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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/karpurapus/bddgpt-automate-tests

공식 코드

Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation

https://github.com/karthiksoman/zebra-Llama

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Zebra-Llama: A Context-Aware Large Language Model for Democratizing Rare Disease Knowledge

https://github.com/kdr/videorag-mrr2024

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Video Enriched Retrieval Augmented Generation Using Aligned Video Captions

https://github.com/keanudicap/MSQA

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Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering

https://github.com/keke-nice/medtvt-r1

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MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis

https://github.com/keke-nice/period-llm

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Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model

https://github.com/kel-lu/scigen

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Explaining Relationships Between Scientific Documents

https://github.com/kennethwdk/LocLLM

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LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model

https://github.com/kennyyao2001/16824-caloraify

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CaLoRAify: Calorie Estimation with Visual-Text Pairing and LoRA-Driven Visual Language Models

https://github.com/kent0n-li/chatdoctor

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ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge

https://github.com/kevinwu23/stanfordclasheval

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ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

https://github.com/kevinyaobytedance/llm_unlearn

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Large Language Model Unlearning

https://github.com/khyatikhandelwal/indian-llms-bias

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Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language Models

https://github.com/kicarussays/medrep

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MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models

https://github.com/kihopark/llm_categorical_hierarchical_representations

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The Geometry of Categorical and Hierarchical Concepts in Large Language Models

https://github.com/kilimanj4r0/code-summarization-beyond-function-level

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Code Summarization Beyond Function Level

https://github.com/kimdanny/fair-rag

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Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation

https://github.com/kimdanny/starlight-liverag

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LTRR: Learning To Rank Retrievers for LLMs

https://github.com/kimho666/llm_hardware_survey

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Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective

https://github.com/kinianlo/contextuality-in-llm

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Quantum-Like Contextuality in Large Language Models

https://github.com/kitft/funsearch

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Generative Modeling for Mathematical Discovery

https://github.com/kkskp/re-rag

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RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation

https://github.com/kkyuhun94/dalda

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DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling

https://github.com/klarna/product-page-dataset

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The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models

https://github.com/kmatton/walk-the-talk

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Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

https://github.com/kmswin1/qpaug

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QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs

https://github.com/knowledge-ukraine/ontochatgpt

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OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning

https://github.com/komeijiforce/emojilm

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EmojiLM: Modeling the New Emoji Language

https://github.com/kortukov/realistic_knowledge_conflicts

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Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents

https://github.com/krafton-ai/rare-to-frequent

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Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

https://github.com/krandiash/octopus

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Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing

https://github.com/krishgoel/chronocept-baseline-models

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Chronocept: Instilling a Sense of Time in Machines

https://github.com/krishgoel/hiro

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HIRO: Hierarchical Information Retrieval Optimization

https://github.com/krr-oxford/oet

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Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement

https://github.com/krystalan/RAGtrans

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Retrieval-Augmented Machine Translation with Unstructured Knowledge

https://github.com/krzentner/language-world

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Conditionally Combining Robot Skills using Large Language Models

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