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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/bezirganyan/luma

공식 코드

LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data

https://github.com/bhavyajeet/clfe

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Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages

https://github.com/bhui97/pleak

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PLeak: Prompt Leaking Attacks against Large Language Model Applications

https://github.com/bhushank/kge-rl

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Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs

https://github.com/bids-xu-lab/clinical_entity_recognition_using_gpt_models

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Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering

https://github.com/bigai-nlco/docgnre

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Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models

https://github.com/bilaliman/rv_explainability

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Generating Zero-shot Abstractive Explanations for Rumour Verification

https://github.com/bilel-bj/rosgpt_vision

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ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts

https://github.com/bin123apple/autocoder

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AutoCoder: Enhancing Code Large Language Model with \textsc{AIEV-Instruct}

https://github.com/bingreeky/MaAS

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Multi-agent Architecture Search via Agentic Supernet

https://github.com/bingreeky/gmemory

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G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

https://github.com/bio-ontology-research-group/walking-rdf-and-owl

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Neuro-symbolic representation learning on biological knowledge graphs

https://github.com/biofm/openbiomed

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MolFM: A Multimodal Molecular Foundation Model

https://github.com/biogemt/agentomics-ml

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Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data

https://github.com/birco-benchmark/birco

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BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives

https://github.com/birdchristopher/sale

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SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling

https://github.com/bkane2/habitual-response-generation

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We are what we repeatedly do: Inducing and deploying habitual schemas in persona-based responses

https://github.com/bklight999/www25-gcoder

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GCoder: Improving Large Language Model for Generalized Graph Problem Solving

https://github.com/bkolosk1/bablfusion

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AutoML-guided Fusion of Entity and LLM-based Representations for Document Classification

https://github.com/bkolosk1/kbnr

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Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles

https://github.com/blazerye/drugassist

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DrugAssist: A Large Language Model for Molecule Optimization

https://github.com/blender-nlp/smartbook

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SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts

https://github.com/blindedwebconf/submission1688

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Secure Evaluation of Knowledge Graph Merging Gain

https://github.com/bluorion-com/ZClip

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ZClip: Adaptive Spike Mitigation for LLM Pre-Training

https://github.com/bluorion-com/weight_rescaling

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Variance Control via Weight Rescaling in LLM Pre-training

https://github.com/blyucs/autogmap

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AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars

https://github.com/blzhu0823/pathfusion

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Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths

https://github.com/bmi-labmedinfo/nlp-radiology-paper

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Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers

https://github.com/bmiao10/contraceptive-switching

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Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models

https://github.com/bminixhofer/alm

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Cross-Tokenizer Distillation via Approximate Likelihood Matching

https://github.com/bohanhou14/clerc

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CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation

https://github.com/booydar/babilong

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In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss

https://github.com/bopan3/vis-shepherd

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VIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation

https://github.com/borealisai/staypositive

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Stay Positive: Knowledge Graph Embedding Without Negative Sampling

https://github.com/boschresearch/autoclip

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AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models

https://github.com/boschresearch/exekglib

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ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics

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