https://bitbucket.org/sdumancic/embeddingsmeetilp
공식 코드A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning
A Quick, trustworthy spectral knowledge Q&A system leveraging retrieval-augmented generation on LLM
Benchmarking Large Language Model Uncertainty for Prompt Optimization
SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems
SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs
NALA: an Effective and Interpretable Entity Alignment Method
MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing
IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities
BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings
Multi-task Pre-training Language Model for Semantic Network Completion
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
Model Utility Law: Evaluating LLMs beyond Performance through Mechanism Interpretable Metric
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning
Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs
Simulation and Augmentation of Social Networks for Building Deep Learning Models
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
Tree-based variational inference for Poisson log-normal models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.