Collections
Discover the best community collections!
Collections including paper arxiv:2410.05258
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Differential Transformer
Paper • 2410.05258 • Published • 169 -
AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions
Paper • 2410.20424 • Published • 40 -
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization
Paper • 2412.17739 • Published • 39
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DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation
Paper • 2410.00201 • Published -
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
Paper • 2409.19804 • Published -
Rethinking Conventional Wisdom in Machine Learning: From Generalization to Scaling
Paper • 2409.15156 • Published -
Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken Dialogue
Paper • 2409.04927 • Published
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MinerU: An Open-Source Solution for Precise Document Content Extraction
Paper • 2409.18839 • Published • 27 -
FAN: Fourier Analysis Networks
Paper • 2410.02675 • Published • 25 -
Differential Transformer
Paper • 2410.05258 • Published • 169 -
UniMuMo: Unified Text, Music and Motion Generation
Paper • 2410.04534 • Published • 19
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Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection
Paper • 2409.08513 • Published • 12 -
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
Paper • 2409.08264 • Published • 44 -
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Paper • 2409.12191 • Published • 76 -
LLMs + Persona-Plug = Personalized LLMs
Paper • 2409.11901 • Published • 32
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Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Paper • 2408.15998 • Published • 85 -
General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Paper • 2409.01704 • Published • 83 -
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
Paper • 2408.06195 • Published • 69 -
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Paper • 2405.06682 • Published • 3