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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/conveyor-sys/conveyor

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Conveyor: Efficient Tool-aware LLM Serving with Tool Partial Execution

https://github.com/cooperative-ia/cooperativegpt

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Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting Pot

https://github.com/copenlu/context-utilisation-for-rag

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A Reality Check on Context Utilisation for Retrieval-Augmented Generation

https://github.com/cornell-zhang/allo

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Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference

https://github.com/craftjarvis/minestudio

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MineStudio: A Streamlined Package for Minecraft AI Agent Development

https://github.com/crealabs/enhanced-bge-m3-with-clp-and-moe

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Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp)

https://github.com/creapar/crowdscore

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Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges

https://github.com/cristianopatricio/2-step-concept-based-skin-diagnosis

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A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis

https://github.com/cruiseresearchgroup/MAPLE

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MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings

https://github.com/cruiseresearchgroup/i-align

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i-Align: an interpretable knowledge graph alignment model

https://github.com/crypto-code/mu-llama

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Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning

https://github.com/cs-anonymous/expath

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eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path Rules

https://github.com/cs-edwards/advrag

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Hybrid Context Retrieval Augmented Generation Pipeline: LLM-Augmented Knowledge Graphs and Vector Database for Accreditation Reporting Assistance

https://github.com/csbao/kip-privatization

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Keep It Private: Unsupervised Privatization of Online Text

https://github.com/cshaitao/lexrag

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LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation

https://github.com/csjianyang/multilingual-multimodal-nlp

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MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction

https://github.com/csjywu1/adkgd

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ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training

https://github.com/cssai-research/muserag

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MuseRAG: Idea Originality Scoring At Scale

https://github.com/cstevenson-uva/creAI-gpt3

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Putting GPT-3's Creativity to the (Alternative Uses) Test

https://github.com/cstevenson-uva/kidsarc

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Do Large Language Models Solve ARC Visual Analogies Like People Do?

https://github.com/csu-nlp-group/medikal

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medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs

https://github.com/cteant/space

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Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding

https://github.com/cuhealthybrains/mt-llm

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Large Language Model Can Transcribe Speech in Multi-Talker Scenarios with Versatile Instructions

https://github.com/cuhk-arise/mas-resilience

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On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

https://github.com/curai/curai-research

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DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents

https://github.com/cure-lab/guardt2i

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GuardT2I: Defending Text-to-Image Models from Adversarial Prompts

https://github.com/cv-lee/financerag

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Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge

https://github.com/cvs-health/langfair

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An Actionable Framework for Assessing Bias and Fairness in Large Language Model Use Cases

https://github.com/cxcscmu/llm-interviewer

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Understand User Opinions of Large Language Models via LLM-Powered In-the-Moment User Experience Interviews

https://github.com/cxcscmu/ragviz

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RAGViz: Diagnose and Visualize Retrieval-Augmented Generation

https://github.com/cyberooo/manicod

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Detecting Manipulated Contents Using Knowledge-Grounded Inference

https://github.com/cycloneboy/base_sql

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BASE-SQL: A powerful open source Text-To-SQL baseline approach

https://github.com/cysecbench/dataset

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CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models

https://github.com/czy1999/synthrag

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An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms

https://github.com/d-gurgurov/Injecting-Commonsense-Knowledge-into-LLMs

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Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters

https://github.com/d3mlab/cr-lt-kgqa

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CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge

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