Tootfinder

LLM Cache Bandit Revisited: Addressing Query Heterogeneity for Cost-Effective LLM Inference
Hantao Yang, Hong Xie, Defu Lian, Enhong Chen
https://arxiv.org/abs/2509.15515 https:…

LLM Cache Bandit Revisited: Addressing Query Heterogeneity for Cost-Effective LLM Inference
This paper revisits the LLM cache bandit problem, with a special focus on addressing the query heterogeneity for cost-effective LLM inference. Previous works often assume uniform query sizes. Heterogeneous query sizes introduce a combinatorial structure for cache selection, making the cache replacement process more computationally and statistically challenging. We treat optimal cache selection as a knapsack problem and employ an accumulation-based strategy to effectively balance computational o…

I'm on the "Don't Be Caught Dead" podcast hosted by Catherine Ashton - we talk found family, compassion at end of life, and - as always - why good advance planning eases grief for everyone.
Listen: https://criticalinfo.com.au/podcast/fo

Prompt Smart, Pay Less: Cost-Aware APO for Real-World Applications
Jayesh Choudhari, Piyush Kumar Singh, Douglas McIlwraith, Snehal Nair
https://arxiv.org/abs/2507.15884

Prompt Smart, Pay Less: Cost-Aware APO for Real-World Applications
Prompt design is a critical factor in the effectiveness of Large Language Models (LLMs), yet remains largely heuristic, manual, and difficult to scale. This paper presents the first comprehensive evaluation of Automatic Prompt Optimization (APO) methods for real-world, high-stakes multiclass classification in a commercial setting, addressing a critical gap in the existing literature where most of the APO frameworks have been validated only on benchmark classification tasks of limited complexity…

Strong, Accurate, and Low-Cost Robot Manipulator
Georges Chebly, Spencer Little, Nisal Perera, Aliya Abedeen, Ken Suzuki, Donghyun Kim
https://arxiv.org/abs/2507.15693

Strong, Accurate, and Low-Cost Robot Manipulator
This paper presents Forte, a fully 3D-printable, 6-DoF robotic arm designed to achieve near industrial-grade performance - 0.63 kg payload, 0.467 m reach, and sub-millimeter repeatability - at a material cost under $215. As an accessible robot for broad applications across classroom education to AI experiments, Forte pushes forward the performance limitations of existing low-cost educational arms. We introduce a cost-effective mechanical design that combines capstan-based cable drives, timing b…

Towards Cost-Effective ZK-Rollups: Modeling and Optimization of Proving Infrastructure
Mohsen Ahmadvand, Pedro Souto
https://arxiv.org/abs/2509.16581 https://

Towards Cost-Effective ZK-Rollups: Modeling and Optimization of Proving Infrastructure
Zero-knowledge rollups rely on provers to generate multi-step state transition proofs under strict finality and availability constraints. These steps require expensive hardware (e.g., GPUs), and finality is reached only once all stages complete and results are posted on-chain. As rollups scale, staying economically viable becomes increasingly difficult due to rising throughput, fast finality demands, volatile gas prices, and dynamic resource needs. We base our study on Halo2-based proving syste…

Improving VQE Parameter Quality on Noisy Quantum Processors with Cost-Effective Readout Error Mitigation
Nacer Eddine Belaloui, Abdellah Tounsi, Abdelmouheymen Rabah Khamadja, Hamza Benkadour, Mohamed Messaoud Louamri, Achour Benslama, Mohamed Taha Rouabah
https://arxiv.org/abs/2508.15072

Improving VQE Parameter Quality on Noisy Quantum Processors with Cost-Effective Readout Error Mitigation
The inherent noise in current Noisy Intermediate-Scale Quantum (NISQ) devices presents a major obstacle to the accurate implementation of quantum algorithms such as the Variational Quantum Eigensolver (VQE) for quantum chemistry applications. This study examines the impact of error mitigation strategies on VQE performance. We show that, for small molecular systems, an older-generation 5-qubit quantum processing unit (IBMQ Belem), when combined with optimized Twirled Readout Error Extinction (T-…

RadarGaussianDet3D: An Efficient and Effective Gaussian-based 3D Detector with 4D Automotive Radars
Weiyi Xiong, Bing Zhu, Tao Huang, Zewei Zheng
https://arxiv.org/abs/2509.16119

RadarGaussianDet3D: An Efficient and Effective Gaussian-based 3D Detector with 4D Automotive Radars
4D automotive radars have gained increasing attention for autonomous driving due to their low cost, robustness, and inherent velocity measurement capability. However, existing 4D radar-based 3D detectors rely heavily on pillar encoders for BEV feature extraction, where each point contributes to only a single BEV grid, resulting in sparse feature maps and degraded representation quality. In addition, they also optimize bounding box attributes independently, leading to sub-optimal detection accur…

RDMA: Cost Effective Agent-Driven Rare Disease Discovery within Electronic Health Record Systems
John Wu, Adam Cross, Jimeng Sun
https://arxiv.org/abs/2507.15867

RDMA: Cost Effective Agent-Driven Rare Disease Discovery within Electronic Health Record Systems
Rare diseases affect 1 in 10 Americans, yet standard ICD coding systems fail to capture these conditions in electronic health records (EHR), leaving crucial information buried in clinical notes. Current approaches struggle with medical abbreviations, miss implicit disease mentions, raise privacy concerns with cloud processing, and lack clinical reasoning abilities. We present Rare Disease Mining Agents (RDMA), a framework that mirrors how medical experts identify rare disease patterns in EHR. R…

The Reverse File System: Towards open cost-effective secure WORM storage devices for logging
Gorka Guardiola M\'uzquiz, Juan Gonz\'alez-G\'omez, Enrique Soriano-Salvador
https://arxiv.org/abs/2509.17969

The Reverse File System: Towards open cost-effective secure WORM storage devices for logging
Write Once Read Many (WORM) properties for storage devices are desirable to ensure data immutability for applications such as secure logging, regulatory compliance, archival storage, and other types of backup systems. WORM devices guarantee that data, once written, cannot be altered or deleted. However, implementing secure and compatible WORM storage remains a challenge. Traditional solutions often rely on specialized hardware, which is either costly, closed, or inaccessible to the general publ…

Quantum Differential Equation Solvers with Low State Preparation Cost: Eliminating the Time Dependence in Dissipative Equations
Gengzhi Yang, Akwum Onwunta, Dong An
https://arxiv.org/abs/2508.15170

Quantum Differential Equation Solvers with Low State Preparation Cost: Eliminating the Time Dependence in Dissipative Equations
Linear dissipative differential equation is a fundamental model for a large number of physical systems, such as quantum dynamics with non-Hermitian Hamiltonian, open quantum system dynamics, diffusion process and damped system. In this work, we propose efficient quantum algorithms for simulating linear dissipative differential equations. The key idea of our algorithms is to perform the simulation only over an effective time period when the dynamics has not significantly dissipated yet, rather t…