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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Streaming 4D Visual Geometry Transformer
AI-Reporter: A Path to a New Genre of Scientific Communication
What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity
Causes in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy?
Low-code to fight climate change: the Climaborough project
Simple is what you need for efficient and accurate medical image segmentation
Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
A Conjecture on a Fundamental Trade-Off between Certainty and Scope in Symbolic and Generative AI
WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis
Three Kinds of Negation in Knowledge and Their Mathematical Foundations
Sorrel: A simple and flexible framework for multi-agent reinforcement learning
DeepDialogue: A Multi-Turn Emotionally-Rich Spoken Dialogue Dataset
Computing phylogenetic invariants for time-reversible models: from TN93 to its submodels
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics
On Denoising Walking Videos for Gait Recognition
Stereotype Detection in Natural Language Processing
The end of radical concept nativism
Joint Flow And Feature Refinement Using Attention For Video Restoration
DeepCEE: Efficient Cross-Region Model Distributed Training System under Heterogeneous GPUs and Networks
What Lives? A meta-analysis of diverse opinions on the definition of life
Qualia Optimization
The heteronomy of algorithms: Traditional knowledge and computational knowledge
Healthy Distrust in AI systems
LLM-based Text Simplification and its Effect on User Comprehension and Cognitive Load
CoCoAFusE: Beyond Mixtures of Experts via Model Fusion
Evaluating Explanations: An Explanatory Virtues Framework for Mechanistic Interpretability -- The Strange Science Part I.ii
A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i
Theoretical Foundations for Semantic Cognition in Artificial Intelligence
Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning
Exploring Inevitable Waypoints for Unsolvability Explanation in Hybrid Planning Problems
A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures
Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems
Going Whole Hog: A Philosophical Defense of AI Cognition
Large Language Models as Quasi-crystals: Coherence Without Repetition in Generative Text
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