Expertini Research Research

Browse Research Papers

3,171+ open-access research outputs.

โœ• Clear
๐Ÿ” emil schuler ๐Ÿ“‚ Computer Science
Showing 3171 results for "emil schuler" in Computer Science
Computer Science Preprint PDF DOI

Reproducible Automated Program Repair Is Hard -- Experiences With the Defects4J Dataset

Adam Krafczyk, Klaus Schmid ยท 2026

In the research of automated program repair (APR), benchmark datasets consisting of known defects in combination with test suites that indicate the defects are of high importance. They allow for an evโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

EMiX: Emulating Beyond Single-FPGA Limits

Alexander Kropotov, Miquel Moreto, Behzad Salami ยท 2026

FPGA-level emulation is a key step in pre-silicon chip design validation. However, emulating large-scale multi-core systems increasingly exceed the hardware resource capacity of a single FPGA, limitinโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

RAG-Enhanced Kernel-Based Heuristic Synthesis (RKHS): A Structured Methodology Using Large Language Models for Hardware Design

Shiva Ahir, Alex Doboli ยท 2026

Heuristic design upholds modern electronic design automation (EDA) tools, yet crafting effective placement, routing, and scheduling strategies entails substantial expertise. We study how large languagโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

NeuralEmu: in situ Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation

Haoran Wan, Yaxiong Xie, Kyle Jamieson ยท 2026

Current and future applications demand ultra-low latency and consistent throughput, yet frequently traverse 5G cellular networks, so cope with volatile packet dynamics, as 5G base station schedulers dโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

NVLLM: A 3D NAND-Centric Architecture Enabling Edge on-Device LLM Inference

Mingbo Hao, Changwei Yan, Haoyu Cui, Zhihao Yan, Yizhi Ding, Zhangrui Qian, Weiwei Shan ยท 2026

The rapid growth of LLMs demands high-throughput, memory-capacity-intensive inference on resource-constrained edge devices, where single-batch decoding remains fundamentally memory-bound. Existing outโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

CacheFlow: Efficient LLM Serving with 3D-Parallel KV Cache Restoration

Sean Nian, Jiahao Fang, Qilong Feng, Zhiyu Wu, Fan Lai ยท 2026

KV cache restoration has emerged as a dominant bottleneck in serving long-context LLM workloads, including multi-turn conversations, retrieval-augmented generation, and agentic pipelines. Existing appโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models

Nay Myat Min, Long H. Pham, Jun Sun ยท 2026

Large language models deployed at runtime can misbehave in ways that clean-data validation cannot anticipate: training-time backdoors lie dormant until triggered, jailbreaks subvert safety alignment, โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

CyberCane: Neuro-Symbolic RAG for Privacy-Preserving Phishing Detection with Formal Ontology Reasoning

Safayat Bin Hakim, Aniqa Afzal, Qi Zhao, Vigna Majmundar, Pawel Sloboda, Houbing Herbert Song ยท 2026

Privacy-critical domains require phishing detection systems that satisfy contradictory constraints: near-zero false positives to prevent workflow disruption, transparent explanations for non-expert stโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems

Jun He, Deying Yu ยท 2026

Large language model (LLM) agents increasingly issue API calls that mutate real systems, yet many current architectures pass stochastic model outputs directly to execution layers. We argue that this cโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

MCP Pitfall Lab: Exposing Developer Pitfalls in MCP Tool Server Security under Multi-Vector Attacks

Run Hao, Zhuoran Tan ยท 2026

Model Context Protocol (MCP) is increasingly adopted for tool-integrated LLM agents, but its multi-layer design and third-party server ecosystem expand risks across tool metadata, untrusted outputs, cโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

A Cloud-Native Architecture for Human-in-Control LLM-Assisted OpenSearch in Investigative Settings

Benjamin Puhani, Kai Brehmer, Malte Prie{ss} ยท 2026

Complex criminal investigations are often hindered by large volumes of unstructured evidence and by the semantic gap between natural language investigative intent and technical search logic. To addresโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Evolution of Research Method Usage Across the Academic Careers of Library and Information Science Scholars

Jiayi Hao, Chengzhi Zhang ยท 2026

Research methods constitute an indispensable tool for scholars engaged in scientific inquiry. Investigating how scholars use research methods throughout their careers can reveal distinct patterns in mโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

FEPLB: Exploiting Copy Engines for Nearly Free MoE Load Balancing in Distributed Training

Shuyao Qi, Haoyuan Liu, Shizhen Zhao ยท 2026

Fine-grained, per-micro-batch load balancing is essential for efficient Mixture-of-Experts (MoE) training, yet every prior dynamic scheduling scheme pays for it with extra communication that is hard tโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

The eigenvector centrality of hypergraphs

Changjiang Bu, Haotian Zeng, Qingying Zhang ยท 2026

A hypergraph is called uniform when every hyperedge contains the same number of vertices, otherwise, it is called non-uniform. In the real world, many systems give rise to non-uniform hypergraphs, sucโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs

Ruixuan Liu, David Evans, Li Xiong ยท 2026

Indistinguishability properties such as differential privacy bounds or low empirically measured membership inference are widely treated as proxies to show a model is sufficiently protected against broโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

HybridGen: Efficient LLM Generative Inference via CPU-GPU Hybrid Computing

Mao Lin, Xi Wang, Guilherme Cox, Dong Li, Hyeran Jeon ยท 2026

As modern LLMs support thousands to millions of tokens, KV caches grow to hundreds of gigabytes, stressing memory capacity and bandwidth. Existing solutions, such as KV cache pruning and offloading, aโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

MASFuzzer: Fuzz Driver Generation and Adaptive Scheduling via Multidimensional API Sequences

Xingyu Liu, Zengqin Huang, Xiang Gao, Hailong Sun ยท 2026

Fuzz testing of software libraries relies on fuzz drivers to invoke library APIs. Traditionally, these drivers are written manually by developers - a process that is time-consuming and often inadequatโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

The dimensions of Schur squares of HRS codes

Haojie Gu, Zhihao Zhu, Jun Zhang ยท 2026

The Schur square of linear codes over a finite field has emerged as a fundamental operation in both classical and quantum coding theory. In this paper, we investigate the Schur square problem of Hyperโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Towards Energy Efficient Co-Scheduling in HPC

Zhong Zheng, Michael E. Papka, Zhiling Lan ยท 2026

Modern multi GPU HPC systems expose substantial computational capacity, yet inefficient GPU allocation often leads to wasted energy and underutilization. In practice, GPU applications exhibit heterogeโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

GuardPhish: Securing Open-Source LLMs from Phishing Abuse

Rina Mishra, Gaurav Varshney, Doddipatla Sesha Sahithi ยท 2026

The rapid adoption of open-source Large Language Models (LLMs) in offline and enterprise environments has introduced a largely unexamined security risk like susceptibility to adversarial phishing promโ€ฆ

Read Paper โ†’
Page 1 of 159 Next โ†’