Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/declare-lab/PromptDistill
공식 코드https://github.com/declare-lab/flacuna
공식 코드Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning
https://github.com/declare-lab/trust-align
공식 코드https://github.com/deep-polyu/awesome-graphrag
공식 코드A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
https://github.com/deep-spin/lmt_hallucinations
공식 코드https://github.com/deep-spin/tower-eval
공식 코드Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
https://github.com/deep-symbolic-mathematics/llm-sr
공식 코드LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
https://github.com/deeplearnxmu/faithful-rag
공식 코드FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
https://github.com/deeplearnxmu/kpg-setllm
공식 코드One2set + Large Language Model: Best Partners for Keyphrase Generation
https://github.com/deepseek-ai/DeepSeek-Coder
공식 코드DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
https://github.com/deepseek-ai/deepseek-moe
공식 코드DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
https://github.com/deepseek-ai/deepseek-prover-v2
공식 코드https://github.com/deepseek-ai/janus
공식 코드https://github.com/deepsoftwareanalytics/llmcodinghallucination
공식 코드LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
https://github.com/deepspeedai/deepspeed
공식 코드Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences
https://github.com/delftcrowd/iui2025_convxai
공식 코드Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant
https://github.com/dengyang17/ppdpp
공식 코드Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
https://github.com/deperiaskerre/qkg
공식 코드https://github.com/deu30303/AdStyle
공식 코드Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
https://github.com/devika-prog/caregiver-conversational-support-tool
공식 코드https://github.com/dfki-nlp/llmcheckup
공식 코드https://github.com/dhatchi711/espnet-emotional-news
공식 코드EmoNews: A Spoken Dialogue System for Expressive News Conversations
https://github.com/dialogue-evaluation/RuOpinionNE-2024
공식 코드RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News Texts
https://github.com/dice-group/lola
공식 코드LOLA -- An Open-Source Massively Multilingual Large Language Model
https://github.com/dids-ei/llm-hbtp
공식 코드HBTP: Heuristic Behavior Tree Planning with Large Language Model Reasoning
https://github.com/diegogosmar/hall_evaluator
공식 코드Hallucination Mitigation using Agentic AI Natural Language-Based Frameworks
https://github.com/digitalharborfoundation/rag-for-math-qa
공식 코드https://github.com/dilab-zju/self-speculative-decoding
공식 코드Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
https://github.com/dinobby/magdi
공식 코드https://github.com/dipuk0506/multimodal
공식 코드Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning
https://github.com/disi-unibo-nlp/rag-when-how-chunk
공식 코드Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
https://github.com/disl-lab/finesumfact
공식 코드Learning to Verify Summary Facts with Fine-Grained LLM Feedback
https://github.com/dkalpakchi/swectrl-mini
공식 코드https://github.com/dlr-sc/style-vectors-for-steering-llms
공식 코드https://github.com/dlyuangod/tinygpt-v
공식 코드TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.