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🏢 University of Cambridge

Learning from Failures in Multi-Attempt Reinforcement Learning
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AI Generated 🤗 Daily Papers Machine Learning Reinforcement Learning 🏢 University of Cambridge
Multi-attempt RL refines LLMs, significantly boosting accuracy on math tasks by enabling them to learn from failures through user feedback.
ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models
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AI Generated 🤗 Daily Papers Multimodal Learning Vision-Language Models 🏢 University of Cambridge
ZeroBench: a new visual reasoning benchmark, proves impossible for current large multimodal models, pushing the boundaries of AI visual understanding.
Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation
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AI Generated 🤗 Daily Papers Computer Vision 3D Vision 🏢 University of Cambridge
Chirpy3D: Generating creative, high-quality 3D birds with intricate details by learning a continuous part latent space from 2D images.
FAM Diffusion: Frequency and Attention Modulation for High-Resolution Image Generation with Stable Diffusion
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AI Generated 🤗 Daily Papers Computer Vision Image Generation 🏢 University of Cambridge
FAM Diffusion: Generate high-res images seamlessly from pre-trained diffusion models, solving structural and texture inconsistencies without retraining!
Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks?
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AI Generated 🤗 Daily Papers Natural Language Processing Large Language Models 🏢 University of Cambridge
Can LLMs effectively handle information spread across vast, almost million-scale datasets? This research investigates this question by evaluating 17 LLMs on novel ‘needle threading’ tasks. These task…