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Computer Science Preprint PDF DOI

When and How AI Should Assist Brainstorming for AI Impact Assessment

Jarod Govers, Sanja Scepanovic, Daniele Quercia ยท 2026

A key task in AI practice is to assess potential impacts to prevent harm. Current AI tools assisting AI impact assessment have not been designed or evaluated for collaborative team brainstorming, and โ€ฆ

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How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews

Riley Grossman, Songjiang Liu, Michael K. Chen, Mike Smith, Cristian Borcea, Yi Chen ยท 2026

Generative AI is being increasingly integrated into web search for the convenience it provides users. In this work, we aim to understand how generative AI disrupts web search by retrieving and presentโ€ฆ

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Computer Science Preprint PDF DOI

Monadic Presburger Predicates have Robust Population Protocols

Philipp Czerner, Javier Esparza, Vincent Fischer, Roland Guttenberg, Julian Pins, Simon Reilich ยท 2026

Population protocols are a model of distributed computation in which a collection of indistinguishable finite-state agents interact randomly in pairs to decide a predicate of their initial configuratiโ€ฆ

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Gender Bias in YouTube Exposure: Allocative and Structural Inequalities in Political Information Environments

Jipeng Tan, Weifeng Zhang, Ye Wu, Jialin Guo, Yong Min ยท 2026

Recommendation algorithms have become the dominant mechanism for information distribution on digital platforms, profoundly shaping personalized information consumption environments. However, gender biโ€ฆ

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Computer Science Preprint PDF DOI

To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code Editing

Wei Cheng, Yongchang Cao, Chen Shen, Binhua Li, Jue Chen, Yongbin Li, Wei Hu ยท 2026

Large Language Models (LLMs) are increasingly used for code editing, yet the prevalent full-code generation paradigm suffers from severe efficiency bottlenecks, posing challenges for interactive codinโ€ฆ

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Computer Science Preprint PDF DOI

RAQG-QPP: Query Performance Prediction with Retrieved Query Variants and Retrieval Augmented Query Generation

Fangzheng Tian, Debasis Ganguly, Craig Macdonald ยท 2026

Query Performance Prediction (QPP) estimates the retrieval quality of ranking models without the use of any human-assessed relevance judgements, and finds applications in query-specific selective deciโ€ฆ

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End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric

Pavan Sollu, Aniruddha Mukherjee, Divya Pulivarthi, S.R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan ยท 2026

Hyperledger Fabric (HLF) is a modular, permissioned blockchain widely adopted in enterprise settings. Enhancing its throughput and latency remains challenging, as optimization decisions made in one phโ€ฆ

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COPUS: Co-adaptive Parallelism and Batch Size Selection in Large Language Model Training

Akhmed Sakip, Erland Hilman Fuadi, Omar Sayedelahl, Zonghang Li, Jianshu She, Alham Fikri Aji, Steve Liu, Eric Xing, Qirong Ho ยท 2026

Training large language models requires jointly configuring two interdependent aspects of the system: the global batch size, which governs statistical efficiency, and the 3D parallelism strategy, whicโ€ฆ

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AgentSim: A Platform for Verifiable Agent-Trace Simulation

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic ยท 2026

Training trustworthy agentic LLMs requires data that shows the grounded reasoning process, not just the final answer. Existing datasets fall short: question-answering data is outcome-only, chain-of-thโ€ฆ

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The Buy-or-Build Decision, Revisited: How Agentic AI Changes the Economics of Enterprise Software

David Klotz ยท 2026

Advances in generative artificial intelligence, particularly agentic coding systems capable of autonomous software development, are disrupting the economics of the make-or-buy decision for enterprise โ€ฆ

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eDySec: A Deep Learning-based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem

Sk Tanzir Mehedi, Raja Jurdak, Chadni Islam, Abu Bakar Siddique Mahi, Gowri Ramachandran ยท 2026

The security of open-source software repositories is increasingly threatened by next-gen software supply chain attacks. These attacks include multiphase malware execution, remote access activation, anโ€ฆ

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Designing Rewards for Rewarding Designs: Demonstrating the Impact of Rewards on the Creative Design Process

Surabhi S Nath, Vindula Jayawardana, Monica Van, Matt Klenk, Shabnam Hakimi ยท 2026

The creative design process involves transforming abstract goals into concrete outcomes through a series of decisions made under constraints. While such processes are commonly shaped by feedback like โ€ฆ

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Make Any Collection Navigable: Methods for Constructing and Evaluating Hypergraph of Text

Dean E. Alvarez, ChengXiang Zhai ยท 2026

One reason the Web is more useful than a simple collection of documents is that the structure created by hyperlinks enables flexible navigation from one web page to another. However, hyperlinks are tyโ€ฆ

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Three Models of RLHF Annotation: Extension, Evidence, and Authority

Steve Coyne ยท 2026

Preference-based alignment methods, most prominently Reinforcement Learning with Human Feedback (RLHF), use the judgments of human annotators to shape large language model behaviour. However, the normโ€ฆ

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ClayScape: A GenAI-Supported Workflow for Designing Chinese Style Ceramics with Clay 3D Printing

Sijia Liu, Hoi Ching Silvester Mok, Long Ling, Tobias Klein, Ray LC ยท 2026

Chinese ceramic-making involves complex and interdependent steps, making it technically demanding. Digital fabrication methods attempt to make the process more accessible, but for craft-creators, techโ€ฆ

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Using Large Language Models for Black-Box Testing of FMU-Based Simulations

Abdullah Mughees, Gaadha Sudheerbabu, Tanwir Ahmad, Dragos Truscan, Mikael Manng{aa}rd, Kristian Klemets ยท 2026

We propose a human in the loop approach for black-box testing of Functional Mock-up Units (FMUs) using Large Language Models (LLMs). The goal is to reduce the manual effort in defining test scenarios โ€ฆ

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Recommending Usability Improvements with Multimodal Large Language Models

Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Manuel Henrich ยท 2026

Usability describes quality attributes of application user interfaces that determine how effectively users can interact with them. Traditional usability evaluation methods require considerable expertiโ€ฆ

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Fitting Horn DL Ontologies to ABox and Query Examples: A Tale of Simulation Quantifiers and Finite Models

Marvin Grosser, Carsten Lutz ยท 2026

We study the problem of fitting a description logic (DL) ontology to a given set of positive and negative examples that take the form of an ABox and a Boolean query. While previous work has investigatโ€ฆ

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Hu\'i S\`u: Co-constructing a Dual Feedback Apparatus

Yichen Wang, Charles Patrick Martin ยท 2026

This performance presents a duet between two intelligent musical instruments, S\`u (to trace back; to go upstream) and Agentier (playing on agentic clavier), and their human performers, connected throโ€ฆ

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Making AI-Assisted Grant Evaluation Auditable without Exposing the Model

Kemal Bicakci ยท 2026

Public agencies are beginning to consider large language models (LLMs) as decision-support tools for grant evaluation. This creates a practical governance problem: the model and scoring rubric should โ€ฆ

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