https://github.com/eason-li-ais/drafterbench
공식 코드DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
Papers with Code 아카이브
Large Language Model
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/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/elakhatibi/cdf-rag
공식 코드CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation
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/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 코드https://github.com/embedded-robotics/path-rag
공식 코드Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering
https://github.com/emocareai/chatpsychiatrist
공식 코드ChatCounselor: A Large Language Models for Mental Health Support
https://github.com/emorynlp/gpt-abceval
공식 코드Leveraging Large Language Models for Automated Dialogue Analysis
https://github.com/emu1729/gist
공식 코드GIST: Generating Image-Specific Text for Fine-grained Object Classification
https://github.com/endlinc/llava-spacesgg
공식 코드https://github.com/engineeringsoftware/coditt5
공식 코드CoditT5: Pretraining for Source Code and Natural Language Editing
https://github.com/engineeringsoftware/exlong
공식 코드A Tool for Generating Exceptional Behavior Tests With Large Language Models
https://github.com/engineerkong/emorl
공식 코드EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning
https://github.com/eoinkenny/regulatable_llms
공식 코드Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.