In-Context Principle Learning from Mistakes
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Learning to Learn Faster from Human Feedback with Language Model Predictive Cont
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Retrieval meets Long Context Large Language Models
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Memory Augmented Language Models through Mixture of Word Experts
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OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
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RLVF: Learning from Verbal Feedback without Overgeneralization
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牛逼！竟然用3天一口气学完强化学习【PPO、Q-learning、DQN、A3C】十大算法原理及实战玩转超级马里奥！通俗易懂，比啃书强太多了！机器学习|深度学习
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PALP: Prompt Aligned Personalization of Text-to-Image Models
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Kosmos-G: Generating Images in Context with Multimodal Large Language Models
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Amortizing intractable inference in large language models
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Visual In-Context Prompting
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基于语言模型的知识探测和推理方法
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In-Context Learning Creates Task Vectors
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GridFormer 表结构识别方法
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Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with
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基于生成式模拟的机器人技能学习方法
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Aligning Text-to-Image Diffusion Models with Reward Backpropagation
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Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirect
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UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations
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强推！终于等到李宏毅【机器学习+深度学习】完整版教程分享！从理论讲解到实战演练，全程干货讲解，真的太适合入门学习了！—人工智能_机器学习_深度学习_神经网络
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Context-Aware Meta-Learning
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CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion
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BitNet: Scaling 1-bit Transformers for Large Language Models
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Interactive Task Planning with Language Models
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RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augment
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Vision Mamba: Efficient Visual Representation Learning with Bidirectional State
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Farzi Data: Autoregressive Data Distillation
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TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
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How Do Large Language Models Capture the Ever-changing World Knowledge? A Review
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Controlled Decoding from Language Models
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解释性语言模型特征发现
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强推！【全150集】机器学习+强化学习+深度学习，一口气带你全部学完！真的太通俗易懂了！（人工智能、深度学习、神经网络、机器学习算法、计算机视觉）
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Contrastive Chain-of-Thought Prompting
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Llemma: An Open Language Model For Mathematics
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Consensus Complementarity Control for Multi-Contact MPC
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Toward Joint Language Modeling for Speech Units and Text
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人生苦短，我用深度强化学习零基础入门视频全套课程，PPO算法/DQN算法/A3C 保姆级教程（学完可就业）
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GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
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从模型预测控制到强化学习10：“直来直往-直接给策略推荐”的确策略梯度（PG）方法REINFORCE-A2C-原理与仿真
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Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
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Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning