Language Modelling
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A language model is a model of natural language. Language models are useful for a variety of tasks, including speech recognition, machine translation, natural language generation (generating more human-like text), optical character recognition, route optimization, handwriting recognition, grammar induction, and information retrieval.
Large language models (LLMs), currently their most advanced form, are predominantly based on transformers trained on larger datasets (frequently using words scraped from the public internet). They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.
Source: Wikipedia
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/imnearth/coat
공식 코드https://github.com/imrecommender/chatgpt-news
공식 코드A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News
https://github.com/ina-foss/is24_news_topic
공식 코드https://github.com/inathwor/Preempting-Text-Sanitization
공식 코드Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions
https://github.com/index-tts/index-tts
공식 코드IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
https://github.com/indicodatasolutions/doc2dict
공식 코드https://github.com/indolem/indobertweet
공식 코드https://github.com/informagi/embert
공식 코드https://github.com/informalsystems/fuzzmo_use_case2
공식 코드Accessible Smart Contracts Verification: Synthesizing Formal Models with Tamed LLMs
https://github.com/infzhou/sam-pd
공식 코드SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt Denoising
https://github.com/inhwanbae/lmtrajectory
공식 코드Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction
https://github.com/inigo-jauregi/t3l
공식 코드T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification
https://github.com/inimah/metric-preference-checklist
공식 코드NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
https://github.com/ink-usc/link
공식 코드https://github.com/ink-usc/predicting-big-bench
공식 코드How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
https://github.com/innaprop/innaprop
공식 코드A second-order-like optimizer with adaptive gradient scaling for deep learning
https://github.com/intanq/indonesian-financial-domain-lm
공식 코드Domain-Specific Language Model Post-Training for Indonesian Financial NLP
https://github.com/intel/intel-extension-for-transformers
공식 코드https://github.com/intel/neural-compressor
공식 코드https://github.com/intellabs/fp8-emulation-toolkit
공식 코드https://github.com/intellabs/mmpano
공식 코드L-MAGIC: Language Model Assisted Generation of Images with Coherence
https://github.com/intellabs/multimodal_cognitive_ai
공식 코드NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation
https://github.com/intellabs/neurocounterfactuals
공식 코드NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
https://github.com/intelligolabs/Le-RNR-Map
공식 코드Language-enhanced RNR-Map: Querying Renderable Neural Radiance Field maps with natural language
https://github.com/intellisensing/rs-agent
공식 코드RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
https://github.com/internlm/acmetrace
공식 코드Characterization of Large Language Model Development in the Datacenter
https://github.com/internlm/huixiangdou
공식 코드https://github.com/internlm/internlm-law
공식 코드InternLM-Law: An Open Source Chinese Legal Large Language Model
https://github.com/internlm/internlm-xcomposer
공식 코드https://github.com/internlm/lmdeploy
공식 코드AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
https://github.com/interpretml/llm-tabular-memorization-checker
공식 코드Elephants Never Forget: Testing Language Models for Memorization of Tabular Data
https://github.com/intersun/CoDIR
공식 코드Contrastive Distillation on Intermediate Representations for Language Model Compression
https://github.com/intmegroup/uniprocessor
공식 코드UniProcessor: A Text-induced Unified Low-level Image Processor
https://github.com/intuit/wmlm
공식 코드Unsupervised Improvement of Factual Knowledge in Language Models
https://github.com/invictus717/MiCo
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.