SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe 2024-10-11 Intriguing Properties of Large Language and Vision Models 2024-10-11 Progressive Autoregressive Video Diffusion Models 2024-10-11 Towards Self-Improvement of LLMs via MCTS: Leveraging Stepwise Knowledge with Curriculum Preference Learning 2024-10-11 Emergent properties with repeated examples 2024-10-11 Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality 2024-10-11 GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models 2024-10-11 Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates 2024-10-11 Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations 2024-10-11 Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System 2024-10-11 WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents 2024-10-11 DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation 2024-10-11 Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition 2024-10-11 LPZero: Language Model Zero-cost Proxy Search from Zero 2024-10-11 MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting 2024-10-11 Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models 2024-10-11 Vector-ICL: In-context Learning with Continuous Vector Representations 2024-10-11 Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs 2024-10-11 GLEE: A Unified Framework and Benchmark for Language-based Economic Environments 2024-10-10 Personalized Visual Instruction Tuning 2024-10-10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49
