https://github.com/linchen-65/restruct
공식 코드Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network
Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis
Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
Efficient Inference for Large Language Model-based Generative Recommendation
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
M$^{2}$Chat: Empowering VLM for Multimodal LLM Interleaved Text-Image Generation
GenoTEX: An LLM Agent Benchmark for Automated Gene Expression Data Analysis
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Large Language Model Distilling Medication Recommendation Model
XY-Cut++: Advanced Layout Ordering via Hierarchical Mask Mechanism on a Novel Benchmark
Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP
An Open Source Data Contamination Report for Large Language Models
Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance
Contrastive Vision-Language Alignment Makes Efficient Instruction Learner
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins
Mixture of Tokens: Continuous MoE through Cross-Example Aggregation
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA
Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving
Playpen: An Environment for Exploring Learning Through Conversational Interaction
HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.