https://github.com/WanzhengZhu/FUSE
공식 코드FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams
Papers with Code 아카이브
Language Modeling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Wenyueh/LLMforRS_item_representation
공식 코드https://github.com/Whalefishin/LLM_animation
공식 코드Real-time Animation Generation and Control on Rigged Models via Large Language Models
https://github.com/WindyLee0822/Process_Q_Model
공식 코드https://github.com/WoodScene/TaSL
공식 코드KIF: Knowledge Identification and Fusion for Language Model Continual Learning
https://github.com/Wyb0627/KBLink
공식 코드KGLink: A column type annotation method that combines knowledge graph and pre-trained language model
https://github.com/X-LANCE/SLAM-LLM
공식 코드https://github.com/X-PLUG/mPLUG-Owl/tree/main/mPLUG-Owl2
공식 코드mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
https://github.com/XiangLi1999/PrefixTuning
공식 코드https://github.com/XiaoduoAILab/XmodelLM-1.5
공식 코드https://github.com/Xiaomeng-Yang/IPAD
공식 코드IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition
https://github.com/Xiaomeng-Yang/MPSTR
공식 코드Masked and Permuted Implicit Context Learning for Scene Text Recognition
https://github.com/XinyuZhou2000/Spoken_Dialogue
공식 코드Towards Joint Modeling of Dialogue Response and Speech Synthesis based on Large Language Model
https://github.com/XuezheMax/fairseq-apollo
공식 코드https://github.com/XuhuiZhou/CATS
공식 코드https://github.com/Yale-LILY/dart
공식 코드https://github.com/YaoJiayi/CacheBlend
공식 코드CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion
https://github.com/YatinChaudhary/NCLM
공식 코드Explainable and Discourse Topic-aware Neural Language Understanding
https://github.com/YecanLee/Adaptive-Contrastive-Search
공식 코드Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
https://github.com/YerevaNN/warp
공식 코드https://github.com/Yinghao-Li/UQAC
공식 코드Language Model Uncertainty Quantification with Attention Chain
https://github.com/Ymm-cll/Typoglycemia
공식 코드Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia
https://github.com/YouzhiTian/Structured-Content-Preservation-for-Unsupervised-Text-Style-Transfer
공식 코드Structured Content Preservation for Unsupervised Text Style Transfer
https://github.com/YubaoZhao/ECG-Chat
공식 코드ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis
https://github.com/Yue-LLM-Pit/FFA
공식 코드https://github.com/Yuqifan1117/CaCao
공식 코드Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World
https://github.com/ZHZisZZ/emulated-disalignment
공식 코드Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!
https://github.com/ZHZisZZ/modpo
공식 코드Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
https://github.com/ZetangForward/CMD-Context-aware-Model-self-Detoxification
공식 코드CMD: a framework for Context-aware Model self-Detoxification
https://github.com/ZeyuLing/MotionLLaMA
공식 코드MotionLLaMA: A Unified Framework for Motion Synthesis and Comprehension
https://github.com/ZhengaoLi/DISP-LLM-Dimension-Independent-Structural-Pruning
공식 코드DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
https://github.com/Zi-YuanYang/SCAN-PhysFed
공식 코드https://github.com/ZubinGou/multi-view-prompting
공식 코드MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
https://github.com/aabarr/synthetic-datasets
공식 코드https://github.com/aajrami/acl2022-pre-training-objectives-probing
공식 코드https://github.com/aaronserianni/training-free-nas
공식 코드Training-free Neural Architecture Search for RNNs and Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.