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Zhejiang University
- HangZhou
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Efficient Retrieval Augmentation and Generation Framework
The hub for EleutherAI's work on interpretability and learning dynamics
Must-read papers on graph foundation models (GFMs)
Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personalized PageRank.
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding
Efficient Multimodal Large Language Models: A Survey
[Paper][Preprint 2024] Mixture of Modality Knowledge Experts for Robust Multi-modal Knowledge Graph Completion
SimPO: Simple Preference Optimization with a Reference-Free Reward
[Paper][Preprint 2024] Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge
[Paper][Preprint 2024] MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion
[Paper][Preprint 2024] The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework
[Paper][SIGIR 2024] NativE: Multi-modal Knowledge Graph Completion in the Wild
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Precision Medicine Knowledge Graph (PrimeKG)
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
Achieving Efficient Alignment through Learned Correction
[ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
[Paper][LREC-COLING 2024] Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.