Papers with Code 아카이브

Language Modeling

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코드

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

https://github.com/vijay120/bert

Semi-supervised Sequence Learning

https://github.com/vilm-ai/viet-llm-eval

Language Models are Few-Shot Learners

https://github.com/vimarshc/fastai_experiments

Regularizing RNNs by Stabilizing Activations

https://github.com/vinhkhuc/MemN2N-babi-python

End-To-End Memory Networks

https://github.com/vinitunni/CoupledLoss-LAS-ESPNet

Improved training of end-to-end attention models for speech recognition

https://github.com/vios-s/ldm-phrase-grounding

Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing

https://github.com/vishnuanil122/Bert-Binary-Text-Classifier

Semi-supervised Sequence Learning

https://github.com/vision-cair/minigpt-4

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

https://github.com/vladsandulescu/hatefulmemes

UNITER: UNiversal Image-TExt Representation Learning

https://github.com/vlm-rl/ocean-r1

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model

https://github.com/voice-privacy-challenge/voice-privacy-challenge-2024

Speaker anonymization using neural audio codec language models

https://github.com/voidism/dola

Generating Benchmarks for Factuality Evaluation of Language Models

https://github.com/volcengine/vegiantmodel

Language Models are Few-Shot Learners

https://github.com/volgachen/Pix2Seq_Pytorch

Pix2seq: A Language Modeling Framework for Object Detection

https://github.com/vrunm/text-classification-financial-phrase-bank

FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

https://github.com/vvvm23/mamba-jax

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

https://github.com/vvvm23/sundae

Step-unrolled Denoising Autoencoders for Text Generation

https://github.com/wan-video/wan2.1

Ring Attention with Blockwise Transformers for Near-Infinite Context

https://github.com/wang-h/bert-relation-classification

Enriching Pre-trained Language Model with Entity Information for Relation Classification

https://github.com/wangclnlp/deepspeed-chat-extension

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

https://github.com/wangcunxiang/SemEval2020-Task4-Commonsense-Validation-and-Explanation

Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation

https://github.com/wayalhruhi/gogle_bert

Semi-supervised Sequence Learning

https://github.com/wayveai/driving-with-llms

LingoQA: Visual Question Answering for Autonomous Driving

https://github.com/wchh127/yykf

Semi-supervised Sequence Learning

https://github.com/wdrink/simplear

Accelerating Large Language Model Decoding with Speculative Sampling

https://github.com/web-arena-x/webarena

Hierarchical Prompting Assists Large Language Model on Web Navigation

https://github.com/webgeist/scrnn-tensorflow

Learning Longer Memory in Recurrent Neural Networks

https://github.com/webis-de/acl-24

LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback

https://github.com/weitunglin/pixmamba

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

https://github.com/weiwang31/icemamba

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

https://github.com/weixiongust/rlhf-reward-modeling

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint

https://github.com/weixsong/bilm-tf

Deep contextualized word representations

https://github.com/welkincici/MatchingNet

Matching Networks for One Shot Learning

https://github.com/wellecks/llemma_formal2formal

Llemma: An Open Language Model For Mathematics

https://github.com/wenbinlee/defensivefsl

Matching Networks for One Shot Learning

https://github.com/wenet-e2e/wenet

Conformer: Convolution-augmented Transformer for Speech Recognition

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