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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/nusioraprivacy/eaas-privacy

공식 코드

Split-and-Denoise: Protect large language model inference with local differential privacy

https://github.com/nusnlp/reacts

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Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance

https://github.com/nuster1128/llm_agent_memory_survey

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A Survey on the Memory Mechanism of Large Language Model based Agents

https://github.com/nuster1128/memengine

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MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents

https://github.com/nvlabs/coat

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COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

https://github.com/nvlabs/maskllm

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MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

https://github.com/nyu-llm-ctf/nyuctf_agents_craken

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CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution

https://github.com/nyuolab/MedDistractQA

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Medical large language models are easily distracted

https://github.com/nyushcs/moleculargpt

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MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction

https://github.com/oaklight/mango

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MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models

https://github.com/oashua/mathagent

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Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent

https://github.com/ocean-luna/hmrag

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HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation

https://github.com/oceanntwt/ra-isf

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RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback

https://github.com/octaviaguo/EchoMist

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How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation

https://github.com/oddqueue/e-dpo

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KL Penalty Control via Perturbation for Direct Preference Optimization

https://github.com/ofa-sys/expertllama

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ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

https://github.com/oliver-lloyd/kge_param_sens

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Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality

https://github.com/om-ai-lab/OmAgent

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OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer

https://github.com/om-ai-lab/ZoomEye

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ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration

https://github.com/om-ai-lab/imagerag

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ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG

https://github.com/omron-sinicx/whereistheanswer

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Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction

https://github.com/oneal2000/dragin

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DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models

https://github.com/oneal2000/judge

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JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System

https://github.com/oneal2000/prag

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Parametric Retrieval Augmented Generation

https://github.com/open-compass/CriticBench

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CriticEval: Evaluating Large Language Model as Critic

https://github.com/open-compass/criticeval

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CriticEval: Evaluating Large Language Model as Critic

https://github.com/open-social-world/egonormia

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EgoNormia: Benchmarking Physical Social Norm Understanding

https://github.com/openai/human-eval

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Safurai 001: New Qualitative Approach for Code LLM Evaluation

https://github.com/openai/whisper

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Adapting Large Language Model with Speech for Fully Formatted End-to-End Speech Recognition

https://github.com/openaudiolab/llast

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LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models

https://github.com/openbgbenchmark/openbg

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Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph

https://github.com/openbiolink/thoughtsource

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ThoughtSource: A central hub for large language model reasoning data

https://github.com/openbmb/chatdev

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Scaling Large Language Model-based Multi-Agent Collaboration

https://github.com/openbmb/minicpm

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MiniCPM4: Ultra-Efficient LLMs on End Devices

https://github.com/openbmb/rageval

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RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

https://github.com/openbmb/repoagent

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RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation

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