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๐Ÿ” computer simulation ๐Ÿ“‚ Computer Science
Showing 291239 results for "computer simulation" in Computer Science
Computer Science Preprint PDF DOI

Self-Evolving Software Agents

Marco Robol, Paolo Giorgini ยท 2026

Autonomous agents can adapt their behaviour to changing environments, but remain bound to requirements, goals, and capabilities fixed at design time, preventing genuine software evolution. This paper โ€ฆ

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SynSQL: Synthesizing Relational Databases for Robust Evaluation of Text-to-SQL Systems

Mohammadamin Habibollah, Davood Rafiei ยท 2026

Evaluating text-to-SQL systems remains largely fragile: correctness is typically judged by executing predicted and gold SQL queries on a single static database, even though the same queries may behaveโ€ฆ

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Unified Data Discovery across Query Modalities and User Intents

Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Shazia Sadiq, Volkan Dedeoglu, Reza Arablouei ยท 2026

Data discovery - retrieving relevant tables from a data lake in response to user queries - is a fundamental building block for downstream analytics. In practice, data discovery must support different โ€ฆ

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Computer Science Preprint PDF DOI

Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption

Jason Fournier (Imagine Learning), Kacper {L}odzikowski (Adam Mickiewicz University, Poznan, Poland) ยท 2026

Generative AI has rapidly entered education through free consumer tools, outpacing the ability of schools and universities to respond. Now a new wave of more autonomous agentic AI systems--with the caโ€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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Computer Science Preprint PDF DOI

SafeTune: Mitigating Data Poisoning in LLM Fine-Tuning for RTL Code Generation

Mahshid Rezakhani, Nowfel Mashnoor, Kimia Azar, Hadi Kamali ยท 2026

As large language models (LLMs) are increasingly fine-tuned for hardware tasks like RTL code generation, the scarcity of high-quality datasets often leads to the use of rapidly assembled or generated โ€ฆ

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Upskilling with Generative AI: Practices and Challenges for Freelance Knowledge Workers

Kashif Imteyaz, Isabel Lopez, Nakul Rajpal, Hunjun Shin, Saiph Savage ยท 2026

Freelance workers must continually acquire new skills to remain competitive in online labor markets, yet they lack the organizational training, mentorship, and infrastructure available to traditional โ€ฆ

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Computer Science Preprint PDF DOI

Now's the Time: Computer Science Must Evolve to Emphasize Software and Systems Engineering with Artificial Intelligence (AI)

Chandra N. Sekharan, George K. Thiruvathukal ยท 2026

Computer science (CS) education needs to evolve to support software and artificial intelligence (AI) systems engineering, and it needs to happen now -- precisely because the core intellectual contribuโ€ฆ

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Designing sparse temporal graphs satisfying connectivity requirements

Thomas Bellitto, Jules Bouton Popper, Justine Cauvi, Bruno Escoffier, Raphaelle Maistre-Matus ยท 2026

Connectivity of temporal graphs has been widely studied both as graph theory and as gossip theory. In particular, it is well known that in order to connect every vertex to every other, a temporal grapโ€ฆ

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A Discipline-Agnostic AI Literacy Course for Academic Research: Architecture, Pedagogy, and Implementation

Gideon K. Gogovi ยท 2026

The rapid integration of generative AI into academic workflows demands curricula that equip students not only with tool proficiency but with the critical judgment to use those tools responsibly in schโ€ฆ

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Graphify: Automated Synthesis of Type-Safe Graph Backends via $O(S)$ GraphQL-to-Gremlin Transpilation

Johannes Graf ยท 2026

Graph databases offer unparalleled flexibility for managing interconnected data, yet the lack of strict schema enforcement often leads to runtime uncertainties and complex query development. This papeโ€ฆ

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Truthful-in-Expectation Mechanisms for MMS Approximation

Moshe Babaioff, Uriel Feige, Noam Manaker Morag ยท 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 mechanisโ€ฆ

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Theory Under Construction: Orchestrating Language Models for Research Software Where the Specification Evolves

Halley Young, Nikolaj Bjorner ยท 2026

Large language models can now generate substantial code and draft research text, but research-software projects require more than either artifact alone. The mathematical thesis, executable system, benโ€ฆ

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Reading Speed, Image Quality Ratings, and Comfort Ratings in Augmented Reality

Minjung Kim, Saeideh Ghahghaei Nezamabadi, Trisha Lian, Anand Singh ยท 2026

The rendering and display of text is a key use-case for augmented reality (AR). Here, we present the Read-AR, a dataset of reading in AR, for which we collected over 11,000 reading speeds and almost 6โ€ฆ

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Indirect Prompt Injection in the Wild: An Empirical Study of Prevalence, Techniques, and Objectives

Soheil Khodayari, Xuenan Zhang, Bhupendra Acharya, Giancarlo Pellegrino ยท 2026

As LLMs are increasingly integrated into systems that browse, retrieve, summarize, and act on web content, webpages have become an untrusted input vector for downstream model behavior. This enables siโ€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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What Suppresses Nash Equilibrium Play in Large Language Models? Mechanistic Evidence and Causal Control

Paraskevas V. Lekeas, Giorgos Stamatopoulos ยท 2026

LLM agents are known to deviate from Nash equilibria in strategic interactions, but nobody has looked inside the model to understand why, or asked whether the deviation can be reversed. We do both. โ€ฆ

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CI-Repair-Bench: A Repository-Aware Benchmark for Automated Patch Validation via CI Workflows

Rabeya Khatun Muna, Md Nakhla Rafi, Tse-Hsun (Peter) Chen ยท 2026

Continuous Integration (CI) enforces repository-level correctness through multi-stage workflows and is central to modern software development, yet diagnosing and repairing CI failures remains challengโ€ฆ

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Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents

Benjamin Probst, Andreas Happe, Jurgen Cito ยท 2026

Recent research has demonstrated the potential of Large Language Models (LLMs) for autonomous penetration testing, particularly when using cloud-based restricted-weight models. However, reliance on suโ€ฆ

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New Diameter Approximations via Distance Oracle Techniques

Yael Kirkpatrick, Liam Roditty, Richard Qi, Virginia Vassilevska Williams ยท 2026

Computing the diameter of a graph is a problem of great interest both in general algorithms research and specifically within fine-grained complexity, where it is a cornerstone hard problem. Recent worโ€ฆ

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