Notes on Android in the Wild: A Large-Scale Dataset for Android Device Control
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Notes on LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
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Notes on Text2Layer: Layered Image Generation using Latent Diffusion Model
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Notes on DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
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Notes on Towards A Unified Agent with Foundation Models
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Notes on FABRIC: Personalizing Diffusion Models with Iterative Feedback
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Notes on Challenges and Applications of Large Language Models
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Notes on On the Origin of LLMs: An Evolutionary Tree and Graph for 15,821 Large Language Models
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Notes on Instruction-following Evaluation through Verbalizer Manipulation
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Notes on SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
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Notes on FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
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Notes on Improving Multimodal Datasets with Image Captioning
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Notes on PASTA: Pretrained Action-State Transformer Agents
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Notes on The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
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Notes on Brain2Music: Reconstructing Music from Human Brain Activity
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Notes on Meta-Transformer: A Unified Framework for Multimodal Learning
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Notes on TokenFlow: Consistent Diffusion Features for Consistent Video Editing
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Notes on Language Conditioned Traffic Generation
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Notes on Does Visual Pretraining Help End-to-End Reasoning?
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Notes on Scale-Aware Modulation Meet Transformer
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Notes on INVE: Interactive Neural Video Editing
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Notes on CoTracker: It is Better to Track Together
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Notes on Planting a SEED of Vision in Large Language Model
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Notes on Diffusion Models Beat GANs on Image Classification
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Notes on AlpaGasus: Training A Better Alpaca with Fewer Data
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