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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 939 papers

TitleStatusHype
FLIP Reasoning ChallengeCode0
Shrinkage Initialization for Smooth Learning of Neural Networks—0
What the HellaSwag? On the Validity of Common-Sense Reasoning BenchmarksCode0
JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture—0
InstructionBench: An Instructional Video Understanding Benchmark—0
Proposition of Affordance-Driven Environment Recognition Framework Using Symbol Networks in Large Language Models—0
DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing MechanismCode0
WinoWhat: A Parallel Corpus of Paraphrased WinoGrande Sentences with Common Sense Categorization—0
Information Gain Is Not All You NeedCode0
GLRD: Global-Local Collaborative Reason and Debate with PSL for 3D Open-Vocabulary Detection—0
Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks—0
A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives—0
Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes—0
Don't Fight Hallucinations, Use Them: Estimating Image Realism using NLI over Atomic FactsCode0
HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model—0
Do I look like a `cat.n.01` to you? A Taxonomy Image Generation Benchmark—0
LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model CompressionCode0
The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine TranslationCode0
LLM-Advisor: An LLM Benchmark for Cost-efficient Path Planning across Multiple Terrains—0
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation—0
Personalized Causal Graph Reasoning for LLMs: A Case Study on Dietary Recommendations—0
FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response—0
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?—0
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph GenerationCode0
PredictaBoard: Benchmarking LLM Score PredictabilityCode0
Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning—0
Tell Me Why: Incentivizing Explanations—0
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning—0
Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights—0
Plant in Cupboard, Orange on Rably, Inat Aphone. Benchmarking Incremental Learning of Situation and Language Model using a Text-Simulated Situated Environment—0
ViRAC: A Vision-Reasoning Agent Head Movement Control Framework in Arbitrary Virtual Environments—0
Elucidation of the Concept of Consciousness from the Theory of Non-Human Communication Agents—0
Large Language Models as Common-Sense Heuristics—0
MACI: Multi-Agent Collaborative Intelligence for Adaptive Reasoning and Temporal Planning—0
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding—0
Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection—0
Towards A Litmus Test for Common Sense—0
A note on bequest preferences in utility maximisation for modern tontines—0
The Quest for Visual Understanding: A Journey Through the Evolution of Visual Question Answering—0
Common Sense Is All You Need—0
MSWA: Refining Local Attention with Multi-ScaleWindow Attention—0
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery—0
FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement—0
Titans: Learning to Memorize at Test TimeCode0
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities—0
Embodied Image Quality Assessment for Robotic IntelligenceCode0
VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks—0
QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMsCode0
A Multimodal Social Agent—0
The Rosetta Paradox: Domain-Specific Performance Inversions in Large Language Models—0
Show:102550
← PrevPage 5 of 19Next →
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