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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/carriex/recomp

공식 코드

RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation

https://github.com/carriex/recycled-attention

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Recycled Attention: Efficient inference for long-context language models

https://github.com/caskcsg/TextSmoothing

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Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks

https://github.com/caskcsg/lyaplock

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LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing

https://github.com/caskcsg/sentemb

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InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings

https://github.com/caskcsg/sentemb/tree/main/InfoCSE

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InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings

https://github.com/casmlab/datachat

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DataChat: Prototyping a Conversational Agent for Dataset Search and Visualization

https://github.com/castorini/biasprobe

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What Do Llamas Really Think? Revealing Preference Biases in Language Model Representations

https://github.com/castorini/dhr

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Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval

https://github.com/catherinearnett/morphscore

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Why do language models perform worse for morphologically complex languages?

https://github.com/cathyxl/magic

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MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

https://github.com/catworldlee/gaussian-mixture-mask-attention

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Toward a Deeper Understanding: RetNet Viewed through Convolution

https://github.com/cau-se/gh-archive-code-retrieval

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JavaBERT: Training a transformer-based model for the Java programming language

https://github.com/causalNLP/moralmachine

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Language Model Alignment in Multilingual Trolley Problems

https://github.com/causalnlp/logical-fallacy

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Logical Fallacy Detection

https://github.com/causalnlp/multitp

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Language Model Alignment in Multilingual Trolley Problems

https://github.com/cbaziotis/lm-prior-for-nmt

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Language Model Prior for Low-Resource Neural Machine Translation

https://github.com/cbaziotis/nmt-pretraining-objectives

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Exploring Unsupervised Pretraining Objectives for Machine Translation

https://github.com/cbaziotis/seq3

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SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression

https://github.com/cbjuan/tokenizers-neural-nets-2020-paper

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Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches

https://github.com/cciiplab/dpt

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Declaration-based Prompt Tuning for Visual Question Answering

https://github.com/cctien/bimultialign

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Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining

https://github.com/cdmalon/finetune-transformer-lm

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Team Papelo: Transformer Networks at FEVER

https://github.com/ceeai/elle

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Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain

https://github.com/celbree/reacc

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ReACC: A Retrieval-Augmented Code Completion Framework

https://github.com/cemuluoglakci/hypotermqa

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HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs

https://github.com/cerebras/modelzoo

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BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model

https://github.com/cerebras/online-normalization

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Online Normalization for Training Neural Networks

https://github.com/cerebrasresearch/nanogns

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Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers

https://github.com/cestlucas/rate

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RaTE: a Reproducible automatic Taxonomy Evaluation by Filling the Gap

https://github.com/cewu/ptnl

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Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?

https://github.com/cgraywang/deepex

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Zero-Shot Information Extraction as a Unified Text-to-Triple Translation

https://github.com/cgraywang/deepstruct

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DeepStruct: Pretraining of Language Models for Structure Prediction

https://github.com/cgraywang/gluon-nlp-1

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Language Models with Transformers

https://github.com/chaeyoon-jang/bomf

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Model Fusion through Bayesian Optimization in Language Model Fine-Tuning

https://github.com/chaitanyamalaviya/expertqa

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ExpertQA: Expert-Curated Questions and Attributed Answers

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