https://github.com/eachsheep/ragsynth
공식 코드RAGSynth: Synthetic Data for Robust and Faithful RAG Component Optimization
Papers with Code 아카이브
Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/earth-insights/segearth-r1
공식 코드SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model
https://github.com/eason-li-ais/drafterbench
공식 코드DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
https://github.com/easonxiao-888/mindomni
공식 코드MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO
https://github.com/eastha0526/beyond-ontology-in-dst
공식 코드Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
https://github.com/ecnu-text-computing/imsm
공식 코드https://github.com/ecofri/cxr_llava
공식 코드CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images
https://github.com/ecrows/in-bloom
공식 코드In BLOOM: Creativity and Affinity in Artificial Lyrics and Art
https://github.com/edavalosanaya/LLMsAsEducationalAnalysts
공식 코드https://github.com/eddiegaoo/apt-serve
공식 코드Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving
https://github.com/edgaere/datetime
공식 코드DATETIME: A new benchmark to measure LLM translation and reasoning capabilities
https://github.com/edinburghnlp/mmlongbench
공식 코드MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
https://github.com/edinburghnlp/spice
공식 코드Semantic Parsing for Conversational Question Answering over Knowledge Graphs
https://github.com/edisonni-hku/diras
공식 코드DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation
https://github.com/edisutoyo/satd-augmentation
공식 코드Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
https://github.com/edward-sun/pit
공식 코드Instruction-tuned Language Models are Better Knowledge Learners
https://github.com/egilron/afrisenti-semeval-2023
공식 코드https://github.com/ehsanlatif/g-sciedbert
공식 코드G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German
https://github.com/ejaasaari/lorann
공식 코드LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
https://github.com/ejaasaari/lorann-experiments
공식 코드LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
https://github.com/ekrxjwh2009/R2-KG
공식 코드R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs
https://github.com/elakhatibi/cdf-rag
공식 코드CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation
https://github.com/elated-sawyer/WALL-E
공식 코드WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
https://github.com/eleurent/highway-env
공식 코드https://github.com/eleutherai/gpt-neox
공식 코드https://github.com/eleutherai/sae-auto-interp
공식 코드https://github.com/elianastasio/minigpt-pancreas
공식 코드MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection
https://github.com/eliaslumer/graph-rag-tool-fusion-toollinkos
공식 코드https://github.com/elizaos/eliza
공식 코드https://github.com/ellenmellon/GraphSum
공식 코드https://github.com/ellenzhuwang/VK_OOD
공식 코드Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
https://github.com/ellenzhuwang/lakermap
공식 코드Contextualized Structural Self-supervised Learning for Ontology Matching
https://github.com/elsevier-ai-lab/bioblp
공식 코드BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
https://github.com/eltzanis/maistro
공식 코드https://github.com/elviswxy/rag_fairness
공식 코드Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
https://github.com/em-llm/EM-LLM-model
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.