https://github.com/snumprlab/SRT
공식 코드ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO
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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 They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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.
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO
Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection
PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models
Correcting misinformation on social media with a large language model
Training on the Test Task Confounds Evaluation and Emergence
Test-Time Training on Nearest Neighbors for Large Language Models
Pretrained Language Models are Symbolic Mathematics Solvers too!
Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial Terms
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Replication Study
Decoding Concerns: Multi-label Classification of Vaccine Sentiments in Social Media
The Effectiveness of Masked Language Modeling and Adapters for Factual Knowledge Injection
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
DiffArtist: Towards Structure and Appearance Controllable Image Stylization
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection
Cross-domain Retrieval in the Legal and Patent Domains: a Reproducibility Study
SOTOPIA-$π$: Interactive Learning of Socially Intelligent Language Agents
Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach
Leveraging Multimodal LLM for Inspirational User Interface Search
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
Data Movement Is All You Need: A Case Study on Optimizing Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.