https://github.com/agiresearch/battleagent
공식 코드BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis
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BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers
Orthogonal Ensemble Networks for Biomedical Image Segmentation
Big Earth Data and Machine Learning for Sustainable and Resilient Agriculture
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Large Language Models in the Clinic: A Comprehensive Benchmark
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data
ACWA: An AI-driven Cyber-Physical Testbed for Intelligent Water Systems
ExClaim: Explainable Neural Claim Verification Using Rationalization
Tree-Based Leakage Inspection and Control in Concept Bottleneck Models
CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
DeLF: Designing Learning Environments with Foundation Models
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain
Semantic Prototypes: Enhancing Transparency Without Black Boxes
The impact of responding to patient messages with large language model assistance
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents
Use of Air Quality Sensor Network Data for Real-time Pollution-Aware POI Suggestion
Semantic Prediction: Which One Should Come First, Recognition or Prediction?
Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.