https://github.com/yui010206/sevila
공식 코드Self-Chained Image-Language Model for Video Localization and Question Answering
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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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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.
Self-Chained Image-Language Model for Video Localization and Question Answering
From Text to Pixel: Advancing Long-Context Understanding in MLLMs
Reasoning Graph Enhanced Exemplars Retrieval for In-Context Learning
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Distilling Monolingual and Crosslingual Word-in-Context Representations
FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications
Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models
Distantly-Supervised Joint Extraction with Noise-Robust Learning
Text Classification Using Label Names Only: A Language Model Self-Training Approach
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
Generating Query Focused Summaries from Query-Free Resources
LaunchpadGPT: Language Model as Music Visualization Designer on Launchpad
TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation
vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual Recognition
LMEye: An Interactive Perception Network for Large Language Models
A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues
Guiding Pretraining in Reinforcement Learning with Large Language Models
Language Model Training Paradigms for Clinical Feature Embeddings
COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery
BEYOND DIALOGUE: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model
Analysing The Impact of Sequence Composition on Language Model Pre-Training
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.