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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/solitaryzero/numprobe

공식 코드

Language Models Encode the Value of Numbers Linearly

https://github.com/som-shahlab/clinfo.ai

공식 코드

Clinfo.ai: An Open-Source Retrieval-Augmented Large Language Model System for Answering Medical Questions using Scientific Literature

https://github.com/somsubhra04/aisome_2023

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Decoding Concerns: Multi-label Classification of Vaccine Sentiments in Social Media

https://github.com/sonalkum/compun

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Do Vision-Language Models Understand Compound Nouns?

https://github.com/sondrewold/adapters-mlm-injection

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The Effectiveness of Masked Language Modeling and Adapters for Factual Knowledge Injection

https://github.com/songlab-cal/gpn

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A Phylogenetic Approach to Genomic Language Modeling

https://github.com/songrise/Artist

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DiffArtist: Towards Structure and Appearance Controllable Image Stylization

https://github.com/sonnygeorge/oedd

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Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction

https://github.com/soojihan/Multitask4Veracity

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Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection

https://github.com/soskek/dynamic_neural_text_model

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A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse

https://github.com/sotopia-lab/sotopia-pi

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SOTOPIA-$π$: Interactive Learning of Socially Intelligent Language Agents

https://github.com/souradipp76/ReadMeReady

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Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach

https://github.com/spacemanidol/CurriculumLearningForLanguageModels

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Curriculum learning for language modeling

https://github.com/spark-damian/s-ui

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Leveraging Multimodal LLM for Inspirational User Interface Search

https://github.com/speech-lab-iitm/ccc-wav2vec-2.0

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CCC-wav2vec 2.0: Clustering aided Cross Contrastive Self-supervised learning of speech representations

https://github.com/speech-lab-iitm/data2vec-aqc

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data2vec-aqc: Search for the right Teaching Assistant in the Teacher-Student training setup

https://github.com/speechbrain/speechbrain

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SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation

https://github.com/sperfu/eyedoc

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A Role-specific Guided Large Language Model for Ophthalmic Consultation Based on Stylistic Differentiation

https://github.com/spfrommer/cse-ranking-manipulation

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Ranking Manipulation for Conversational Search Engines

https://github.com/spfrommer/ragdoll-data-pipeline

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Ranking Manipulation for Conversational Search Engines

https://github.com/spfrommer/ranking_manipulation

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Ranking Manipulation for Conversational Search Engines

https://github.com/spfrommer/ranking_manipulation_data_pipeline

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Ranking Manipulation for Conversational Search Engines

https://github.com/spinningbytes/deep-mlsa

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Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification

https://github.com/splend1d/t5lephone

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T5lephone: Bridging Speech and Text Self-supervised Models for Spoken Language Understanding via Phoneme level T5

https://github.com/spotify-research/llark

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LLark: A Multimodal Instruction-Following Language Model for Music

https://github.com/spotify-research/tot

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When the Music Stops: Tip-of-the-Tongue Retrieval for Music

https://github.com/sprocketlab/alchemist

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The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators

https://github.com/spursgozmy/table-llava

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Multimodal Table Understanding

https://github.com/squareslab/llmao

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Large Language Models for Test-Free Fault Localization

https://github.com/sreyan88/dale

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DALE: Generative Data Augmentation for Low-Resource Legal NLP

https://github.com/srhm-ca/pgn

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A City of Millions: Mapping Literary Social Networks At Scale

https://github.com/srhm-ca/tldm-benchmark

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Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels

https://github.com/srzer/Samplers-in-Online-DPO

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The Crucial Role of Samplers in Online Direct Preference Optimization

https://github.com/srzer/mod

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Decoding-Time Language Model Alignment with Multiple Objectives

https://github.com/ssecv/CoLA

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CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection

https://github.com/ssen7/histo_cap_transformers

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Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT

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