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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/yifanxu74/libra

공식 코드

Libra: Building Decoupled Vision System on Large Language Models

https://github.com/yilinjz/astchunk

공식 코드

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree

https://github.com/yilunzhao/FinDVer

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FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents

https://github.com/yimjinkyu1/date2024_pipette

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Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters

https://github.com/yingkaid/jailfuzzer

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Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

https://github.com/yinzhangyue/eot

공식 코드

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication

https://github.com/yiqingxyq/codebenchgen

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CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks

https://github.com/yisuanwang/soulstyler

공식 코드

Soulstyler: Using Large Language Model to Guide Image Style Transfer for Target Object

https://github.com/yiveen/syntheticdatafeasibility

공식 코드

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data

https://github.com/yixiangch/mrd-rag

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MRD-RAG: Enhancing Medical Diagnosis with Multi-Round Retrieval-Augmented Generation

https://github.com/yixuantt/MultiHop-RAG

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MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

https://github.com/yjeugenia/maferw

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MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

https://github.com/yjiangcm/lion

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Lion: Adversarial Distillation of Proprietary Large Language Models

https://github.com/yjsoh/youra

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You Only Use Reactive Attention Slice For Long Context Retrieval

https://github.com/ykumards/eclip

공식 코드

Improving Medical Multi-modal Contrastive Learning with Expert Annotations

https://github.com/ym689/rec_icl

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Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning

https://github.com/ymoslem/adaptive-mt-llm-fine-tuning

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Fine-tuning Large Language Models for Adaptive Machine Translation

https://github.com/yoadtew/zero-shot-image-to-text

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ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

https://github.com/yoda-lab/dialectical-reconciliation-with-structured-argumentation

공식 코드

Dialectical Reconciliation via Structured Argumentative Dialogues

https://github.com/yoda-lab/persona

공식 코드

Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces

https://github.com/yongaifadian1/Dynamic-Parameter-Memory_DPM

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Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation

https://github.com/yongchao98/promst

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PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling

https://github.com/yosukehiguchi/espnet

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Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition

https://github.com/you68681/lpw

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Planning-Driven Programming: A Large Language Model Programming Workflow

https://github.com/youngdubbydu/llm-agent-optimization

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A Survey on the Optimization of Large Language Model-based Agents

https://github.com/youngerous/qtree

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Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation

https://github.com/youngseungjeon/ragppi

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RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery

https://github.com/ys-feng/DemoGraph

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Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs

https://github.com/ysh-1998/csrec

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Common Sense Enhanced Knowledge-based Recommendation with Large Language Model

https://github.com/ysh-1998/lrd

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Sequential Recommendation with Latent Relations based on Large Language Model

https://github.com/ytomc/autoassumpdl

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An Exploratory Study on Automatic Identification of Assumptions in the Development of Deep Learning Frameworks

https://github.com/ytongxie/pairaug

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PairAug: What Can Augmented Image-Text Pairs Do for Radiology?

https://github.com/ytyz1307zzh/minimally_edited_questions

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Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions

https://github.com/yu-rp/dimple

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Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding

https://github.com/yu-rp/visualperceptiontoken

공식 코드

Introducing Visual Perception Token into Multimodal Large Language Model

https://github.com/yuan-li-fnlp/r3-rag

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R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning

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