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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/hetailang/squeezeattention

공식 코드

SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget

https://github.com/hexuandeng/drpruning

공식 코드

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization

https://github.com/heydaari/CAG

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Context Awareness Gate For Retrieval Augmented Generation

https://github.com/heydarsoudani/ragvsft

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Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge

https://github.com/hhhuang/cag

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Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks

https://github.com/hhw-zhou/tsmmg

공식 코드

Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model

https://github.com/hhy-huang/HiRAG

공식 코드

Retrieval-Augmented Generation with Hierarchical Knowledge

https://github.com/hi-weiyuan/PTF-FSR

공식 코드

PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System

https://github.com/hiagent2024/hiagent

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HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model

https://github.com/hieuphan33/mavl

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Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework

https://github.com/hieuthi/llamapartialspoof

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LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation

https://github.com/hijkzzz/pymarl2

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Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration

https://github.com/histmeisah/large-language-models-play-starcraftii

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Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

https://github.com/historicalink/LatamXIX

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Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction

https://github.com/hitachi-nlp/larch

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LARCH: Large Language Model-based Automatic Readme Creation with Heuristics

https://github.com/hitz-zentroa/cn-eval

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A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation

https://github.com/hitz-zentroa/gollie

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GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction

https://github.com/hitz-zentroa/whisper-lm

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Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages

https://github.com/hiyouga/llama-factory

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Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs

https://github.com/hkuds/autoagent

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AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents

https://github.com/hkuds/lightrag

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LightRAG: Simple and Fast Retrieval-Augmented Generation

https://github.com/hkuds/minirag

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MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation

https://github.com/hkuds/opengraph

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OpenGraph: Towards Open Graph Foundation Models

https://github.com/hkuds/videorag

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VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos

https://github.com/hkunlp/batch-prompting

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Batch Prompting: Efficient Inference with Large Language Model APIs

https://github.com/hkust-knowcomp/eventground

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EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs

https://github.com/hkust-knowcomp/privatengdb

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Privacy-Preserved Neural Graph Databases

https://github.com/hkust-knowcomp/vd-pcr

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VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution

https://github.com/hkust-nlp/pem_composition

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Composing Parameter-Efficient Modules with Arithmetic Operations

https://github.com/hkust-zhiyao/rtllm

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RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model

https://github.com/hliulab/tcrlm

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tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificity

https://github.com/hmchuong/CoLLM

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CoLLM: A Large Language Model for Composed Image Retrieval

https://github.com/hmuus01/educational_qg

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Scalable Educational Question Generation with Pre-trained Language Models

https://github.com/hmxiong/3ur-llm

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3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding

https://github.com/holarissun/Data-Centric-OPE

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When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective

https://github.com/holarissun/rewardmodelingbeyondbradleyterry

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Rethinking Bradley-Terry Models in Preference-Based Reward Modeling: Foundations, Theory, and Alternatives

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