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Logical Reasoning
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
WebLists: Extracting Structured Information From Complex Interactive Websites Using Executable LLM Agents
LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection
Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural Integration
Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacks
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild
Generative Deep Learning Framework for Inverse Design of Fuels
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
PuzzleBench: A Fully Dynamic Evaluation Framework for Large Multimodal Models on Puzzle Solving
MediSee: Reasoning-based Pixel-level Perception in Medical Images
Understanding and Optimizing Multi-Stage AI Inference Pipelines
ST-Booster: An Iterative SpatioTemporal Perception Booster for Vision-and-Language Navigation in Continuous Environments
VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge
SPreV
HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
Embodied Chain of Action Reasoning with Multi-Modal Foundation Model for Humanoid Loco-manipulation
FMLGS: Fast Multilevel Language Embedded Gaussians for Part-level Interactive Agents
Lemons and Learning: Adult and Juvenile Free-Ranging Dogs Navigate Aversive Foraging Challenges Differently
MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep Thinking
Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong Generalization
Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-based Test Oracles
Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey
Provable Failure of Language Models in Learning Majority Boolean Logic via Gradient Descent
Of All StrIPEs: Investigating Structure-informed Positional Encoding for Efficient Music Generation
Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification
AutoPDL: Automatic Prompt Optimization for LLM Agents
Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
Hybrid Real- and Complex-valued Neural Network Architecture
SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement
Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition
When is using AI the rational choice? The importance of counterfactuals in AI deployment decisions
Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
Adaptive Rectification Sampling for Test-Time Compute Scaling
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