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Common Sense Reasoning
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization
Slimming Down LLMs Without Losing Their Minds
CheckManual: A New Challenge and Benchmark for Manual-based Appliance Manipulation
EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits
Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search
AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment
Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM Evaluation
ATLAS: Learning to Optimally Memorize the Context at Test Time
Spatial Knowledge Graph-Guided Multimodal Synthesis
CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models
Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation
SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving
Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst
OSoRA: Output-Dimension and Singular-Value Initialized Low-Rank Adaptation
3D Visual Illusion Depth Estimation
Empirically evaluating commonsense intelligence in large language models with large-scale human judgments
ProdRev: A DNN framework for empowering customers using generative pre-trained transformers
AC-Reason: Towards Theory-Guided Actual Causality Reasoning with Large Language Models
Through the Looking Glass: Common Sense Consistency Evaluation of Weird Images
Elastic Weight Consolidation for Full-Parameter Continual Pre-Training of Gemma2
AgentSGEN: Multi-Agent LLM in the Loop for Semantic Collaboration and GENeration of Synthetic Data
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding
UAV-VLN: End-to-End Vision Language guided Navigation for UAVs
ScanEdit: Hierarchically-Guided Functional 3D Scan Editing
Creating 'Full-Stack' Hybrid Reasoning Systems that Prioritize and Enhance Human Intelligence
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
FLIP Reasoning Challenge
DataDecide: How to Predict Best Pretraining Data with Small Experiments
Domain-Adaptive Continued Pre-Training of Small Language Models
Shrinkage Initialization for Smooth Learning of Neural Networks
What the HellaSwag? On the Validity of Common-Sense Reasoning Benchmarks
JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture
InstructionBench: An Instructional Video Understanding Benchmark
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment
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