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Large Language Model

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

https://github.com/MIRALab-USTC/KGE-HAKE

공식 코드

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

https://github.com/MJinXiang/Reasoning-Table

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Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning

https://github.com/MLE-Dojo/MLE-Dojo

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MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering

https://github.com/MMMU-Benchmark/MMMU

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MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

https://github.com/MYC000801/SE-POPO

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Avoiding $\mathbf{exp(R_{max})}$ scaling in RLHF through Preference-based Exploration

https://github.com/MYVAE/Instruction-detection

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Defending against Indirect Prompt Injection by Instruction Detection

https://github.com/MaastrichtU-IDS/LMKBC-2023

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Expanding the Vocabulary of BERT for Knowledge Base Construction

https://github.com/MadryLab/platinum-benchmarks

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Do Large Language Model Benchmarks Test Reliability?

https://github.com/MaestroGraph/motive-rdf

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Finding Motifs in Knowledge Graphs using Compression

https://github.com/Mandar-Sharma/TCube

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TCube: Domain-Agnostic Neural Time-series Narration

https://github.com/MaoXinn/Dual-AMN

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Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining

https://github.com/MaoXinn/RREA

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Relational Reflection Entity Alignment

https://github.com/MarcoMeter/neroRL

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Playing Pokémon Red via Deep Reinforcement Learning

https://github.com/MartinBoeckling/KGRag

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Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks

https://github.com/MarwahAlaofi/SIGIR-23-SRP-UQV100-GPT-Query-Variants

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Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study

https://github.com/MatNLP/KEHRL

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KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning

https://github.com/Maxpa1n/gcplm-kgc

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Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints

https://github.com/Maysir/GEM-GCN

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Knowledge Embedding Based Graph Convolutional Network

https://github.com/MedHK23/MedViLaM

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MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation

https://github.com/Mehran-k/SimplE

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SimplE Embedding for Link Prediction in Knowledge Graphs

https://github.com/MichaelAzmy/ambiguous-dbwd

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Matching Entities Across Different Knowledge Graphs with Graph Embeddings

https://github.com/MikeGu721/DetectBench

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DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?

https://github.com/MikulasZelinka/textworld_kg_dataset

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Building Dynamic Knowledge Graphs from Text-based Games

https://github.com/MiliLab/GeoLLaVA-8K

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GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution

https://github.com/Miracle1207/Mean-Field-LLM

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MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

https://github.com/MiuLab/RAG-Self-Preference

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LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation

https://github.com/MooreThreads/TurboRAG

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TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text

https://github.com/MrRezaeiUofT/AT-RAG

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AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning

https://github.com/MrZihan/NavRAG

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NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

https://github.com/MultimodalGeo/GeoText-1652

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Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching

https://github.com/MurrayTom/SG-Bench

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SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types

https://github.com/N00bsie/QueryReformulation

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Feature-based reformulation of entities in triple pattern queries

https://github.com/NAACL2018Anonymous/submission

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Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types

https://github.com/NExT-GPT/NExT-GPT

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NExT-GPT: Any-to-Any Multimodal LLM

https://github.com/NIVA-Knowledge-Graph/TERA

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Understanding Adverse Biological Effect Predictions Using Knowledge Graphs

https://github.com/NJU-LHRS/LHRS-Bot

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LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation

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