https://github.com/facebookresearch/sieve
공식 코드Sieve: Multimodal Dataset Pruning Using Image Captioning 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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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.
Sieve: Multimodal Dataset Pruning Using Image Captioning Models
SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations
SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
Addressing Some Limitations of Transformers with Feedback Memory
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Learning To Recognize Procedural Activities with Distant Supervision
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Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity
SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension
Universal Language Model Fine-tuning for Text Classification
A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks
FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression
PromptDet: Towards Open-vocabulary Detection using Uncurated Images
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.