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/stabuev/d2l-ru

ControlVAE: Tuning, Analytical Properties, and Performance Analysis

https://github.com/stanford-crfm/levanter

Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

https://github.com/stanfordmlgroup/nlc

Neural Language Correction with Character-Based Attention

https://github.com/stanfordmlgroup/nlm-noising

Data Noising as Smoothing in Neural Network Language Models

https://github.com/stanfordnlp/dsp

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

https://github.com/stanleyjzheng/ignitionhacks

Unsupervised Cross-lingual Representation Learning at Scale

https://github.com/stareru/csqa_debertav3

DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

https://github.com/statsu1990/ReZero-Cifar100

ReZero is All You Need: Fast Convergence at Large Depth

https://github.com/stefan-it/europeana-bert

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

https://github.com/stefan-it/fine-tuned-berts-seq

How multilingual is Multilingual BERT?

https://github.com/stefanpantic/asr

Jasper: An End-to-End Convolutional Neural Acoustic Model

https://github.com/stelladk/PretrainingBERT

JuriBERT: A Masked-Language Model Adaptation for French Legal Text

https://github.com/stepfun-ai/step-audio

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model

https://github.com/steph-jung/GenieType

Federated Learning for Mobile Keyboard Prediction

https://github.com/steventan0110/star

Nugget: Neural Agglomerative Embeddings of Text

https://github.com/stikbuf/Language_Modeling

End-To-End Memory Networks

https://github.com/stillarrow/S2VT_ACT

Sequence to Sequence -- Video to Text

https://github.com/sts-vlcc/sts-vlcc

Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

https://github.com/styfeng/SMERTI

GenAug: Data Augmentation for Finetuning Text Generators

https://github.com/stzhang-patrick/arcmmlu

ArcGPT: A Large Language Model Tailored for Real-world Archival Applications

https://github.com/subbareddy248/linguistic-properties-brain-alignment

Joint processing of linguistic properties in brains and language models

https://github.com/sucheta19/Text-Classification-Using-CNN

Character-Aware Neural Language Models

https://github.com/suinleelab/path_explain

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

https://github.com/sunlab-osu/understanding-cot

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

https://github.com/suno-ai/bark

AudioLM: a Language Modeling Approach to Audio Generation

https://github.com/sunzeyeah/rlhf

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

https://github.com/superli3/CYRMPR

Evaluating Large Language Models Trained on Code

https://github.com/superli3/codenavi

Evaluating Large Language Models Trained on Code

https://github.com/surafelml/Afro-NMT

Improving Neural Machine Translation Models with Monolingual Data

https://github.com/suu990901/InfoEntropy-Loss

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

https://github.com/suvalaki/Deeper

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

https://github.com/svakulenk0/response_eval

Semi-supervised Sequence Learning

https://github.com/swastishreya/BERT_as_a_conditional_generative_model

BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model

https://github.com/swe-agent/swe-agent

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

https://github.com/switiz/las.pytorch

Listen, Attend and Spell

https://github.com/sxjscience/GluonNLP-Slot-Filling

Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents

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