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공식 코드Mind the Gap: Assessing Temporal Generalization in Neural Language Models
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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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
On the Cross-lingual Transferability of Monolingual Representations
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
DeepSeek-VL: Towards Real-World Vision-Language Understanding
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant
LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models
Newswire: A Large-Scale Structured Database of a Century of Historical News
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
Language-Based Augmentation to Address Shortcut Learning in Object Goal Navigation
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
Text-Guided Molecule Generation with Diffusion Language Model
Connections between Schedule-Free Optimizers, AdEMAMix, and Accelerated SGD Variants
Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation
Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision
Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision
AbGPT: De Novo Antibody Design via Generative Language Modeling
Automating the Correctness Assessment of AI-generated Code for Security Contexts
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
A Training Data Recipe to Accelerate A* Search with Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.