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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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/opengvlab/diffagent
공식 코드DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model
https://github.com/opengvlab/instruct2act
공식 코드Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model
https://github.com/opengvlab/internchat
공식 코드InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
https://github.com/opengvlab/interngpt
공식 코드InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
https://github.com/opengvlab/internvl
공식 코드InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
https://github.com/opengvlab/llama-adapter
공식 코드LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
https://github.com/opengvlab/vinci
공식 코드Vinci: A Real-time Embodied Smart Assistant based on Egocentric Vision-Language Model
https://github.com/opengvlab/visionllm
공식 코드VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
https://github.com/opening-up-chatgpt/opening-up-chatgpt.github.io
공식 코드https://github.com/openlmlab/longwanjuan
공식 코드LongWanjuan: Towards Systematic Measurement for Long Text Quality
https://github.com/openmatch/coco-dr
공식 코드https://github.com/openmatch/gist-coco
공식 코드Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression
https://github.com/openmatch/marvel
공식 코드MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
https://github.com/openmatch/neuscraper
공식 코드Cleaner Pretraining Corpus Curation with Neural Web Scraping
https://github.com/openmatch/openmatch
공식 코드Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data
https://github.com/openmeshlab/meshxl
공식 코드MeshXL: Neural Coordinate Field for Generative 3D Foundation Models
https://github.com/openmoss/language-model-saes
공식 코드Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders
https://github.com/openmotionlab/motiongpt
공식 코드https://github.com/opennlplab/etsc-exact-toeplitz-to-ssm-conversion
공식 코드Accelerating Toeplitz Neural Network with Constant-time Inference Complexity
https://github.com/opennlplab/favdbench
공식 코드https://github.com/opennlplab/hgrn2
공식 코드https://github.com/opennlplab/transnormer
공식 코드https://github.com/opennlplab/transnormerllm
공식 코드TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer
https://github.com/openpsi-project/realhf
공식 코드ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation
https://github.com/openroad-assistant/eda-corpus
공식 코드EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD
https://github.com/openrobotlab/grutopia
공식 코드https://github.com/openrobotlab/unihsi
공식 코드Unified Human-Scene Interaction via Prompted Chain-of-Contacts
https://github.com/optima-cityu/llm4ad
공식 코드LLM4AD: A Platform for Algorithm Design with Large Language Model
https://github.com/optimalscale/lmflow
공식 코드LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
https://github.com/orailix/pact
공식 코드PACT: Pruning and Clustering-Based Token Reduction for Faster Visual Language Models
https://github.com/orange-city/ll_gen_dd
공식 코드Boosting Disfluency Detection with Large Language Model as Disfluency Generator
https://github.com/orange-opensource/wikifactdiff
공식 코드https://github.com/orange0629/prompting
공식 코드SPRIG: Improving Large Language Model Performance by System Prompt Optimization
https://github.com/orenneumann/alphazero_zipfs_law
공식 코드AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws
https://github.com/oreozhao/tea
공식 코드From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.