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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/spfrommer/ranking_manipulation

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Ranking Manipulation for Conversational Search Engines

https://github.com/spfrommer/ranking_manipulation_data_pipeline

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Ranking Manipulation for Conversational Search Engines

https://github.com/spotify-research/tot

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When the Music Stops: Tip-of-the-Tongue Retrieval for Music

https://github.com/springcty/rag-fragility-to-linguistic-variation

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Out of Style: RAG's Fragility to Linguistic Variation

https://github.com/sprocketlab/alchemist

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The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators

https://github.com/spursgozmy/table-llava

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Multimodal Table Understanding

https://github.com/squareroot3/fusedgw-entity-alignment

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A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment

https://github.com/squareroot3/grapharena

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GraphArena: Benchmarking Large Language Models on Graph Computational Problems

https://github.com/srgrace/contextual-compression

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Contextual Compression in Retrieval-Augmented Generation for Large Language Models: A Survey

https://github.com/sshaghayeghs/llama-vs-chatgpt

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Can Large Language Models Understand Molecules?

https://github.com/sshaghayeghs/llama-vs-gpt

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Can Large Language Models Understand Molecules?

https://github.com/ssm123ssm/docgpt-pharm

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Retrieval Augmented Generation and Representative Vector Summarization for large unstructured textual data in Medical Education

https://github.com/sssshivvvv/adaptbot

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AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement

https://github.com/st143575/SemPlaus-plausibleparrots

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Plausible-Parrots @ MSP2023: Enhancing Semantic Plausibility Modeling using Entity and Event Knowledge

https://github.com/stanford-futuredata/ares

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ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

https://github.com/stanford-oval/wikichat

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WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

https://github.com/stanford-oval/wikidata-emnlp23

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Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata

https://github.com/stardust-coder/japanese-lm-med-harness

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Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resources

https://github.com/starmpcc/asclepius

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Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes

https://github.com/starsuzi/adaptive-rag

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Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

https://github.com/starsuzi/videorag

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VideoRAG: Retrieval-Augmented Generation over Video Corpus

https://github.com/start2020/awesome-timeseries-llm-fm

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A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model

https://github.com/stasl0217/KEnS

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Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer

https://github.com/stasl0217/UKGE

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Embedding Uncertain Knowledge Graphs

https://github.com/stavc/unleashingworms-extractingdata

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Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

https://github.com/stefanpie/hls-eval

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HLS-Eval: A Benchmark and Framework for Evaluating LLMs on High-Level Synthesis Design Tasks

https://github.com/stephen-smj/llamacare

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LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing

https://github.com/stephenturner/biorecap

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biorecap: an R package for summarizing bioRxiv preprints with a local LLM

https://github.com/stephlong614/causal-disco

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Causal Discovery with Language Models as Imperfect Experts

https://github.com/steve30572/dpao

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Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems

https://github.com/stevengrove/gpt4tools

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GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction

https://github.com/stevenjamesmoore/learningatscale24

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Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions

https://github.com/stevenzhb/cadge

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CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation

https://github.com/stochasticai/xturing

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INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation

https://github.com/stream-bench/stream-bench

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StreamBench: Towards Benchmarking Continuous Improvement of Language Agents

https://github.com/striderdu/spa

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Search to Pass Messages for Temporal Knowledge Graph Completion

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