4DeBERTa-1.5BEM94.1—Unverified
5PaLM 540B (finetuned)EM94—Unverified
6Vega v2 6B (fine-tuned)EM93.9—Unverified
7PaLM 2-L (one-shot)F193.8—Unverified
8T5-XXL 11B (fine-tuned)EM93.4—Unverified
9PaLM 2-M (one-shot)F192.4—Unverified
10PaLM 2-S (one-shot)F192.1—Unverified