https://github.com/stevenzhb/cadge
공식 코드CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation
StreamBench: Towards Benchmarking Continuous Improvement of Language Agents
Search to Pass Messages for Temporal Knowledge Graph Completion
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model Agents
Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning
Extracting Definienda in Mathematical Scholarly Articles with Transformers
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
From Feature Importance to Natural Language Explanations Using LLMs with RAG
CyberGym: Evaluating AI Agents' Cybersecurity Capabilities with Real-World Vulnerabilities at Scale
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective
IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment
LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment
Message Passing for Complex Question Answering over Knowledge Graphs
M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis
WildDESED: An LLM-Powered Dataset for Wild Domestic Environment Sound Event Detection System
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description
Emergence of Social Norms in Generative Agent Societies: Principles and Architecture
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models
Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs
Large language model for Bible sentiment analysis: Sermon on the Mount
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.