Running on Zero 1 SIGMA-Gen Multi-Subject Composition 🎨 1 Compose multiple subjects into a scene with custom masks
Running on Zero 1 SIGMA-Gen Multi-Subject Composition 🎨 1 Compose multiple subjects into a scene with custom masks
Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models Paper • 2406.14599 • Published Jun 20, 2024 • 17
Towards Retrieval Augmented Generation over Large Video Libraries Paper • 2406.14938 • Published Jun 21, 2024 • 22
Complexity of Symbolic Representation in Working Memory of Transformer Correlates with the Complexity of a Task Paper • 2406.14213 • Published Jun 20, 2024 • 21
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges Paper • 2406.12624 • Published Jun 18, 2024 • 37
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs Paper • 2406.15319 • Published Jun 21, 2024 • 64
Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers Paper • 2406.16747 • Published Jun 24, 2024 • 19
WARP: On the Benefits of Weight Averaged Rewarded Policies Paper • 2406.16768 • Published Jun 24, 2024 • 23
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters Paper • 2406.16758 • Published Jun 24, 2024 • 20
Efficient Continual Pre-training by Mitigating the Stability Gap Paper • 2406.14833 • Published Jun 21, 2024 • 20
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models Paper • 2406.16338 • Published Jun 24, 2024 • 26