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🔍 aaron dotter 📂 Computer Science
Showing 23450 results for "aaron dotter" in Computer Science
Computer Science Preprint PDF DOI

To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems

Shreya Chappidi, Jatinder Singh · 2026

Responsible AI research typically focuses on examining the use and impacts of deployed AI systems. Yet, there is currently limited visibility into the pre-deployment decisions to pursue building such …

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Computer Science Preprint PDF DOI

CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments

Kangyu Yuan, Guanzheng Chen, Sizhe Liang, Hehai Lin, Qingyu Guo, Dingdong Liu, Xiaojuan Ma, Zhenhui Peng · 2026

Critical news reading (CNR), which requires grasping the holistic ideas of and raising critical thoughts on the news, is beneficial yet challenging for general people who usually get information on da…

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Computer Science Preprint PDF DOI

Can We Volunteer Out of the Peer Review Crisis?

Theo Tang, Toby Handfield, Julian Garcia · 2026

The volume of scientific manuscripts is growing faster than the capacity to evaluate them, yet the institutions that govern peer review have remained largely unchanged. The result is a widening mismat…

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Computer Science Preprint PDF DOI

Multifaceted Hero Developers and Bug-Fixing Outcomes Across Severity

Amit Kumar, Mahen Gandhi, Meher Bhardwaj, Hrishikesh Ethari, Sonali Agarwal · 2026

Open-source projects often rely on a small group of highly active contributors known as hero developers. Prior work shows that hero developers are common in many OSS and enterprise projects, yet who q…

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Computer Science Preprint PDF DOI

Users' Activity Logs: the Good, the Bad, the Misconception, and the Disastrous

Eman Alashwali · 2026

Most service providers, such as Google, save logs from data generated by users while using the service. Many service providers provide users with privacy controls to manage whether, how, and for how l…

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Computer Science Preprint PDF DOI

Back to the Future: Rethinking Endorsement in Order-Execute Blockchains

Rongji Huang, Yifeng Ye, Gerui Wang, Mingchao Wan, Yuxing Duan, Jingjing Zhang, Guangtao Xue, Shengyun Liu · 2026

Due to regulatory compliance and governance management, modern (permissioned) blockchains require flexible endorsement, which allows the endorsement policy for each contract or state object to be indi…

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Computer Science Preprint PDF DOI

Tail-aware N-version Machine Learning Models for Reliable API Recommendation

Aoi Matsuda, Fumio Machida, David Lo · 2026

Machine learning (ML)-based API recommendation helps developers efficiently identify suitable APIs to complement the application code. However, code datasets used to train ML models often exhibit a lo…

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Computer Science Preprint PDF DOI

BAss: Symbolic Reasoning in Abstract Dialectical Frameworks

Samuel Pastva, Van-Giang Trinh · 2026

We present BAss (BDD-based ADF symbolic solver), a novel analysis tool for Abstract Dialectical Frameworks (ADFs) based on Binary Decision Diagrams (BDDs). It supports the fully symbolic computation o…

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Computer Science Preprint PDF DOI

A Reproducibility Study of LLM-Based Query Reformulation

Amin Bigdeli, Radin Hamidi Rad, Hai Son Le, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke, Ebrahim Bagheri · 2026

Large Language Models (LLMs) are now widely used for query reformulation and expansion in Information Retrieval, with many studies reporting substantial effectiveness gains. However, these results are…

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Computer Science Preprint PDF DOI

Truthful-in-Expectation Mechanisms for MMS Approximation

Moshe Babaioff, Uriel Feige, Noam Manaker Morag · 2026

We study fair allocation of indivisible goods among strategic agents with additive valuations. Motivated by impossibility results for deterministic truthful mechanisms, we focus on randomized mechanis…

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Computer Science Preprint PDF DOI

What Influences Readers' and Writers' Perceived Necessity of AI Disclosure?

Jingchao Fang, Victoria Xiaohan Wen, Mina Lee · 2026

The growing capability of artificial intelligence (AI) leads to its increasing adoption in writing, spurring discussions around whether writers should disclose their AI use in writing. What influences…

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Computer Science Preprint PDF DOI

A Test Taxonomy and Continuous Integration Ecosystem for Dynamic Resource Management in HPC

Petter Sand{aa}s, Inigo Arejula-Aisa, Sergio Iserte, Antonio J. Pena · 2026

High-performance computing (HPC) systems are increasingly exploring dynamic resource management and malleable MPI applications to better adapt to heterogeneous architectures, fluctuating workloads, an…

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Computer Science Preprint PDF DOI

An Effective Orchestral Approach to Satisfiability Modulo Prime Fields

Miguel Isabel, Enric Rodriguez-Carbonell, Clara Rodriguez-Nunez, Albert Rubio · 2026

Zero-knowledge proofs (ZKPs) are an emerging technology that has become the solution to efficiently provide security and privacy along with the transparency requirement of blockchains. ZKPs are usuall…

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Computer Science Preprint PDF DOI

A Toolkit for Detecting Spurious Correlations in Speech Datasets

Lara Gauder, Pablo Riera, Andrea Slachevsky, Gonzalo Forno, Adolfo M. Garcia, Luciana Ferrer · 2026

We introduce a toolkit for uncovering spurious correlations between recording characteristics and target class in speech datasets. Spurious correlations may arise due to heterogeneous recording condit…

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Computer Science Preprint PDF DOI

Will It Break in Production? Metric-Driven Prediction of Residual Defects in Python Systems

Giuseppe De Rosa, Pietro Liguori · 2026

Python's dynamic nature complicates testing and increases the possibility that some defects evade detection, so an effective fault prediction becomes essential. We examine whether post-release faults …

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Computer Science Preprint PDF DOI

Breaking Bad Financial Habits: How LLM Conversations Correct Financial Misconceptions

Jillian Ross, Eric So, Andrew W. Lo · 2026

Financial misconceptions carry direct economic costs, from panic selling to equity market avoidance, yet they are notoriously resistant to correction. Traditional financial literacy interventions are …

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Computer Science Preprint PDF DOI

Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators

Hyunsung Yoon, Sungju Ryu, Jae-Joon Kim · 2026

As the size of Deep Neural Networks (DNNs) increases dramatically to achieve high accuracy, the DNNs require a large amount of computations and memory footprint. Pruning, which produces a sparse neura…

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Computer Science Preprint PDF DOI

An Empirical Study of Speculative Decoding on Software Engineering Tasks

Yijia Li, Junkai Chen, Xing Hu, Xin Xia · 2026

Large Language Models (LLMs) have become widely used for Software Engineering (SE) tasks, spanning from function-level code generation to complex repository-level workflows. However, the high latency …

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Computer Science Preprint PDF DOI

Quantifying the Cost of Manual Navigation: A Comparison of Gesture-Based Magnification versus Direct Access Reading in Digital Layout-based Documents

Sebastian Gallardo (BIOVISION, DAJ), Hui-Yin Wu (BIOVISION), Dorian Mazauric (ABSLab (Poitiers), Terra Numerica), Pierre Kornprobst (UniCA, BIOVISION, ABSLab (Poitiers)), Monica Di Meo (CHU), Stephanie Baillif (CHU), Aurelie Calabrese (AMU, LPC) · 2026

Understanding how diverse audiences engage with structured media is critical to ensure a consistent quality of experience. In this context, we quantify the behavioral and performance cost of manual na…

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Computer Science Preprint PDF DOI

Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations

Peter Mullner, Dominik Kowald, Markus Schedl, Elisabeth Lex · 2026

Balancing differential privacy (DP) with recommendation accuracy is a key challenge in privacy-preserving recommender systems, since DP-noise degrades accuracy. We address this trade-off at both the d…

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