https://github.com/ianhuang0630/aladdin
공식 코드Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions
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/iankur/vqllm
공식 코드Residual vector quantization for KV cache compression in large language model
https://github.com/ianporada/coref-reeval
공식 코드https://github.com/iapalm/Spoken-ObjectNet
공식 코드https://github.com/ibm-granite/granite-guardian
공식 코드https://github.com/ibm/auto-contrastive-generation
공식 코드The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers
https://github.com/ibm/data-prep-kit
공식 코드Data-Prep-Kit: getting your data ready for LLM application development
https://github.com/ibm/grapher
공식 코드https://github.com/ibm/regression-transformer
공식 코드https://github.com/ibm/sax4bpm
공식 코드How well can a large language model explain business processes as perceived by users?
https://github.com/ibpa/kglm
공식 코드KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction
https://github.com/ibpa/semiautomatedfoodkbc
공식 코드Semi-Automated Construction of Food Composition Knowledge Base
https://github.com/ibraheem-moosa/xlm-indic
공식 코드https://github.com/icalk-nlp/educhat
공식 코드EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
https://github.com/icedpanda/KERL
공식 코드https://github.com/icip-cas/selfretrieval
공식 코드Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
https://github.com/iclr-complex-order/complex-order
공식 코드https://github.com/ictmldm/SCAPE
공식 코드Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation
https://github.com/ictnlp/bayling
공식 코드BayLing 2: A Multilingual Large Language Model with Efficient Language Alignment
https://github.com/ictnlp/flexrag
공식 코드FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation
https://github.com/ictnlp/sled-tts
공식 코드Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space
https://github.com/idanshen/Value-Augmented-Sampling
공식 코드Value Augmented Sampling for Language Model Alignment and Personalization
https://github.com/idea-ccnl/fengshenbang-lm
공식 코드https://github.com/idea-finai/tog
공식 코드Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
https://github.com/idea-finai/tog-2
공식 코드https://github.com/idiap/bayesian-peft
공식 코드Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting
https://github.com/idiap/class-imbalance-multilingual-ft
공식 코드Understanding the effects of language-specific class imbalance in multilingual fine-tuning
https://github.com/idiap/cncsharedtask
공식 코드https://github.com/idiap/contextual-biasing-on-gpus
공식 코드Implementing contextual biasing in GPU decoder for online ASR
https://github.com/idiap/icassp-oov-recognition
공식 코드A Comparison of Methods for OOV-word Recognition on a New Public Dataset
https://github.com/idiap/itm
공식 코드Image-guided topic modeling for interpretable privacy classification
https://github.com/idiap/linearize-distill-pretrained-transformers
공식 코드Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity
https://github.com/idiap/sigma-gpt
공식 코드https://github.com/idllresearch/malicious-gpt
공식 코드Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
https://github.com/idruglab/adcnet
공식 코드ADCNet: a unified framework for predicting the activity of antibody-drug conjugates
https://github.com/ieit-yuan/yuan-2.0
공식 코드YUAN 2.0: A Large Language Model with Localized Filtering-based Attention
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.