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Language Modeling

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/huggingface/text-generation-inference

A Watermark for Large Language Models

https://github.com/huggingface/tflite-android-transformers

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

https://github.com/huggingface/trl

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

https://github.com/huggingface/xlnet

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

https://github.com/hugozhl/hetu

EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate

https://github.com/huhailinguist/ChineseNLIProbing

Unsupervised Cross-lingual Representation Learning at Scale

https://github.com/huiwy/reflection-on-trees

Reasoning with Language Model is Planning with World Model

https://github.com/huiyinglu/NLP-Deep-Learning-Chatbot

End-To-End Memory Networks

https://github.com/human9000/nd-mamba2-torch

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

https://github.com/humanmllm/r1-omni

R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning

https://github.com/hunto/localmamba

VMamba: Visual State Space Model

https://github.com/hustvl/dig

Gated Linear Attention Transformers with Hardware-Efficient Training

https://github.com/hustvl/vim

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

https://github.com/huyphan168/PEER

Mixture of A Million Experts

https://github.com/hyang0129/foodclassapp

Regularizing Neural Networks by Penalizing Confident Output Distributions

https://github.com/i404788/s5-pytorch

Hyena Hierarchy: Towards Larger Convolutional Language Models

https://github.com/ialifinaritra/text_summarization

FlauBERT: Unsupervised Language Model Pre-training for French

https://github.com/iamNCJ/DUMA-pytorch-lightning

DUMA: Reading Comprehension with Transposition Thinking

https://github.com/iamjanvijay/meet

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training

https://github.com/iamjanvijay/set

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training

https://github.com/ibaiGorordo/ONNX-YOLO-World-Open-Vocabulary-Object-Detection

YOLO-World: Real-Time Open-Vocabulary Object Detection

https://github.com/ibatra/nlm

Language Modeling with Gated Convolutional Networks

https://github.com/ibm/activation-steering

Steering Language Models With Activation Engineering

https://github.com/ibm/graph_ensemble_learning

AMR Parsing via Graph-Sequence Iterative Inference

https://github.com/ibm/vira-intent-discovery

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/iceraionly/Tree-Transformer

Tree Transformer: Integrating Tree Structures into Self-Attention

https://github.com/icewing1996/bert-syntax

Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies

https://github.com/icewing1996/bert_dep

Semi-supervised Sequence Learning

https://github.com/icip-cas/Word-Deed-Consistency-Test

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

https://github.com/ictnlp/nast-s2x

Glancing Transformer for Non-Autoregressive Neural Machine Translation

https://github.com/idc-dsi/Arapet

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

https://github.com/idiap/importance-sampling

Biased Importance Sampling for Deep Neural Network Training

https://github.com/idiotprofessorchen/bert.github.io

Semi-supervised Sequence Learning

https://github.com/ieellee/ullsam

Unifying Segment Anything in Microscopy with Multimodal Large Language Model

https://github.com/ielab/characterbert-dr

Dealing with Typos for BERT-based Passage Retrieval and Ranking

https://github.com/ifrit98/layer-glu

Language Modeling with Gated Convolutional Networks

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