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Showing 182110 results for "program development"
AI & Data Science Preprint PDF DOI

LLM-Guided Strategy Synthesis for Scalable Equality Saturation

Chenyun Yin, Youwei Xiao, Yuze Luo, Yuyang Zou, Yun Liang ยท 2026

Equality saturation (EqSat) is a powerful optimization paradigm that compactly represents many equivalent programs in an e-graph and delays commitment until extraction selects a lowest-cost program. Mโ€ฆ

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AI & Data Science Preprint PDF DOI

Robust Diabetic Retinopathy Grading Using Dual-Resolution Attention-Based Deep Learning with Ordinal Regression

Afshan Hashmi ยท 2026

Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide, and automated grading systems play a crucial role in large-scale screening programs. However, deep learning models often exโ€ฆ

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Computer Science Preprint PDF DOI

Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?

Wang Bill Zhu, Miaosen Chai, Shangshang Wang, Yejia Liu, Song Bian, Honghua Dong, Willie Neiswanger, Robin Jia ยท 2026

Unlike code completion, debugging requires localizing faults and applying targeted edits. We observe that frontier LLMs often regenerate correct but over-edited solutions during debugging. To evaluateโ€ฆ

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Physics Preprint PDF DOI

Unified adiabatic and diabatic excited-state description via the ensemble-variational quantum eigensolver

Christophe Soule, Bruno Senjean, Benjamin Lasorne ยท 2026

Within the present noisy intermediate-scale quantum-computing era, hybrid quantum-classical-processor algorithms have emerged as promising avenues for tackling electronic-structure eigenproblems. Amonโ€ฆ

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AI & Data Science Preprint PDF DOI

LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics

Yueyang Ding, HaoPeng Zhang, Rui Dai, Yi Wang, Tianyu Zong, Kaikui Liu, Xiangxiang Chu ยท 2026

Comprehensive understanding of time series remains a significant challenge for Large Language Models (LLMs). Current research is hindered by fragmented task definitions and benchmarks with inherent amโ€ฆ

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AI & Data Science Preprint PDF DOI

Probabilistic Programs of Thought

Poorva Garg, Renato Lui Geh, Daniel Israel, Todd Millstein, Kyle Richardson, Guy Van den Broeck ยท 2026

LLMs are widely used for code generation and mathematical reasoning tasks where they are required to generate structured output. They either need to reason about code, generate code for a given specifโ€ฆ

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Computer Science Preprint PDF DOI

Clover: A Neural-Symbolic Agentic Harness with Stochastic Tree-of-Thoughts for Verified RTL Repair

Zizhang Luo, Yansong Xu, Runlin Guo, Fan Cui, Kexing Zhou, Mile Xia, Hongyuan Hou, Yuhao Luo, Yun Liang ยท 2026

RTL program repair remains a critical bottleneck in hardware design and verification. Traditional automatic program repair (APR) methods rely on predefined templates and synthesis, limiting their bug โ€ฆ

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AI & Data Science Preprint PDF DOI

PestVL-Net: Enabling Multimodal Pest Learning via Fine-grained Vision-Language Interaction

Xueheng Li, Tao Hu, Ke Cao, Runsheng Qi, Huixin Zhang, Rui Li, Jie Zhang, Chengjun Xie ยท 2026

Effective pest recognition and management are crucial for sustainable agricultural development. However, collecting pest data in real scenarios is often challenging. Compared to other domains, pests eโ€ฆ

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AI & Data Science Preprint PDF DOI

The Continuity Layer: Why Intelligence Needs an Architecture for What It Carries Forward

Samuel Sameer Tanguturi ยท 2026

The most important architectural problem in AI is not the size of the model but the absence of a layer that carries forward what the model has come to understand. Sessions end. Context windows fill. Mโ€ฆ

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Computer Science Preprint PDF DOI

&inator: Correct, Precise C-to-Rust Interface Translation

Victor Chen, Ayden Coughlin, Michael D. Bond ยท 2026

Automatically translating system software from C to Rust is an appealing but challenging problem, as it requires whole-program reasoning to satisfy Rust's ownership and borrowing discipline. A key enaโ€ฆ

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AI & Data Science Preprint PDF DOI

Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents

Hanlin Wang, Chak Tou Leong, Jian Wang, Wenjie Li ยท 2026

Recent advancements in large language models (LLMs) have enabled agents to tackle complex embodied tasks through environmental interaction. However, these agents still make suboptimal decisions and peโ€ฆ

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AI & Data Science Preprint PDF DOI

Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation

Pegah Golchian, Pauline Maier, Thomas Kocar, Marvin N. Wright ยท 2026

Data scarcity challenges the development and implementation of innovative healthcare solutions. In geriatrics, fall-related injuries are a major cause of hospitalization, functional decline, and mortaโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Massive-scale unlabeled field and labeled synthetic seismic datasets of global shelf-edge clinothems

Hui Gao, Xinming Wu, Jintao Li, Xiaoming Sun, Jiarun Yang ยท 2026

Seismic stratigraphic interpretation of shelf-edge clinothems is essential for revealing tectonic evolution, paleoclimate change, depositional dynamic conditions, and hydrocarbon generation and accumuโ€ฆ

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Computer Science Preprint PDF DOI

From Language to Action: Enhancing LLM Task Efficiency with Task-Aware MCP Server Recommendation

Shiyu He, Zhiman Chen, Yuqi Zhao, Neng Zhang, Ran Mo, Yutao Ma ยท 2026

The rapid expansion of the model context protocol (MCP) ecosystem enables large language model (LLM)-based agents to access a wide range of external tools via a standardized interface. However, identiโ€ฆ

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Computer Science Preprint PDF DOI

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda

Minxian Xu, Jingfeng Wu, Shengye Song, Satish Narayana Srirama, Bahman Javad, Rajiv Ranjan, Devki Nandan Jha, Sa Wang, Wenhong Tian, Huanle Xu, Li Li, Zizhao Mo, Shuo Ren, Thomas Kunz, Petar Kochovski, Vlado Stankovski, Kejiang Ye, Chengzhong Xu, Rajkumar Buyya ยท 2026

The rapid rise of Large Language Models (LLMs) has revolutionized various artificial intelligence (AI) applications, from natural language processing to code generation. However, the computational demโ€ฆ

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Neuroscience Preprint PDF DOI

NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence

Anthony Zador, Jean-Marc Fellous, Terrence Sejnowski, Gina Adam, James B Aimone, Akwasi Akwaboah, Yiannis Aloimonos, Carmen Amo Alonso, Chiara Bartolozzi, Michael J. Bennington, Michael Berry, Bing W. Brunton, Gert Cauwenberghs, Hillel J. Chiel, Tobi Delbruck, John Doyle, Jason Eshraghian, Ralph Etienne-Cummings, Cornelia Fermuller, Matthew Jacobsen, Ali A. Minai, Barbara Oakley, Alexander G. Ororbia II, Joe Paton, Blake Richards, Yulia Sandamirskaya, Abhronil Sengupta, Shihab Shamma, Michael P. Stryker, Seong Jong Yoo, Steven W. Zucker ยท 2026

Neuroscience and Artificial Intelligence (AI) have made impressive progress in recent years but remain only loosely interconnected. Based on a workshop convened by the National Science Foundation in Aโ€ฆ

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Computer Science Preprint PDF DOI

Persona-Based Requirements Engineering for Explainable Multi-Agent Educational Systems: A Scenario Simulator for Clinical Reasoning Training

Weibing Zheng, Laurah Turner, Jess Kropczynski, Matthew Kelleher, Murat Ozer, Shane Halse ยท 2026

As Artificial Intelligence (AI) and Agentic AI become increasingly integrated across sectors such as education and healthcare, it is critical to ensure that Multi-Agent Education System (MAES) is explโ€ฆ

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Engineering Preprint PDF DOI

On the Unification of Optimal Current Reference Theory for Wound Rotor Synchronous Machines

Maxfield Parson-Scherban, Kasra Fallah, Navid Rahbariasr, Bernard Steyaert, James Anderson, Matthias Preindl ยท 2026

Controllers for motor drives typically require a current reference which will satisfy the requested torque subject to system constraints. This work generalizes existing current reference theory to theโ€ฆ

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Computer Science Preprint PDF DOI

Lightweight Cybersickness Detection based on User-Specific Eye and Head Tracking Data in Virtual Reality

Yijun Wang, Mihai Bace, Maria Torres Vega ยท 2026

The occurrence of cybersickness in virtual reality (VR) significantly impairs users' perception and sense of immersion. Therefore, timely detection of cybersickness and the application of appropriate โ€ฆ

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AI & Data Science Preprint PDF DOI

If Only My CGM Could Speak: A Privacy-Preserving Agent for Question Answering over Continuous Glucose Data

Yanjun Cui, Ali Emami, Temiloluwa Prioleau, Nikhil Singh ยท 2026

Continuous glucose monitors (CGMs) used in diabetes care collect rich personal health data that could improve day-to-day self-management. However, current patient platforms only offer static summariesโ€ฆ

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