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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/aryan-jadon/synthetic-data-generation-and-evaluation-using-reasoning-models

공식 코드

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

https://github.com/aryopg/biokge

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Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks

https://github.com/asadifar/HCqa

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HCqa: Hybrid and Complex Question Answering on Textual Corpus and Knowledge Graph

https://github.com/asahi417/relbert

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Distilling Relation Embeddings from Pre-trained Language 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/ascherp/semantic-web-primer

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Semantic Web: Past, Present, and Future

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/asoulet/superficiality

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The Structure and Dynamics of Knowledge Graphs, with Superficiality

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/astrazeneca/awesome-drug-discovery-knowledge-graphs

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A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective

https://github.com/astrazeneca/biomedical-kg-topological-imbalance

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Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs

https://github.com/astrazeneca/kgem-in-drug-discovery

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Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery

https://github.com/astrazeneca/onto_merger

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OntoMerger: An Ontology Integration Library for Deduplicating and Connecting Knowledge Graph Nodes

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

https://github.com/awslabs/rag-qa-arena

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RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering

https://github.com/ayushraina10/sgts

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Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search

https://github.com/azminewasi/banglaautokg

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BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering

https://github.com/azminewasi/hrgraph

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HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation

https://github.com/azreasoners/llm-asp

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Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text

https://github.com/baai-dcai/m3d

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M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

https://github.com/babahui/progressive-text-to-image

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Progressive Text-to-Image Diffusion with Soft Latent Direction

https://github.com/baharefatemi/ReAlE

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Knowledge Hypergraph Embedding Meets Relational Algebra

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