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[Paper] Structured Document Translation via Format Reinforcement Learning
Recent works on structured text translation remain limited to the sentence level, as they struggle to effectively handle the complex document-level XML or HTML ...
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[Paper] SA-IQA: Redefining Image Quality Assessment for Spatial Aesthetics with Multi-Dimensional Rewards
In recent years, Image Quality Assessment (IQA) for AI-generated images (AIGI) has advanced rapidly; however, existing methods primarily target portraits and ar...
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[Paper] Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction
Although diffusion models now occupy a central place in generative modeling, introductory treatments commonly assume Euclidean data and seldom clarify their con...
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[Paper] The Geometry of Intelligence: Deterministic Functional Topology as a Foundation for Real-World Perception
Real-world physical processes do not generate arbitrary variability: their signals concentrate on compact and low-variability subsets of functional space. This ...
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[Paper] David vs. Goliath: Can Small Models Win Big with Agentic AI in Hardware Design?
Large Language Model(LLM) inference demands massive compute and energy, making domain-specific tasks expensive and unsustainable. As foundation models keep scal...
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[Paper] Multi-LLM Collaboration for Medication Recommendation
As healthcare increasingly turns to AI for scalable and trustworthy clinical decision support, ensuring reliability in model reasoning remains a critical challe...
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[Paper] Meta-Learning for Quantum Optimization via Quantum Sequence Model
The Quantum Approximate Optimization Algorithm (QAOA) is a leading approach for solving combinatorial optimization problems on near-term quantum processors. How...
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[Paper] Arbitrage: Efficient Reasoning via Advantage-Aware Speculation
Modern Large Language Models achieve impressive reasoning capabilities with long Chain of Thoughts, but they incur substantial computational cost during inferen...
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Recent Breakthrough: 'Netflix Replay' AI Technology
Overview Imagine binge‑watching your favorite TV show and having an AI predict how much you’ll enjoy each upcoming episode based on your viewing history and pr...
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[Paper] Evolutionary Architecture Search through Grammar-Based Sequence Alignment
Neural architecture search (NAS) in expressive search spaces is a computationally hard problem, but it also holds the potential to automatically discover comple...
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The End of the Train-Test Split
Article URL: https://folio.benguzovsky.com/train-test Comments URL: https://news.ycombinator.com/item?id=46149740 Points: 7 Comments: 1...
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The Machine Learning “Advent Calendar” Day 4: k-Means in Excel
How to implement a training algorithm that finally looks like “real” machine learning The post The Machine Learning “Advent Calendar” Day 4: k-Means in Excel ap...