QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking
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An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Con
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Question Aware Vision Transformer for Multimodal Reasoning
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Transformers are Multi-State RNNs
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Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
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TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
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MindAgent: LLM Multi-Agents Collaboration Benchmark
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LEGO:Language Enhanced Multi-modal Grounding Model
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Kosmos-G: Generating Images in Context with Multimodal Large Language Models
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System 2 Attention (is something you might need too)
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Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition
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Visual In-Context Prompting
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Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to
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多模态基础模型研究综述
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GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
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PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
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FastDiT-3D：高效生成高质量三维点云的扩散变换器
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How FaR Are Large Language Models From Agents with Theory-of-Mind?
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稳定分数蒸馏：高质量三维生成新方法
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EvoPrompt: AI Prompt Optimizer
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CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
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VeRA: Vector-based Random Matrix Adaptation
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
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Wonder3D: Single Image to 3D using Cross-Domain Diffusion
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Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
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Language Models can be Logical Solvers
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Retrieval meets Long Context Large Language Models
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
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AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort
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基于潜在变量推断的训练链式思维提升语言模型推理能力
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Tied-Lora: Enhacing parameter efficiency of LoRA with weight tying
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FreeInit：弥合视频扩散模型初始化鸿沟以提升生成视频的时间一致性
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The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
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Aligning Text-to-Image Diffusion Models with Reward Backpropagation
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Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Mo
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多任务学习中数据不平衡问题的优化策略：预训练与联合微调
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SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optim
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综述：大模型的可解释性研究
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Specific versus General Principles for Constitutional AI
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一起来盘盘Paper QA工具哪家强
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Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling