In-Context Learning Creates Task Vectors
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Visual In-Context Prompting
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OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
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Retrieval meets Long Context Large Language Models
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GridFormer 表结构识别方法
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PALP: Prompt Aligned Personalization of Text-to-Image Models
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Localizing and Editing Knowledge in Text-to-Image Generative Models
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Context-Aware Meta-Learning
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Kosmos-G: Generating Images in Context with Multimodal Large Language Models
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Interactive Task Planning with Language Models
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图像到视频迁移学习中空间和时间学习的解耦
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Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with
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Aligning Text-to-Image Diffusion Models with Reward Backpropagation
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ConvNets Match Vision Transformers at Scale
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DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagat
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Learning to Learn Faster from Human Feedback with Language Model Predictive Cont
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RLVF: Learning from Verbal Feedback without Overgeneralization
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CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion
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Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
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Memory Consolidation Enables Long-Context Video Understanding
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Farzi Data: Autoregressive Data Distillation
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Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirect
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Compressing Context to Enhance Inference Efficiency of Large Language Models
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Toward Joint Language Modeling for Speech Units and Text
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An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Con
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Contrastive Prefence Learning: Learning from Human Feedback without RL
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Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression
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基于语言模型的知识探测和推理方法
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TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
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Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
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生成高质量的长视频：SEINE视频扩散模型
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图像生成美学优化方法研究
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In-Context Principle Learning from Mistakes
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Amortizing intractable inference in large language models
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Vision Mamba: Efficient Visual Representation Learning with Bidirectional State
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Offline Actor-Critic Reinforcement Learning Scales to Large Models
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SOTOPIA-$π$: Interactive Learning of Socially Intelligent Language Agents
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基于GPT-4V的视频理解系统MM-VID
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弱到强泛化：用弱监督激发强大模型的潜力
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Making Large Language Models Perform Better in Knowledge Graph Completion