https://github.com/phunterlau/paper_without_code/tree/main/examples/PoG/
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
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/phunterlau/paper_without_code/tree/main/examples/community-rag
https://github.com/pkd667/political-alignment
https://github.com/pku-aicare/colacare
https://github.com/pku-dair/hetu-galvatron
FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism
https://github.com/pku-yuangroup/languagebind
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
https://github.com/pku-yuangroup/video-bench
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
https://github.com/pomonam/kronfluence
Studying Large Language Model Generalization with Influence Functions
https://github.com/prannaykaul/mm-ovod
Multi-Modal Classifiers for Open-Vocabulary Object Detection
https://github.com/princeton-nlp/unintentional-unalignment
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors
https://github.com/prithivirajdamodaran/flashrank
COS-Mix: Cosine Similarity and Distance Fusion for Improved Information Retrieval
https://github.com/protllm/protllm
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training
https://github.com/purduedigitaltwin/talk2drive
Personalized Autonomous Driving with Large Language Models: Field Experiments
https://github.com/pwc-1/Paper-5/tree/main/mistral
https://github.com/pwc-1/Paper-9/tree/main/2/minigpt4
https://github.com/pwc-1/Paper-9/tree/main/2/mobilebert
PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT
https://github.com/pwc-1/Paper-9/tree/main/6/CAJ/src/models
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
https://github.com/pwc-1/Paper-9/tree/main/jamba
https://github.com/pwc-1/Paper-9/tree/main/llama
LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
https://github.com/qingyun-wu/autogen-eval
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
https://github.com/qirui-chen/MultiHop-EgoQA
https://github.com/qiujihao19/artemis
GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
https://github.com/qizekun/ReCon
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
https://github.com/rabiulcste/vqazero
Kosmos-2: Grounding Multimodal Large Language Models to the World
https://github.com/rachtibat/lrp-explains-transformers
https://github.com/rachtibat/lrp-for-transformers
https://github.com/raincleared-song/sparse_gpu_operator
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
https://github.com/rasmith/vllm
Efficient Memory Management for Large Language Model Serving with PagedAttention
https://github.com/reczoo/FuxiCTR/tree/main/model_zoo/WuKong
Wukong: Towards a Scaling Law for Large-Scale Recommendation
https://github.com/relic-yuexi/agentcourt
DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model
https://github.com/reml-group/deliberation-on-priors
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
https://github.com/renmengjie7/aisimutoolkit
https://github.com/rle-foundation/hsuanwu
RLLTE: Long-Term Evolution Project of Reinforcement Learning
https://github.com/robotics-4-all/ISSEL-Announcements
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/ruckbreasoning/tablellm
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
https://github.com/runpeidong/act
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.