TrustLLM: Trustworthiness in Large Language Models
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LayoutPrompter: Awaken the Design Ability of Large Language Models
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Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language M
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Language Models can be Logical Solvers
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Simple and Scalable Strategies to Continually Pre-train Large Language Models
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RLHF-V: 通过细粒度纠正性人工反馈实现值得信赖的多模态大型语言模型
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Tuna: Instruction Tuning using Feedback from Large Language Models
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FLAP: Fast Language-Audio Pre-training
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Orca 2: Teaching Small Language Models How to Reason
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Secrets of RLHF in Large Language Models Part II: Reward Modeling
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SOTOPIA-$π$: Interactive Learning of Socially Intelligent Language Agents
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Asynchronous Local-SGD Training for Language Modeling
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综述：大模型的可解释性研究
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大型语言模型潜在知识发现的挑战
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FlashDecoding++: Faster Large Language Model Inference on GPUs
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语言模型对齐新方法：基于对比不似然训练的判断反馈
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GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
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BitNet: Scaling 1-bit Transformers for Large Language Models
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大型语言模型 (LLMs) 在应对需要任务规划和使用外部工具的任务时表现出了熟练的能力
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Compressing Context to Enhance Inference Efficiency of Large Language Models
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PALP: Prompt Aligned Personalization of Text-to-Image Models
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Creative Robot Tool Use with Large Language Models
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大型语言模型：从训练到推理的全面综述
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EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
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SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding
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闪电注意力-2：大型语言模型处理无限序列长度的高效方法
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The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
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Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
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TextGenSHAP：面向长文本的可扩展生成解释方法
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GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Spla
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Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
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多模态基础模型研究综述
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Retrieval meets Long Context Large Language Models
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大型语言模型效率研究综述
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Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
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思想设计：破解复杂问题的关键
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重新定义LLM量化：一种面向生成任务的全新FP6中心策略
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Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
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基于上下文调整的检索增强生成方法
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Learning to Learn Faster from Human Feedback with Language Model Predictive Cont