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 251–300 of 939 papers

TitleStatusHype
Rethinking Annotation for Object Detection: Is Annotating Small-size Instances Worth Its Cost?—0
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions—0
A surprisal oracle for when every layer countsCode0
Let's Think Var-by-Var: Large Language Models Enable Ad Hoc Probabilistic Reasoning—0
MALT: Improving Reasoning with Multi-Agent LLM Training—0
Online Knowledge Integration for 3D Semantic Mapping: A Survey—0
HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator—0
Generating Out-Of-Distribution Scenarios Using Language Models—0
Interactive and Expressive Code-Augmented Planning with Large Language Models—0
GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented Grasping—0
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation—0
Knowledge Bases in Support of Large Language Models for Processing Web News—0
CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision—0
A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environmentCode0
Diffusion as Reasoning: Enhancing Object Goal Navigation with LLM-Biased Diffusion Model—0
IPPON: Common Sense Guided Informative Path Planning for Object Goal Navigation—0
From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical Problems—0
Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving—0
VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model—0
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare—0
FusionSense: Bridging Common Sense, Vision, and Touch for Robust Sparse-View Reconstruction—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
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
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
KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models—0
CauseJudger: Identifying the Cause with LLMs for Abductive Logical Reasoning—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
Implicit Sentiment Analysis Based on Chain of Thought Prompting—0
LLM-enhanced Scene Graph Learning for Household Rearrangement—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
A Reliable Common-Sense Reasoning Socialbot Built Using LLMs and Goal-Directed ASP—0
Multi-turn Response Selection with Commonsense-enhanced Language Models—0
Using GPT-4 to guide causal machine learning—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
NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models—0
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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