https://github.com/ymgw55/cosine-similarity-via-ica
공식 코드Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings
Papers with Code 아카이브
Language Modelling
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A language model is a model of natural language. Language models are useful for a variety of tasks, including speech recognition, machine translation, natural language generation (generating more human-like text), optical character recognition, route optimization, handwriting recognition, grammar induction, and information retrieval.
Large language models (LLMs), currently their most advanced form, are predominantly based on transformers trained on larger datasets (frequently using words scraped from the public internet). They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.
Source: Wikipedia
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ymoslem/adaptive-mt-llm-fine-tuning
공식 코드Fine-tuning Large Language Models for Adaptive Machine Translation
https://github.com/yoadtew/zero-shot-image-to-text
공식 코드ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
https://github.com/yoadtew/zero-shot-video-to-text
공식 코드https://github.com/yogarshi/SemDiverge
공식 코드Identifying Semantic Divergences in Parallel Text without Annotations
https://github.com/yonatanbitton/data_efficient_masked_language_modeling_for_vision_and_language
공식 코드Data Efficient Masked Language Modeling for Vision and Language
https://github.com/yongchao98/promst
공식 코드https://github.com/yookyungkho/mav
공식 코드https://github.com/yoonkim/lstm-char-cnn
공식 코드https://github.com/yoosan/sentpair
공식 코드Modelling Sentence Pairs with Tree-structured Attentive Encoder
https://github.com/yosukehiguchi/espnet
공식 코드https://github.com/you68681/lpw
공식 코드Planning-Driven Programming: A Large Language Model Programming Workflow
https://github.com/youlandasu/choice-fusion
공식 코드Choice Fusion as Knowledge for Zero-Shot Dialogue State Tracking
https://github.com/youngdubbydu/llm-agent-optimization
공식 코드A Survey on the Optimization of Large Language Model-based Agents
https://github.com/youngerous/qtree
공식 코드Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation
https://github.com/youngfly11/LCMCG-PyTorch
공식 코드https://github.com/youngjoo-epfl/gconvRNN
공식 코드Structured Sequence Modeling with Graph Convolutional Recurrent Networks
https://github.com/youngkyunJang/GPQ
공식 코드Generalized Product Quantization Network for Semi-supervised Image Retrieval
https://github.com/youngsheen/gpst
공식 코드Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer
https://github.com/yoyo-yun/plora
공식 코드https://github.com/ypwang61/VAS
공식 코드CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
https://github.com/ypwang61/negcliploss_normsim
공식 코드CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
https://github.com/ypxie/HDGan
공식 코드Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network
https://github.com/yrf1/llm-massivemulticulturenormsknowledge-nclb
공식 코드Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking
https://github.com/yrf1/normsage
공식 코드NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly
https://github.com/ys-feng/DemoGraph
공식 코드Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
https://github.com/ys-zong/foolyourvllms
공식 코드Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations
https://github.com/ysh-1998/csrec
공식 코드Common Sense Enhanced Knowledge-based Recommendation with Large Language Model
https://github.com/ysh-1998/lrd
공식 코드Sequential Recommendation with Latent Relations based on Large Language Model
https://github.com/ysngki/mixencoder
공식 코드Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling
https://github.com/ysngki/xmoe
공식 코드XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection
https://github.com/ysw1021/scope
공식 코드Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor
https://github.com/ysymyth/ec-nl
공식 코드https://github.com/ysymyth/tree-of-thought-llm
공식 코드Tree of Thoughts: Deliberate Problem Solving with Large Language Models
https://github.com/ysz2022/nerco
공식 코드Implicit Neural Representation for Cooperative Low-light Image Enhancement
https://github.com/ytomc/autoassumpdl
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.