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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/XinyuZhou2000/Spoken_Dialogue

공식 코드

Towards Joint Modeling of Dialogue Response and Speech Synthesis based on Large Language Model

https://github.com/YZ-Cai/SimGRAG

공식 코드

SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation

https://github.com/YannisZa/GeNSIT

공식 코드

Generating Origin-Destination Matrices in Neural Spatial Interaction Models

https://github.com/YaoJiayi/CacheBlend

공식 코드

CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion

https://github.com/YaserJaradeh/LinkingODPublishers

공식 코드

Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs

https://github.com/YeLuoSuiYou/openstorypp

공식 코드

Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling

https://github.com/YilunZhou/path-naturalness-prediction

공식 코드

Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness

https://github.com/Ymm-cll/Typoglycemia

공식 코드

Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia

https://github.com/YuanGongND/ltu

공식 코드

Listen, Think, and Understand

https://github.com/YueLiu/NeuralTripleTranslation

공식 코드

Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text

https://github.com/YuexingHao/In-Basket-Message-Evaluation

공식 코드

Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams

https://github.com/Yunbo-max/EQ-Negotiator

공식 코드

EQ-Negotiator: An Emotion-Reasoning LLM Agent in Credit Dialogues

https://github.com/Yunbo-max/LLM-TabFlow

공식 코드

LLM-TabFlow: Synthetic Tabular Data Generation with Inter-column Logical Relationship Preservation

https://github.com/YunqiuXu/SHA-KG

공식 코드

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games

https://github.com/Yusics/bist-parser

공식 코드

Scene Graph Parsing as Dependency Parsing

https://github.com/YuxingLu613/KARMA

공식 코드

KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment

https://github.com/ZGChung/Mix-of-Granularity

공식 코드

Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

https://github.com/ZetangForward/L-CITEEVAL

공식 코드

L-CiteEval: Do Long-Context Models Truly Leverage Context for Responding?

https://github.com/ZeyuLing/MotionLLaMA

공식 코드

MotionLLaMA: A Unified Framework for Motion Synthesis and Comprehension

https://github.com/Zhihan72/TCELongBench

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Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding

https://github.com/Zi-YuanYang/SCAN-PhysFed

공식 코드

Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model

https://github.com/ZidongLiu/DeComFL

공식 코드

Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization

https://github.com/ZihaoWang/Few-shot-KGC

공식 코드

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion

https://github.com/ZihengZZH/industry-eval-EA

공식 코드

An Industry Evaluation of Embedding-based Entity Alignment

https://github.com/ZongqianLi/500xCompressor

공식 코드

500xCompressor: Generalized Prompt Compression for Large Language Models

https://github.com/Ztrimus/job-llm

공식 코드

ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement

https://github.com/Zyphra/TemporalMemoryDataset

공식 코드

Toward Conversational Agents with Context and Time Sensitive Long-term Memory

https://github.com/a-brassard/copa-sse

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COPA-SSE: Semi-structured Explanations for Commonsense Reasoning

https://github.com/a-kerim/synthetic-data-usability-2024

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Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data

https://github.com/aabarr/Synthetic-Neurosurgical-Data

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Zero-shot generation of synthetic neurosurgical data with large language models

https://github.com/aabarr/synthetic-datasets

공식 코드

Generative adversarial networks vs large language models: a comparative study on synthetic tabular data generation

https://github.com/aadityasingh/tokenizationcounts

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Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs

https://github.com/aair-lab/capability-discovery

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Discovering User-Interpretable Capabilities of Black-Box Planning Agents

https://github.com/aaronli43/grappi

공식 코드

GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration

https://github.com/aashiqmuhamed/grass

공식 코드

Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients

https://github.com/aatlantise/punc-rest-improves

공식 코드

Punctuation Restoration Improves Structure Understanding Without Supervision

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