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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/apple/ml-superposition-prompting

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Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

https://github.com/appletea233/llava-st

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LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding

https://github.com/applied-ai-research-lab/orchestrator-agent-trust

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Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning

https://github.com/applied-machine-learning-lab/g3

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G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models

https://github.com/applied-machine-learning-lab/llmemb

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LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation

https://github.com/applied-machine-learning-lab/mill

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MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

https://github.com/araag2/SemEval2024-Task2

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Lisbon Computational Linguists at SemEval-2024 Task 2: Using A Mistral 7B Model and Data Augmentation

https://github.com/archersama/uni-ctr

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A Unified Framework for Multi-Domain CTR Prediction via Large Language Models

https://github.com/archiki/utgendebug

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Learning to Generate Unit Tests for Automated Debugging

https://github.com/arghadippurdue/GraNNite

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GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units

https://github.com/arminarj/empathic-grounding

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Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents

https://github.com/artessay/sama

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TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems

https://github.com/arthur422tp/hierachical

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Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese Regulations

https://github.com/arthurleom/dress-llm

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DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing

https://github.com/artificial-scientist-lab/scimuse

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Interesting Scientific Idea Generation using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders

https://github.com/arturzolkowski/steganographic-evals

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Early Signs of Steganographic Capabilities in Frontier LLMs

https://github.com/arvid-pku/atoke

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History Matters: Temporal Knowledge Editing in Large Language Model

https://github.com/aryan-jadon/synthetic-data-generation-and-evaluation-using-reasoning-models

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Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models

https://github.com/asappresearch/halugen

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Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses

https://github.com/asappresearch/josh-llm-simulation-training

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Sparse Rewards Can Self-Train Dialogue Agents

https://github.com/asgaardlab/LLMxBugs

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Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors

https://github.com/ash-ai-safety-hub/g3-nandi

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Comparing Optimization Targets for Contrast-Consistent Search

https://github.com/ashfarhangi/Protoformer

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Protoformer: Embedding Prototypes for Transformers

https://github.com/asinghcsu/agenticrag-survey

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Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

https://github.com/assassinws/llm-tamp

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LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning

https://github.com/astral-group/bdc_mitigation_assessment

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The Emperor's New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination

https://github.com/asu-kim/personal-llm-kg

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Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph

https://github.com/atenanaz/poison-rag

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Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems

https://github.com/augustinLib/SPIKE

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Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval

https://github.com/autextification/AuTexTification-Overview

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Overview of AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple Domains

https://github.com/auto-icd-coding/ruccod

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RuCCoD: Towards Automated ICD Coding in Russian

https://github.com/avdpro/ai2apps

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AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications

https://github.com/avinashsai/ViRED

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Learning to Retrieve Videos by Asking Questions

https://github.com/awslabs/graphrag-toolkit

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Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval

https://github.com/awslabs/hlat

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HLAT: High-quality Large Language Model Pre-trained on AWS Trainium

https://github.com/awslabs/optimizing-multitask-training-through-dynamic-pipelines

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DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines

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