Papers with Code 아카이브

Language Modeling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/codefuse-ai/codefuse-evaluation

Evaluating Large Language Models Trained on Code

https://github.com/codeguardplus/codeguardplus

Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

https://github.com/codelion/optillm

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

https://github.com/codelion/optillm/blob/main/optillm/moa.py

Mixture-of-Agents Enhances Large Language Model Capabilities

https://github.com/codelion/optillm/blob/main/optillm/plugins/coc_plugin.py

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

https://github.com/codelion/pts

Phi-4 Technical Report

https://github.com/cohere-labs-community/m-rewardbench

M-RewardBench: Evaluating Reward Models in Multilingual Settings

https://github.com/colaprograms/speechify

Listen, Attend and Spell

https://github.com/coldmist-lu/erroranalysis_prompt

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

https://github.com/coldmist-lu/mqm_ape

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks

https://github.com/collabora/whisperspeech

Simple and Controllable Music Generation

https://github.com/colorfulscoop/tfdlg

The Curious Case of Neural Text Degeneration

https://github.com/comicencyclo/TransferLearning_DiscriminativeFineTuning

Universal Language Model Fine-tuning for Text Classification

https://github.com/commissarsilver/cvt

Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

https://github.com/common-english/bert-all

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/complementizer/rl-sentence-compression

Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction

https://github.com/conceptofmind/LaMDA-pytorch

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

https://github.com/conceptofmind/PaLM-flax

PaLM: Scaling Language Modeling with Pathways

https://github.com/conceptofmind/Token-to-Token-ViT-flax

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

https://github.com/conceptofmind/lamda-rlhf-pytorch

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

https://github.com/conceptofmind/palm

A Length-Extrapolatable Transformer

https://github.com/consequentai/fneval

Mixtral of Experts

https://github.com/contextlab/abstract2paper

Language Models are Few-Shot Learners

https://github.com/convergence-lab/novograd

Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks

https://github.com/cooijmanstim/recurrent-batch-normalization

Recurrent Batch Normalization

https://github.com/coolsunxu/rezero_tf2

ReZero is All You Need: Fast Convergence at Large Depth

https://github.com/cor3bit/somax

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

https://github.com/cordercorder/knn-models

Generalization through Memorization: Nearest Neighbor Language Models

https://github.com/corl-team/CORL

Decision Transformer: Reinforcement Learning via Sequence Modeling

https://github.com/coronazap/bert_client

Semi-supervised Sequence Learning

https://github.com/cosmoquester/2021-dialogue-summary-competition

R-Drop: Regularized Dropout for Neural Networks

https://github.com/cosmoquester/speech-recognition

Listen, Attend and Spell

https://github.com/cospplay/bert-master

Semi-supervised Sequence Learning

https://github.com/crazydigger/Callibration-of-GPT

Language Models are Few-Shot Learners

https://github.com/cshannonn/blackscholes_nas

Neural Architecture Search with Reinforcement Learning

https://github.com/cstghitpku/GateMemN2N

End-To-End Memory Networks

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