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/todd-cook/ML-You-Can-Use/blob/master/probablistic_language_modeling/automatic_grammatical_error_corrections_using_BERT_GPT2.ipynb

The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction

https://github.com/togethercomputer/moa

Mixture-of-Agents Enhances Large Language Model Capabilities

https://github.com/togethercomputer/stripedhyena

Hyena Hierarchy: Towards Larger Convolutional Language Models

https://github.com/tomaarsen/attention_sinks

Efficient Streaming Language Models with Attention Sinks

https://github.com/tomgoter/nlp_finalproject

XLNet: Generalized Autoregressive Pretraining for Language Understanding

https://github.com/tommyip/mamba2-minimal

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

https://github.com/tomsercu/lstm

Recurrent Neural Network Regularization

https://github.com/tonyzhaozh/few-shot-learning

Language Models are Few-Shot Learners

https://github.com/topdu/openocr

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

https://github.com/torchrwkv/flash-linear-attention

Gated Linear Attention Transformers with Hardware-Efficient Training

https://github.com/totalgood/viddesc

A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering

https://github.com/tpoisonooo/huixiangdou2

Labeling supervised fine-tuning data with the scaling law

https://github.com/tqch/esgd-ws

Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks

https://github.com/tr7200/Patent-Text-Analytics-and-Venture-backed-Innovation

Improving Generalization Performance by Switching from Adam to SGD

https://github.com/traffic-alpha/tsc-harla

iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement

https://github.com/traviscoan/cards

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/trevor-richardson/rnn_zoo

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

https://github.com/trustworthy-ml-lab/vlg-cbm

Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification

https://github.com/tshi04/LeafNATS

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

https://github.com/tsinghua-fib-lab/DoT

Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents

https://github.com/ttecles/aidl-lyrics-recognition

End-to-end lyrics Recognition with Voice to Singing Style Transfer

https://github.com/ttt496/vit-pytorch

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

https://github.com/tuanct1997/Federated-Learning-ASR-based-on-wav2vec-2.0

Federated Learning for ASR based on Wav2vec 2.0

https://github.com/tuanio/conformer-rnnt

Conformer: Convolution-augmented Transformer for Speech Recognition

https://github.com/tuanio/nextformer

Conformer: Convolution-augmented Transformer for Speech Recognition

https://github.com/turkunlp/megatron-deepspeed

Language Models are Few-Shot Learners

https://github.com/tvinith/bert

Semi-supervised Sequence Learning

https://github.com/twairball/keras_lstm_vae

Generating Sentences from a Continuous Space

https://github.com/twitter-research/multilingual-alignment-tpp

Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction

https://github.com/twobooks/intro-aws-training

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

https://github.com/tyliupku/Arbitrary-Order-Infnet

Learning Approximate Inference Networks for Structured Prediction

https://github.com/typefly/TypeFly

TypeFly: Flying Drones with Large Language Model

https://github.com/typoverflow/OfflineRL-Lib

Decision Transformer: Reinforcement Learning via Sequence Modeling

https://github.com/tyxr/bert

Semi-supervised Sequence Learning

https://github.com/uabinf/nlp-fall-2019-project-anuradha_shinjitha

Unified Language Model Pre-training for Natural Language Understanding and Generation

https://github.com/uakarsh/Eit-Enhanced-Interactive-Transformer

EIT: Enhanced Interactive Transformer

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.