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🔍 heiner litz 📂 Computer Science
Showing 526 results for "heiner litz" in Computer Science
Computer Science Preprint PDF DOI

D-Rex : Diffusion Rendering for Relightable Expressive Avatars

Timo Teufel, Xilong Zhou, Umar Iqbal, Jan Kautz, Marc Habermann, Vladislav Golyanik, Christian Theobalt · 2026

We present D-Rex, a person-specific framework for photorealistic, relightable, expressive, and animatable full-body human avatars with free-viewpoint rendering. Existing methods for relightable full-b…

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Computer Science Preprint PDF DOI

HAVEN: Hybrid Automated Verification ENgine for UVM Testbench Synthesis with LLMs

Chang-Chih Meng, Yu-Ren Lu, Guan-Yu Lin, Tsung Tai Yeh, Kai-Chiang Wu, I-Chen Wu · 2026

Integrated Circuit (IC) verification consumes nearly 70% of the IC development cycle, and recent research leverages Large Language Models (LLMs) to automatically generate testbenches and reduce verifi…

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Computer Science Preprint PDF DOI

Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards

Taha Hammadia, Lucas Rea, Ahmad Mohammad Saber, Amr Youssef, Deepa Kundur · 2026

The deployment of Large Language Models (LLMs) as assistants in electric grid operations promises to streamline compliance and decision-making but exposes new vulnerabilities to prompt-based adversari…

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Computer Science Preprint PDF DOI

iCoRe: An Iterative Correlation-Aware Retriever for Bug Reproduction Test Generation

Junyi Wang, Jialun Cao, Zhongxin Liu · 2026

Automatically generating bug reproduction tests (BRT) from issue descriptions is crucial for software maintenance. LLM-based approaches have shown great potential for this task. Their effectiveness he…

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Computer Science Preprint PDF DOI

Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers

Qingcheng Zeng, Yuheng Lu, Zeqi Zhou, Heli Qi, Puxuan Yu, Fuheng Zhao, Hitomi Yanaka, Weihao Xuan, Naoto Yokoya · 2026

Code-switching is a pervasive linguistic phenomenon in global communication, yet modern information retrieval systems remain predominantly designed for, and evaluated within, monolingual contexts. To …

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Computer Science Preprint PDF DOI

Visual Inception: Compromising Long-term Planning in Agentic Recommenders via Multimodal Memory Poisoning

Jiachen Qian · 2026

The evolution from static ranking models to Agentic Recommender Systems (Agentic RecSys) empowers AI agents to maintain long-term user profiles and autonomously plan service tasks. While this paradigm…

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Computer Science Preprint PDF DOI

AgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software Engineering

Rajesh Kumar, Waqar Ali, Junaid Ahmed, Najma Imtiaz Ali, Shaban Usman · 2026

Large language models generate plausible code but cannot verify correctness. Existing multi-agent systems simulate execution or leave verification optional. We introduce execution-grounded verificatio…

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Computer Science Preprint PDF DOI

LITE: Lightweight Channel Gain Estimation with Reduced X-Haul CSI Signaling in O-RAN

David Goez, Marco Piazzola, Giulia Costa, Achiel Colpaert, Rodney Martinez Alonso, Esra Aycan Beyazit, Nina Slamnik-Krijestorac, Johann M. Marquez-Barja, Miguel Camelo Botero · 2026

Cell-Free Massive Multiple-Input Multiple-Output (CF-MaMIMO) in Open Radio Access Network (O-RAN) promises high spectral efficiency but is limited by frequent Channel State Information (CSI) exchanges…

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Computer Science Preprint PDF DOI

Triage: Routing Software Engineering Tasks to Cost-Effective LLM Tiers via Code Quality Signals

Lech Madeyski · 2026

Context: AI coding agents route every task to a single frontier large language model (LLM), paying premium inference cost even when many tasks are routine. Objectives: We propose Triage, a framework…

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Computer Science Preprint PDF DOI

WSCM-Lite: A Practitioner-Ready Implementation of the Weak Signal Cultivation Model

Maurice Codourey, Emmanuel A. Gonzalez · 2026

The Weak Signal Cultivation Model (WSCM) provides a mathematically rigorous framework for tracking frontline risk signals across a two-dimensional coordinate field using 15 equations and 16 tunable pa…

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Computer Science Preprint PDF DOI

Spec Kit Agents: Context-Grounded Agentic Workflows

Pardis Taghavi, Santosh Bhavani · 2026

Spec-driven development (SDD) with AI coding agents provides a structured workflow, but agents often remain "context blind" in large, evolving repositories, leading to hallucinated APIs and architectu…

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Computer Science Preprint PDF DOI

Planning to Explore: Curiosity-Driven Planning for LLM Test Generation

Alfonso Amayuelas, Firas Laakom, Piotr Piekos, Wenyi Wang, Yifan Xu, Yuhui Wang, Jurgen Schmidhuber, William Wang · 2026

The use of LLMs for code generation has naturally extended to code testing and evaluation. As codebases grow in size and complexity, so does the need for automated test generation. Current approaches …

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Computer Science Preprint PDF DOI

Beyond Fixed Tests: Repository-Level Issue Resolution as Coevolution of Code and Behavioral Constraints

Kefan Li, Yuan Yuan, Mengfei Wang, Shihao Zheng, Wei Wang, Ping Yang, Mu Li, Weifeng Lv · 2026

Software engineers resolving repository-level issues do not treat existing tests as immutable correctness oracles. Instead, they iteratively refine both code and the tests used to characterize intende…

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Computer Science Preprint PDF DOI

ProVega: A Grammar to Ease the Prototyping, Creation, and Reproducibility of Progressive Data Analysis and Visualization Solutions

Matteo Filosa, Graziano Blasilli, Emilio Martino, Marco Angelini · 2026

Modern data analysis requires speed for massive datasets. Progressive Data Analysis and Visualization (PDAV) emerged as a discipline to address this problem, providing fast response times while mainta…

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Computer Science Preprint PDF DOI

The Weak Signal Cultivation Model: A Human-Centric Framework for Frontline Risk Detection, Signal Tracking, and Proactive Organizational Resilience

Maurice Codourey, Emmanuel A. Gonzalez · 2026

This white paper introduces the Weak Signal Cultivation Model (WSCM). WSCM is a human-centric framework for detecting, structuring, and tracking weak risk signals as observed by frontline staff. The m…

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Computer Science Preprint PDF DOI

UniMixer: A Unified Architecture for Scaling Laws in Recommendation Systems

Mingming Ha, Guanchen Wang, Linxun Chen, Xuan Rao, Yuexin Shi, Tianbao Ma, Zhaojie Liu, Yunqian Fan, Zilong Lu, Yanan Niu, Han Li, Kun Gai · 2026

In recent years, the scaling laws of recommendation models have attracted increasing attention, which govern the relationship between performance and parameters/FLOPs of recommenders. Currently, there…

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Computer Science Preprint PDF DOI

Beyond Localization: Recoverable Headroom and Residual Frontier in Repository-Level RAG-APR

Pengtao Zhao, Boyang Yang, Bach Le, Feng Liu, Haoye Tian · 2026

Repository-level automated program repair (APR) increasingly treats stronger localization as the main path to better repair. We ask a more targeted question: once localization is strengthened, which p…

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Computer Science Preprint PDF DOI

Can AI Models Direct Each Other? Organizational Structure as a Probe into Training Limitations

Rui Liu · 2026

Can an expensive AI model effectively direct a cheap one to solve software engineering tasks? We study this question by introducing ManagerWorker, a two-agent pipeline where an expensive "manager" mod…

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Computer Science Preprint PDF DOI

HeyFriend Helper: A Conversational AI Web-App for Resource Access Among Low-Income Chicago Residents

Maddie Juarez, Abha Rai, Kristen E. Ravi, Margaret C. Delaney, Danny Olweean, Eric Klingensmith, Swarnali Banerjee, Neil Klingensmith, George K. Thiruvathukal · 2026

Low-income individuals can face multiple challenges in their ability to seek employment. Barriers to employment often include limited access to digital literacy resources, training, interview preparat…

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Computer Science Preprint PDF DOI

Kakeya Conjecture and Conditional Kolmogorov Complexity

Nicholas G. Polson, Daniel Zantedeschi · 2026

This paper develops an information-theoretic framework for algorithmic complexity under regular identifiable fibering. The central question is: when a decoder is given information about the fiber labe…

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