TiC-CLIP: Continual Training of CLIP Models
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The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
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Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
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TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
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Linear Transformers with Learnable Kernel Functions are Better In-Context Models
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本地安装Qwen2-VL 2B-Instruct 效果最好的视觉语言模型
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CLEX: Continuous Length Extrapolation for Large Language Models
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Moral Foundations of Large Language Models
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
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CLIP作为RNN：无需训练即可分割无数视觉概念
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Compressing Context to Enhance Inference Efficiency of Large Language Models
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Kosmos-G: Generating Images in Context with Multimodal Large Language Models
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
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VILA：探索视觉语言预训练的有效设计选择
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EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
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Offline Actor-Critic Reinforcement Learning Scales to Large Models
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FLAP: Fast Language-Audio Pre-training
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TrustLLM: Trustworthiness in Large Language Models
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Aligning Text-to-Image Diffusion Models with Reward Backpropagation
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BitNet: Scaling 1-bit Transformers for Large Language Models
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Can Large Language Models be Good Path Planners? A Benchmark and Investigation o
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ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network L
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AutoMix: Automatically Mixing Language Models
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多模态协同学习模型
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
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ADaPT: As-Needed Decomposition and Planning with Language Models
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Interactive Task Planning with Language Models
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Making Large Language Models Perform Better in Knowledge Graph Completion
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
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Orca 2: Teaching Small Language Models How to Reason
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System 2 Attention (is something you might need too)
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Secrets of RLHF in Large Language Models Part II: Reward Modeling
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Large Language Models Cannot Self-Correct Reasoning Yet
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稳定分数蒸馏：高质量三维生成新方法
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基于统一视觉语言模型的图像和视频混合学习
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Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-S
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Memory Augmented Language Models through Mixture of Word Experts
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FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
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Localizing and Editing Knowledge in Text-to-Image Generative Models
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Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock
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Densely Captioned Images: 评估视觉语言模型的新基准