https://github.com/liamdugan/question_generation
Simplifying Paragraph-level Question Generation via Transformer Language Models
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/liano3/RAG-fairness
https://github.com/lichengunc/pretrain-vl-data
https://github.com/lifeiteng/vall-e
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
https://github.com/lifu-tu/ENGINE
Learning Approximate Inference Networks for Structured Prediction
https://github.com/lifu-tu/INFNET
Learning Approximate Inference Networks for Structured Prediction
https://github.com/lightaime/camel
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
https://github.com/limberc/deep-gradient-compression
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
https://github.com/lindermanlab/S5
Hungry Hungry Hippos: Towards Language Modeling with State Space Models
https://github.com/linghao-jin/canmt-challenges
https://github.com/lingxiaoshawn/usd3
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
https://github.com/linhaowei1/fine-tuning-scaling-law
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
https://github.com/linhuixiao/hivg
OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling
https://github.com/linjieli222/hero_video_feature_extractor
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
https://github.com/linzhiqiu/clip-flant5
https://github.com/linzwcs/aft
Mixture-of-Agents Enhances Large Language Model Capabilities
https://github.com/lions-epfl/lion
Retentive Network: A Successor to Transformer for Large Language Models
https://github.com/lippman1125/darts_notes
https://github.com/listenviolet/XLNet
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
https://github.com/little-misfit/survey-of-virtual-try-on
https://github.com/liucongg/chatglm-finetuning
https://github.com/liunian-harold-li/desco
DesCo: Learning Object Recognition with Rich Language Descriptions
https://github.com/ljy19970415/unibrain
https://github.com/lkfo415579/joint
Joint Source-Target Self Attention with Locality Constraints
https://github.com/lkopf/cosy
Identifying Interpretable Subspaces in Image Representations
https://github.com/llavar/llavar-2
https://github.com/llm-council/llm-council
Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective Tasks
https://github.com/llm4eval/LLMJudge
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval
https://github.com/llmbev/talk2bev
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving
https://github.com/llppff/ptb-lstmorqrnn-pytorch
https://github.com/llx666/git_demo
https://github.com/lmarent/TranslateAlignRetrieve
On the Cross-lingual Transferability of Monolingual Representations
https://github.com/lmcache/lmcache
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving
https://github.com/lmd0311/pointmamba
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/lmtoan/nlp-cs224n
https://github.com/lntzm/cvpr24track-longvideo
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.