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Knowledge Graphs

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하위 태스크: 5
평가표: 4
보존된 평가 기록: 19

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/thu-coai/KdConv

공식 코드

KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation

https://github.com/thu-coai/critiquellm

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CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation

https://github.com/thu-huangzc/FFAA

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FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant

https://github.com/thu-keg/knowledge-to-jailbreak

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Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models

https://github.com/thu-keg/r-eval

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R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models

https://github.com/thu-keg/rearag

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ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation

https://github.com/thu-keg/seakr

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SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

https://github.com/thu-nics/moa

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MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression

https://github.com/thu-rllab/lare

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Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning

https://github.com/thuccslab/mergeguard

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Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model Merging

https://github.com/thudm/autowebglm

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AutoWebGLM: A Large Language Model-based Web Navigating Agent

https://github.com/thudm/datascibench

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DataSciBench: An LLM Agent Benchmark for Data Science

https://github.com/thudm/self-contrast

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Extensive Self-Contrast Enables Feedback-Free Language Model Alignment

https://github.com/thudm/webglm

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WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences

https://github.com/thunderous77/glape

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GLaPE: Gold Label-agnostic Prompt Evaluation and Optimization for Large Language Model

https://github.com/thunlp/CKRL

공식 코드

Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence

https://github.com/thunlp/ChartCoder

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ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation

https://github.com/thunlp/CokeBERT

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CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models

https://github.com/thunlp/ConceptFlow

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Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs

https://github.com/thunlp/ERNIE

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ERNIE: Enhanced Language Representation with Informative Entities

https://github.com/thunlp/EntityDuetNeuralRanking

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Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval

https://github.com/thunlp/IKRL

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Image-embodied Knowledge Representation Learning

https://github.com/thunlp/Neural-Snowball

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Neural Snowball for Few-Shot Relation Learning

https://github.com/thunlp/OpenKE

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Knowledge Representation Learning: A Quantitative Review

https://github.com/thunlp/adaptive-note

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Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation

https://github.com/thunlp/apb

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APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs

https://github.com/thunlp/clueanchor

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ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation

https://github.com/thunlp/kacc

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KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion

https://github.com/thunlp/kbalign

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KBAlign: Efficient Self Adaptation on Specific Knowledge Bases

https://github.com/thunlp/tritonbench

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TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

https://github.com/thusharamanjari/rag_llm_causalitymining

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Retrieval Augmented Generation based Large Language Models for Causality Mining

https://github.com/tianhaoshi2001/lsat

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Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems

https://github.com/tiannuo-yang/searchagent-x

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Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents

https://github.com/tianyao-aka/rapl

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Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering

https://github.com/tifat58/enhanced-interpretable-report-generation-demo

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CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models

https://github.com/tifat58/irr-with-cbm-rag

공식 코드

Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG

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