2024/11/22

• Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
• OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
• UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages
• MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control

2024/11/21

• SageAttention2 Technical Report: Accurate 4 Bit Attention for Plug-and-play Inference Acceleration
• Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents
• When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
• 𝕍⁢𝕚⁢𝔹⁢𝕖: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models
• ORID: Organ-Regional Information Driven Framework for Radiology Report Generation

2024/11/20

• Continuous Speculative Decoding for Autoregressive Image Generation
• RedPajama: an Open Dataset for Training Large Language Models

2024/11/19

• Generative World Explorer
• Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
• Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering
• SmoothCache: A Universal Inference Acceleration Technique for Diffusion Transformers
• VeGaS: Video Gaussian Splatting