Adapting Large Language Models via Reading Comprehension
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2309.09530
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Published
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69
LLM
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An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 18 -
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 6 -
Streaming Dense Video Captioning
Paper • 2404.01297 • Published • 10 -
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order
Paper • 2404.00399 • Published • 39 -
MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens
Paper • 2404.03413 • Published • 21 -
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models
Paper • 2404.03118 • Published • 19 -
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
Paper • 2404.03411 • Published • 8 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 101 -
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
Paper • 2404.02905 • Published • 59 -
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
Paper • 2404.02733 • Published • 19 -
FlowMind: Automatic Workflow Generation with LLMs
Paper • 2404.13050 • Published • 32 -
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
Paper • 2404.13686 • Published • 26 -
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
Paper • 2404.14396 • Published • 17