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 101–150 of 939 papers

TitleStatusHype
VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model—0
FusionSense: Bridging Common Sense, Vision, and Touch for Robust Sparse-View Reconstruction—0
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare—0
Learning Low-Level Causal Relations using a Simulated Robotic ArmCode0
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs—0
ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution—0
PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models QuantizationCode2
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion—0
Visual-O1: Understanding Ambiguous Instructions via Multi-modal Multi-turn Chain-of-thoughts Reasoning—0
LLM-Augmented Symbolic Reinforcement Learning with Landmark-Based Task Decomposition—0
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense ReasoningCode1
Revisiting Essential and Nonessential Settings of Evidential Deep LearningCode1
Can Models Learn Skill Composition from Examples?—0
Rehearsing Answers to Probable Questions with Perspective-Taking—0
Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models—0
CauseJudger: Identifying the Cause with LLMs for Abductive Logical Reasoning—0
KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models—0
Structured Event Reasoning with Large Language Models—0
Path-Consistency: Prefix Enhancement for Efficient Inference in LLM—0
Knowledge-Aware Conversation Derailment Forecasting Using Graph Convolutional Networks—0
LLM-enhanced Scene Graph Learning for Household Rearrangement—0
Implicit Sentiment Analysis Based on Chain of Thought Prompting—0
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs—0
A Perspective on Large Language Models, Intelligent Machines, and Knowledge Acquisition—0
Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection—0
Are Social Sentiments Inherent in LLMs? An Empirical Study on Extraction of Inter-demographic Sentiments—0
From Recognition to Prediction: Leveraging Sequence Reasoning for Action AnticipationCode0
Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective—0
Using Large Language Models for the Interpretation of Building Regulations—0
Multi-turn Response Selection with Commonsense-enhanced Language Models—0
Using GPT-4 to guide causal machine learning—0
A Reliable Common-Sense Reasoning Socialbot Built Using LLMs and Goal-Directed ASP—0
Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation—0
Reconstruct the Pruned Model without Any Retraining—0
Addressing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval—0
NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models—0
AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies—0
Model Surgery: Modulating LLM's Behavior Via Simple Parameter EditingCode1
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs—0
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language ModelsCode0
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models—0
Automatic Adaptation Rule Optimization via Large Language Models—0
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living—0
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving—0
RegMix: Data Mixture as Regression for Language Model Pre-trainingCode2
Human-Object Interaction from Human-Level Instructions—0
Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language ModelsCode1
MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception—0
Human-AI collectives produce the most accurate differential diagnosesCode0
Improving Visual Commonsense in Language Models via Multiple Image GenerationCode1
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All datasetsWinoGrandearc_challengearc_easyReCoRDCommonsenseQAPARusRuCoSRWSDBIG-bench (Causal Judgment)BIG-bench (Date Understanding)BIG-bench (Disambiguation QA)BIG-bench (Sports Understanding)

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