· ai
[Paper] BalLOT: Balanced $k$-means clustering with optimal transport
We consider the fundamental problem of balanced k-means clustering. In particular, we introduce an optimal transport approach to alternating minimization called...
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[Paper] To Err Is Human: Systematic Quantification of Errors in Published AI Papers via LLM Analysis
How many mistakes do published AI papers contain? Peer-reviewed publications form the foundation upon which new research and knowledge are built. Errors that pe...
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[Paper] NICE: Neural Implicit Craniofacial Model for Orthognathic Surgery Prediction
Orthognathic surgery is a crucial intervention for correcting dentofacial skeletal deformities to enhance occlusal functionality and facial aesthetics. Accurate...
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[Paper] Natural Language Summarization Enables Multi-Repository Bug Localization by LLMs in Microservice Architectures
Bug localization in multi-repository microservice architectures is challenging due to the semantic gap between natural language bug reports and code, LLM contex...
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[Paper] EventQueues: Autodifferentiable spike event queues for brain simulation on AI accelerators
Spiking neural networks (SNNs), central to computational neuroscience and neuromorphic machine learning (ML), require efficient simulation and gradient-based tr...
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[Paper] Bootstrapping Fuzzers for Compilers of Low-Resource Language Dialects Using Language Models
Modern extensible compiler frameworks-such as MLIR-enable rapid creation of domain-specific language dialects. This flexibility, however, makes correctness hard...
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[Paper] Optimizing Medical Question-Answering Systems: A Comparative Study of Fine-Tuned and Zero-Shot Large Language Models with RAG Framework
Medical question-answering (QA) systems can benefit from advances in large language models (LLMs), but directly applying LLMs to the clinical domain poses chall...
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[Paper] Prompting Science Report 4: Playing Pretend: Expert Personas Don't Improve Factual Accuracy
This is the fourth in a series of short reports that help business, education, and policy leaders understand the technical details of working with AI through ri...
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[Paper] Wasserstein Evolution : Evolutionary Optimization as Phase Transition
This paper establishes a novel connection between evolutionary computation and statistical physics by formalizing evolutionary optimization as a phase transitio...
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[Paper] Vague Knowledge: Information without Transitivity and Partitions
I relax the standard assumptions of transitivity and partition structure in economic models of information to formalize vague knowledge: non-transitive indistin...
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[Paper] Heard or Halted? Gender, Interruptions, and Emotional Tone in U.S. Supreme Court Oral Arguments
This study examines how interruptions during U.S. Supreme Court oral arguments shape both the semantic content and emotional tone of advocates' speech, with a f...
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[Paper] Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding
Long video understanding (LVU) is challenging because answering real-world queries often depends on sparse, temporally dispersed cues buried in hours of mostly ...