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🔍 siheng chen 📂 Computer Science
Showing 2774 results for "siheng chen" in Computer Science
Computer Science Preprint PDF DOI

When and How AI Should Assist Brainstorming for AI Impact Assessment

Jarod Govers, Sanja Scepanovic, Daniele Quercia · 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 …

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Computer Science Preprint PDF DOI

SimEval-IR: A Unified Toolkit and Benchmark Suite for Evaluating User Simulators and Search Sessions

Saber Zerhoudi · 2026

User simulators are increasingly central to interactive information retrieval, yet the community lacks standardized evaluation tools. Simulators serve two objectives, behavioral realism (matching real…

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Computer Science Preprint PDF DOI

Test Before You Deploy: Governing Updates in the LLM Supply Chain

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li · 2026

Large Language Models (LLMs) are increasingly used as core dependencies in software systems. However, the hosted LLM services evolve continuously through provider-side updates without explicit version…

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Computer Science Preprint PDF DOI

Understanding Bugs in Template Engine-Based Applications: Symptoms, Root Causes, and Fix Patterns

Kai Gao, Yu Sun, Chang-ai Sun · 2026

Template engines are indispensable components in modern software ecosystems, enabling the generation of structured documents and scripts across domains such as web development, Infrastructure as Code,…

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Computer Science Preprint PDF DOI

When Model Editing Meets Service Evolution: A Knowledge-Update Perspective for Service Recommendation

Guodong Fan, Cuiyun Gao, Chun Yong Chong, Lu Zhang, Jing Li, Jinglin Zhang, Shizhan Chen · 2026

The rapid evolution of software services poses substantial challenges to the design and implementation of effective recommendation systems. Traditional service recommendation approaches often rely on …

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Computer Science Preprint PDF DOI

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models

Dongxin Guo, Jikun Wu, Siu Ming Yiu · 2026

Large reasoning models such as DeepSeek-R1 and OpenAI o1 generate extended chains of thought spanning thousands of tokens, yet their integration with retrieval-augmented generation (RAG) remains funda…

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Computer Science Preprint PDF DOI

Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models

Ajmain Inqiad Alam, Palash Roy, Chanchal K. Roy, Banani Roy, Kevin A. Schneider · 2026

The accelerating adoption of Large Language Models (LLMs) in software engineering (SE) has brought with it a silent crisis: unsustainable computational cost. While these models demonstrate remarkable …

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Computer Science Preprint PDF DOI

The Surprising Universality of LLM Outputs: A Real-Time Verification Primitive

Alex Bogdan, Adrian de Valois-Franklin · 2026

We report a striking statistical regularity in frontier LLM outputs that enables a CPU-only scoring primitive running at 2.6 microseconds per token, with estimated latency up to 100,000$\times$ (five …

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Computer Science Preprint PDF DOI

Probing for Better Age of Information in Energy-Harvesting Random Access Networks

Ziyi Li, Fangming Zhao, Howard H. Yang · 2026

In this paper, we investigate the impact of channel probing and reservation on the Age of Information (AoI) in energy-harvesting (EH) random access networks, where each source relies solely on harvest…

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Computer Science Preprint PDF DOI

When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation

Amal AKLI, Mike PAPADAKIS, Maxime CORDY, Yves Le TRAON · 2026

Large language models are increasingly used for code generation, yet the correctness of their outputs depends not only on model capability but also on how tasks are specified. Prior studies demonstrat…

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Computer Science Preprint PDF DOI

Constructive Separations from Gate Elimination

Marco Carmosino, Ngu Dang, Tim Jackman · 2026

Gate elimination is the primary technique for proving explicit lower bounds against general Boolean circuits, including Li and Yang's state-of-the-art $3.1n - o(n)$ bound for affine dispersers (STOC 2…

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Computer Science Preprint PDF DOI

When the Agent Is the Adversary: Architectural Requirements for Agentic AI Containment After the April 2026 Frontier Model Escape

Richard Joseph Mitchell · 2026

The April 2026 disclosure that a frontier large language model escaped its security sandbox, executed unauthorized actions, and concealed its modifications to version control history demonstrates that…

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Computer Science Preprint PDF DOI

Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption

Alexandre Marques, Beatriz Sa, Rui Botelho, Pedro Pinto · 2026

The use of Machine Learning (ML) for data-driven decision-making often relies on access to sensitive datasets, which introduces privacy challenges. Traditional encryption methods protect data at rest …

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Computer Science Preprint PDF DOI

How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study

Sanjana Gautam, Houjiang Liu, Yujin Choi, Matthew Lease · 2026

In the early stages of scientific research, researchers rely on core scholarly judgments to identify relevant literature, assess credible evidence, and determine which directions merit pursuit. As AI …

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Computer Science Preprint PDF DOI

Understanding teens' self-beliefs when learning to construct and deconstruct AI/ML systems: Developing a survey instrument

Luis Morales-Navarro, Deborah Fields, Michael T. Giang, Daniel J. Noh, Yasmin B. Kafai, Danae Metaxa · 2026

Despite growing calls to foster AI literacy, there are few available survey instruments designed for children and youth that study computational empowerment alongside construction and deconstruction a…

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Computer Science Preprint PDF DOI

FlyCatcher: Neural Inference of Runtime Checkers from Tests

Beatriz Souza, Chang Lou, Suman Nath, Michael Pradel · 2026

Complex software systems often suffer from silent failures, i.e., violations of the intended semantics that do not cause explicit errors. A promising approach to detect such errors is to use system-sp…

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Computer Science Preprint PDF DOI

When Constraints Limit and Inspire: Characterizing Presentation Authoring Practices for Evolving Narratives

Linxiu Zeng, Emily Kuang, Jian Zhao · 2026

Authoring presentation slides involves navigating contextual constraints that shape how content is structured, adapted, and reused. While prior work frames constraints as limitations, little is known …

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Computer Science Preprint PDF DOI

Behavioral Consistency and Transparency Analysis on Large Language Model API Gateways

Guanjie Lin, Yinxin Wan, Shichao Pei, Ting Xu, Kuai Xu, Guoliang Xue · 2026

Third-party Large Language Model (LLM) API gateways are rapidly emerging as unified access points to models offered by multiple vendors. However, the internal routing, caching, and billing policies of…

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Computer Science Preprint PDF DOI

AnalogMaster: Large Language Model-based Automated Analog IC Design Framework from Image to Layout

Xian Rong Qin, Yong Zhang, Ying Hu, Tao Su, Bo-Wen Jia, Ning Xu · 2026

Design automation has the potential to substantially improve the efficiency of analog integrated circuit (IC) design. However, existing algorithms and tools typically focus on individual stages, such …

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Computer Science Preprint PDF DOI

Characterizing and Fixing Silent Data Loss in Spark-on-AWS-Lambda with Open Table Formats

Srujan Kumar Gandla · 2026

AWS Lambda terminates containers with an uncatchable SIGKILL signal when a function exceeds its configured timeout. When a Spark-on-AWS-Lambda (SoAL) job is killed between Phase 1 (data upload) and Ph…

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