Ziya2: Data-centric Learning is All LLMs Need
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ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation
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大规模语言模型的训练与优化研究
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FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
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TEQ: Trainable Equivalent Transformation for Quantization of LLMs
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TOFU: A Task of Fictitious Unlearning for LLMs
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In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs Miss
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KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
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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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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
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Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refine
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Farzi Data: Autoregressive Data Distillation
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixtu
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SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding
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大规模语言模型在多模态音乐理解与生成中的应用
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In-Context Principle Learning from Mistakes
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Physics-Informed Learning for Multiscale Systems
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An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Con
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
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Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to
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分布式注意力机制：长文本处理的高效LLM服务系统
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Context-Aware Meta-Learning
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Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
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In-Context Learning Creates Task Vectors
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LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
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【AI Drive】同源共流：一个优化框架统一与解释图神经网络
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Vision Mamba: Efficient Visual Representation Learning with Bidirectional State
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Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
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【AI Drive】Circle Loss：从对相似性优化的统一视角进行深度特征学习
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Adversarial Approaches to Bayesian Learning
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基于上下文调整的检索增强生成方法
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【资讯】安卓uzuy X-增加功能，提升性能/安卓yuzu优化
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稳定分数蒸馏：高质量三维生成新方法
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单张图像到3D的高效生成：基于分摊生成的3D高斯模型
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多模态基础模型研究综述
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FreeControl：实现任意文本到图像扩散模型的无训练空间控制
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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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ReFT: Reasoning with Reinforced Fine-Tuning
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大型语言模型在上下文学习中的可靠性提升：结合监督知识的方法
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【AI Drive】带批归一化和权重衰减的深度神经网络的优化过程中的球面运动