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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/davidschulte/hf-dataset-selector

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Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning

https://github.com/davidsroth/hubert-disfl

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End-to-End Speech Recognition and Disfluency Removal with Acoustic Language Model Pretraining

https://github.com/davisrbr/bsd-misuse

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Benchmarking Misuse Mitigation Against Covert Adversaries

https://github.com/dawenl/vae_cf

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Variational Autoencoders for Collaborative Filtering

https://github.com/dayihengliu/Mu-Forcing-VRAE

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mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation

https://github.com/daynauth/elo_paper

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Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat

https://github.com/dayoon-ko/GrowOVER

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GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?

https://github.com/dbamman/geoSGLM

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Compositional Demographic Word Embeddings

https://github.com/dbamman/latin-bert

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Latin BERT: A Contextual Language Model for Classical Philology

https://github.com/dbmdz/berts

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German's Next Language Model

https://github.com/dbmdz/clef-hipe

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hmBERT: Historical Multilingual Language Models for Named Entity Recognition

https://github.com/dbouchabou/using-language-model-to-bootstrap-human-activity-recognition-in-smart-homes

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Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes

https://github.com/dccuchile/beto

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Spanish Pre-trained BERT Model and Evaluation Data

https://github.com/dcdmllm/align2llava

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Align$^2$LLaVA: Cascaded Human and Large Language Model Preference Alignment for Multi-modal Instruction Curation

https://github.com/dcdmllm/healthgpt

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HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation

https://github.com/dcdmllm/momentor

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Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning

https://github.com/dcdmllm/worldgpt

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WorldGPT: Empowering LLM as Multimodal World Model

https://github.com/dcy0577/Text2BIM

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Text2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent Framework

https://github.com/dd1497/oie-td

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Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection

https://github.com/deaglanbartlett/katz

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Priors for symbolic regression

https://github.com/debayan/gett-qa

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GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering

https://github.com/debrup-61/mathsensei

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MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning

https://github.com/declare-lab/PromptDistill

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PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference

https://github.com/declare-lab/domadapter

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UDApter -- Efficient Domain Adaptation Using Adapters

https://github.com/declare-lab/lg-vqa

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Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts

https://github.com/declare-lab/relationprompt

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RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction

https://github.com/deep-diver/llamaduo

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LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs

https://github.com/deep-over/film

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Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models

https://github.com/deep-spin/adasplash

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AdaSplash: Adaptive Sparse Flash Attention

https://github.com/deep-spin/chunk-based_knn-mt

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Chunk-based Nearest Neighbor Machine Translation

https://github.com/deep-spin/efficient_knn_mt

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Efficient Machine Translation Domain Adaptation

https://github.com/deep-spin/infinite-former

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$\infty$-former: Infinite Memory Transformer

https://github.com/deep-spin/lmt_hallucinations

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Hallucinations in Large Multilingual Translation Models

https://github.com/deep-spin/sparse_text_generation

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Sparse Text Generation

https://github.com/deep-spin/tower-eval

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

https://github.com/deepgraphlearning/esm-s

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Structure-Informed Protein Language Model

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