Episodes (Page 11)
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Introduced BLIP3-o, a unified multimodal model for image understanding and generation.
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Introduced CodePDE, using LLMs to generate PDE solver code.
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Introduced CityAVOS, a benchmark dataset for UAV visual object search in urban areas.
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Investigated online learning for feedforward neural networks with sign activation.
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Introduced BAT, a benchmark for auto-bidding algorithms in online advertising.
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Highlighted Amazon's AI, ML, and robotics research.
Human Feedback Improvements
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Introduced T2I-R1 for text-to-image generation using RL and bi-level CoT.
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Proposes pretraining for estimating heterogeneous treatment effects (HTE).
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Introduces formula predicting LLM shifts to harmful content.
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Yo’Chameleon personalizes Large Multimodal Models (LMMs).
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Addresses reward hacking in LLM reasoning tasks with PRMs.
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AI integration in finance: benefits and risks for stability.
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Uses language models for automated patient record linkage.
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Surveys Parameter-Efficient Continual Fine-Tuning (PECFT).
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Building a code-editing agent requires LLM, loop, and tokens.
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Novel two-stage framework for lung tumor segmentation.
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Introduces Complex-Edit benchmark for image editing models.
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Pre-computes LLM inferences offline for faster query responses.
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Miras framework designs sequence models like associative memory.
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RUKA is an affordable, open-source humanoid robotic hand.