Papers with Code 아카이브
Logical Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning
NavBench: A Unified Robotics Benchmark for Reinforcement Learning-Based Autonomous Navigation
SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas
Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?
From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
Curriculum Abductive Learning
LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
A Light and Smart Wearable Platform with Multimodal Foundation Model for Enhanced Spatial Reasoning in People with Blindness and Low Vision
Facets in Argumentation: A Formal Approach to Argument Significance
What's Inside Your Diffusion Model? A Score-Based Riemannian Metric to Explore the Data Manifold
Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification
Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation
Deploying Foundation Model-Enabled Air and Ground Robots in the Field: Challenges and Opportunities
Fusing Bidirectional Chains of Thought and Reward Mechanisms A Method for Enhancing Question-Answering Capabilities of Large Language Models for Chinese Intangible Cultural Heritage
TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series
Towards Accurate State Estimation: Kalman Filter Incorporating Motion Dynamics for 3D Multi-Object Tracking
Learning to Reason and Navigate: Parameter Efficient Action Planning with Large Language Models
Neural Brain: A Neuroscience-inspired Framework for Embodied Agents
Nonlinear Model Predictive Control for Leaderless UAV Formation Flying with Collision Avoidance under Directed Graphs
LLM-Augmented Chemical Synthesis and Design Decision Programs
System Prompt Poisoning: Persistent Attacks on Large Language Models Beyond User Injection
TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility
AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Neuro-Symbolic Concepts
Multi-agent Embodied AI: Advances and Future Directions
Learning to Drive Anywhere with Model-Based Reannotation
Trading Under Uncertainty: A Distribution-Based Strategy for Futures Markets Using FutureQuant Transformer
CityNavAgent: Aerial Vision-and-Language Navigation with Hierarchical Semantic Planning and Global Memory
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes
Learning Symbolic Persistent Macro-Actions for POMDP Solving Over Time
SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidance
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