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 110 of 939 papers

TitleStatusHype
Comparing Apples to Oranges: A Dataset & Analysis of LLM Humour Understanding from Traditional Puns to Topical Jokes0
LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and OptimizationCode0
CheckManual: A New Challenge and Benchmark for Manual-based Appliance Manipulation0
EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits0
Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree searchCode0
AmbiK: Dataset of Ambiguous Tasks in Kitchen EnvironmentCode0
ATLAS: Learning to Optimally Memorize the Context at Test Time0
Spatial Knowledge Graph-Guided Multimodal Synthesis0
CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models0
Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Human BenchmarkAccuracy0.84Unverified
2SBERT_Large_mt_ru_finetuningAccuracy0.68Unverified
3RuBERT conversationalAccuracy0.67Unverified
4RuBERT plainAccuracy0.67Unverified
5Multilingual BertAccuracy0.67Unverified
6RuGPT3MediumAccuracy0.67Unverified
7RuGPT3SmallAccuracy0.67Unverified
8MT5 LargeAccuracy0.67Unverified
9heuristic majorityAccuracy0.67Unverified
10majority_classAccuracy0.67Unverified