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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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/sike-wang/low-bit-shampoo
공식 코드https://github.com/silent-zebra/twisted-smc-lm
공식 코드Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
https://github.com/sileod/language-model-recommendation
공식 코드https://github.com/sileod/llm-theory-of-mind
공식 코드MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic
https://github.com/sileod/tasksource
공식 코드tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and Evaluation
https://github.com/silin159/seknow
공식 코드End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management
https://github.com/simbianai/taskgen
공식 코드TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON
https://github.com/simengsun/alpaca_farm_lora
공식 코드https://github.com/simengsun/iga-an-intent-guided-authoring-assistant
공식 코드https://github.com/simplescaling/s1
공식 코드https://github.com/singularity0104/equilibrium-planner
공식 코드Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
https://github.com/sinovation/ZEN
공식 코드ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/sintel-dev/sigllm
공식 코드Large language models can be zero-shot anomaly detectors for time series?
https://github.com/sisl/astprompter
공식 코드https://github.com/siyan-sylvia-li/icarus_final
공식 코드When can I Speak? Predicting initiation points for spoken dialogue agents
https://github.com/siyan-sylvia-li/papillon
공식 코드PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
https://github.com/siyuyuan/get
공식 코드https://github.com/sjdai/llm-thematic-analysis
공식 코드LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
https://github.com/sjj1017/citekit
공식 코드Citekit: A Modular Toolkit for Large Language Model Citation Generation
https://github.com/sjkrol/gpt3musicalexplanationsdata
공식 코드https://github.com/sjmeis/DPNONDP
공식 코드https://github.com/sjmielke/spell-once
공식 코드Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model
https://github.com/sjtu-compling/mela
공식 코드https://github.com/sjtu-ipads/powerinfer
공식 코드PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
https://github.com/sjtu-lit/pem_composition
공식 코드Composing Parameter-Efficient Modules with Arithmetic Operations
https://github.com/sjtu-yc/idfree-personalized-learning
공식 코드Personalized Language Model Learning on Text Data Without User Identifiers
https://github.com/sjyyj/sjyyj
공식 코드RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
https://github.com/skangasl/continuous-lm-interpolation
공식 코드Continuous Language Model Interpolation for Dynamic and Controllable Text Generation
https://github.com/skeletondyh/gred
공식 코드Recurrent Distance Filtering for Graph Representation Learning
https://github.com/skgabriel/mh-eval
공식 코드Can AI Relate: Testing Large Language Model Response for Mental Health Support
https://github.com/skgabriel/mrf-modeling
공식 코드Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines
https://github.com/skit-ai/slu-prosody
공식 코드Improving End-to-End SLU performance with Prosodic Attention and Distillation
https://github.com/skjack/vlffd
공식 코드Towards General Visual-Linguistic Face Forgery Detection(V2)
https://github.com/sky-fish23/eike
공식 코드Embedding Ontologies via Incorporating Extensional and Intensional Knowledge
https://github.com/skydustz/aec-domain-corpora
공식 코드Pretrained Domain-Specific Language Model for General Information Retrieval Tasks in the AEC Domain
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.