Papers with Code 아카이브
Knowledge Graphs
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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/idea-finai/ragllava
공식 코드https://github.com/idea-finai/ragvl
공식 코드https://github.com/idea-finai/tog
공식 코드Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
https://github.com/idea-finai/tog-2
공식 코드https://github.com/idea-research/rexseek
공식 코드https://github.com/idekerlab/llm_evaluation_for_gene_set_interpretation
공식 코드Evaluation of large language models for discovery of gene set function
https://github.com/idiap/class-imbalance-multilingual-ft
공식 코드Understanding the effects of language-specific class imbalance in multilingual fine-tuning
https://github.com/idirlab/kgcompletion
공식 코드Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study
https://github.com/idllresearch/malicious-gpt
공식 코드Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
https://github.com/idt-iti/vidctx
공식 코드VidCtx: Context-aware Video Question Answering with Image Models
https://github.com/ieit-yuan/yuan-2.0
공식 코드YUAN 2.0: A Large Language Model with Localized Filtering-based Attention
https://github.com/ielab/larmor
공식 코드https://github.com/iesl/narrative-driven-rec-mint
공식 코드Large Language Model Augmented Narrative Driven Recommendations
https://github.com/ighina/llmclimate2024
공식 코드Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models
https://github.com/ignorejjj/longrefiner
공식 코드Hierarchical Document Refinement for Long-context Retrieval-augmented Generation
https://github.com/iieir-km/ComplEx-NNE_AER
공식 코드Improving Knowledge Graph Embedding Using Simple Constraints
https://github.com/iieir-km/RUGE
공식 코드Knowledge Graph Embedding with Iterative Guidance from Soft Rules
https://github.com/iiot-tbb/dialogue_dde
공식 코드PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
https://github.com/iiscleap/care
공식 코드Leveraging Content and Acoustic Representations for Speech Emotion Recognition
https://github.com/ilampard/lamp
공식 코드Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
https://github.com/illuin-tech/grouse
공식 코드GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question Answering
https://github.com/ilyatyagin/dyport
공식 코드Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique
https://github.com/imamnurby/transducer-tuning
공식 코드Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs
https://github.com/imeanai/webcanvas
공식 코드https://github.com/imenjaoua/hybrid-code-review
공식 코드Combining Large Language Models with Static Analyzers for Code Review Generation
https://github.com/imethanlee/knowphish
공식 코드https://github.com/immortals88/demo-sea
공식 코드https://github.com/imnearth/coat
공식 코드https://github.com/imran2205/logicrag
공식 코드https://github.com/ina-foss/is24_news_topic
공식 코드https://github.com/index-tts/index-tts
공식 코드IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
https://github.com/infini-ai-lab/ape
공식 코드APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
https://github.com/informagi/embert
공식 코드https://github.com/informalsystems/fuzzmo_use_case2
공식 코드Accessible Smart Contracts Verification: Synthesizing Formal Models with Tamed LLMs
https://github.com/ink-usc/predicting-big-bench
공식 코드How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.