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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/plan-lab/mtsbench

공식 코드

mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale

https://github.com/pln-fing-udelar/payador

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PAYADOR: A Minimalist Approach to Grounding Language Models on Structured Data for Interactive Storytelling and Role-playing Games

https://github.com/plstory/ds2d

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DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design

https://github.com/plumdeq/neuro-kglink

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Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes

https://github.com/pmonnin/gcn-matching

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Discovering alignment relations with Graph Convolutional Networks: a biomedical case study

https://github.com/pmonnin/kgpm

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Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study

https://github.com/pnnl/chemreasoner

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Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design

https://github.com/pnnl/projection_ntk

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Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models

https://github.com/poloclub/llm-self-defense

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LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked

https://github.com/poloclub/mememo

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MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation

https://github.com/popcornell/ASRLightningFT

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Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech Recognition

https://github.com/portal-cornell/robotouille

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Robotouille: An Asynchronous Planning Benchmark for LLM Agents

https://github.com/posgnu/rci-agent

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Language Models can Solve Computer Tasks

https://github.com/posterllava/posterllava

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PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM

https://github.com/potamides/automatikz

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AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ

https://github.com/pouriamrt/BHI_chatbot

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An AI-Driven Live Systematic Reviews in the Brain-Heart Interconnectome: Minimizing Research Waste and Advancing Evidence Synthesis

https://github.com/pouriarouzrokh/lattereview

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LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language Models

https://github.com/ppartha03/Semantic-Loss-Dialogue-Generation

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A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss

https://github.com/prabaey/synsum

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SynSUM -- Synthetic Benchmark with Structured and Unstructured Medical Records

https://github.com/prakash-aryan/qwen-arabic-project

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Resource-Aware Arabic LLM Creation: Model Adaptation, Integration, and Multi-Domain Testing

https://github.com/prakhargurawa/Drug-Similarity-and-Link-Prediction-using-Graph-Embeddings-on-Medical-Knowledge-Graph

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Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge Graphs

https://github.com/prateekchhikara/fire

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FIRE: Food Image to REcipe generation

https://github.com/predict-idlab/RR-GCN

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R-GCN: The R Could Stand for Random

https://github.com/predlico/aragog

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ARAGOG: Advanced RAG Output Grading

https://github.com/primeqa/clapnq

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CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems

https://github.com/princeton-nlp/helmet

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HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly

https://github.com/priyankamandikal/vedantany-10m

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Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy

https://github.com/prnshv/oran-bench-13k

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ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks

https://github.com/project-baize/baize

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Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data

https://github.com/project-baize/baize-chatbot

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Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data

https://github.com/project-miracl/nomiracl

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"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation

https://github.com/proteingpt/proteingpt

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ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding

https://github.com/psunlpgroup/fish-dip

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Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning

https://github.com/ptzhangAlg/RecAlg

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MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction

https://github.com/puppy210/DaLPSR

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DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution

https://github.com/purduedualitylab/peatmoss-artifact

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PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.