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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/MooreThreads/TurboRAG

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TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text

https://github.com/MultifacetedNLP/Web-Agents-Unsupervised

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Grounded Language Agent for Product Search via Intelligent Web Interactions

https://github.com/MultimodalGeo/GeoText-1652

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Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching

https://github.com/MurrayTom/SG-Bench

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SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types

https://github.com/MurtyShikhar/NNetnav

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NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator

https://github.com/NBAiLab/notram

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Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model

https://github.com/NEUIR/CONAN

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Building A Coding Assistant via the Retrieval-Augmented Language Model

https://github.com/NJU-LHRS/LHRS-Bot

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LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model

https://github.com/NVIDIA/Megatron-LM

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Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

https://github.com/NVIDIA/NeMo

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BioMegatron: Larger Biomedical Domain Language Model

https://github.com/NVIDIA/audio-flamingo

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Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities

https://github.com/NVIDIA/sentiment-discovery

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Large Scale Language Modeling: Converging on 40GB of Text in Four Hours

https://github.com/NVIDIA/transformer-ls

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Long-Short Transformer: Efficient Transformers for Language and Vision

https://github.com/NVlabs/FoundationStereo

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FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

https://github.com/NVlabs/GatedDeltaNet

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Gated Delta Networks: Improving Mamba2 with Delta Rule

https://github.com/NanxuGong/ELLM-FT

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Evolutionary Large Language Model for Automated Feature Transformation

https://github.com/Nardien/NMG

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Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation

https://github.com/Nealcly/templateNER

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Template-Based Named Entity Recognition Using BART

https://github.com/NervanaSystems/distiller

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Improving Neural Network Quantization without Retraining using Outlier Channel Splitting

https://github.com/Neural-Space/indic-transformers

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Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages

https://github.com/NickDiSanto/Twitter2030/tree/main/Beta

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Transcending the Attention Paradigm: Representation Learning from Geospatial Social Media Data

https://github.com/Nickolas-option/QA_on_Tabular_Data_SemEval2025_Task8

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Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA

https://github.com/NingMiao/MC-tailor

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Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods

https://github.com/Noahs-ARK/PaLM

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PaLM: A Hybrid Parser and Language Model

https://github.com/Noahs-ARK/groc

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Grounded Compositional Outputs for Adaptive Language Modeling

https://github.com/Noahs-ARK/rational-recurrences

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Rational Recurrences

https://github.com/NohTow/PPL-MCTS

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Which Discriminator for Cooperative Text Generation?

https://github.com/OPPOMKLab/u-LLaVA

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u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model

https://github.com/OPTML-Group/Unlearn-Simple

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Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning

https://github.com/OVAD-Benchmark/ovad-bechmark-code

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Open-vocabulary Attribute Detection

https://github.com/Observeai-Research/Phoneme-BERT

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Phoneme-BERT: Joint Language Modelling of Phoneme Sequence and ASR Transcript

https://github.com/OmarErak/LLM-CL

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Large Language Model-Driven Curriculum Design for Mobile Networks

https://github.com/OnlpLab/Hebrew-Sentiment-Data

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AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With

https://github.com/OpenDFM/MobA

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MobA: Multifaceted Memory-Enhanced Adaptive Planning for Efficient Mobile Task Automation

https://github.com/OpenDFM/ibsen

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IBSEN: Director-Actor Agent Collaboration for Controllable and Interactive Drama Script Generation

https://github.com/OpenMotionLab/MotionChain

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MotionChain: Conversational Motion Controllers via Multimodal Prompts

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