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🔍 biological evolution 📂 Computer Science 📄 Preprint
Showing 48202 results for "biological evolution" in Computer Science · Preprint
Computer Science Preprint PDF DOI

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption

Yanting Wang, Chenlong Yin, Ying Chen, Jinyuan Jia · 2026

Long-context large language models (LLMs)-for example, Gemini-3.1-Pro and Qwen-3.5-are widely used to empower many real-world applications, such as retrieval-augmented generation, autonomous agents, a…

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Computer Science Preprint PDF DOI

Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows

Chenxin Li, Zhengyang Tang, Huangxin Lin, Yunlong Lin, Shijue Huang, Shengyuan Liu, Bowen Ye, Rang Li, Lei Li, Benyou Wang, Yixuan Yuan · 2026

LLM agents are expected to complete end-to-end units of work across software tools, business services, and local workspaces. Yet many agent benchmarks freeze a curated task set at release time and gra…

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Computer Science Preprint PDF DOI

Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection

Prashant Kulkarni · 2026

Multi-turn prompt injection follows a known attack path -- trust-building, pivoting, escalation but text-level defenses miss covert attacks where individual turns appear benign. We show this attack pa…

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Computer Science Preprint PDF DOI

DEFault++: Automated Fault Detection, Categorization, and Diagnosis for Transformer Architectures

Sigma Jahan, Saurabh Singh Rajput, Tushar Sharma, Mohammad Masudur Rahman · 2026

Transformer models are widely deployed in critical AI applications, yet faults in their attention mechanisms, projections, and other internal components often degrade behavior silently without raising…

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Computer Science Preprint PDF DOI

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani, Holger Giese · 2026

Rule-based systems remain central in safety-critical domains but often struggle with scalability, brittleness, and goal misspecification. These limitations can lead to reward hacking and failures in f…

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Computer Science Preprint PDF DOI

Exploring Sparse Matrix Multiplication Kernels on the Cerebras CS-3

Milan Shah, Sheng Di, Michela Becchi · 2026

In recent years, novel AI accelerators have emerged as promising alternatives to GPU for AI model training and inference tasks. One such accelerator, the Cerebras CS-3, achieves strong performance on …

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Computer Science Preprint PDF DOI

Enhancing multimodal affect recognition in healthcare: the robustness of appraisal dimensions over labels within age groups and in cross-age generalisation

Hippolyte Fournier, Sina Alisamir, Safaa Azzakhnini, Isabella Zsoldos, Eleonore Tran, Gerard Bailly, Frederic Elisei, Beatrice Bouchot, Brice Varini, Patrick Constant, Joan Fruitet, Franck Tarpin-Bernard, Solange Rossato, Francois Portet, Olivier Koenig, Hanna Chainay, Fabien Ringeval · 2026

The integration of artificial intelligence (AI) into healthcare has advanced significantly, yet affect recognition remains a major challenge, particularly in AI-assisted interventions such as Computer…

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Computer Science Preprint PDF DOI

Synthetic Biological Intelligence: System-Level Abstractions and Adaptive Bio-Digital Interaction

Martin Schottlender, Pengjie Zhou, Veronika Volkova, Fatima Rani, Ruifeng Zheng, Juan A. Cabrera, Frank H.P. Fitzek, Pit Hofmann · 2026

Concurrent advances across fields such as organoid technology, Microelectrode Arrays (MEAs), neuromorphic computing, and machine learning have given rise to a groundbreaking research paradigm: Synthet…

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Computer Science Preprint PDF DOI

An Empirical Evaluation of Code Smell Detection in Angular Applications

Maykon Nunes, Emanuel Coutinho, Carla Bezerra, Ivan Machado · 2026

Angular is one of the most widely adopted frameworks for developing large-scale, dynamic web applications. As projects increase in scope and complexity, developers face growing challenges in managing …

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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

A Monadic Implementation of Functional Logic Programs

Michael Hanus, Kai-Oliver Prott, Finn Teegen · 2026

Functional logic languages are a high-level approach to programming by combining the most important declarative features. They abstract from small-step operational details so that programmers can conc…

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Computer Science Preprint PDF DOI

NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains

Shiyao Peng, Qianhe Zheng, Zhuodi Hao, Zichen Tang, Rongjin Li, Qing Huang, Jiayu Huang, Jiacheng Liu, Yifan Zhu, Haihong E · 2026

Although precise recall is a core objective in Retrieval-Augmented Generation (RAG), a critical oversight persists in the field: improvements in retrieval performance do not consistently translate to …

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Computer Science Preprint PDF DOI

"It depends on where AI is used": Players' attitude patterns and evaluative logics toward different AI applications in digital games

Ting-Chen Hsu, Jiangxu Lin, Wenran Chen, Fei Qin, Zheyuan Zhang · 2026

As AI becomes increasingly embedded in digital games, players' attitudes de-pend not only on whether AI is used, but also on where and how it intervenes in gameplay. This study examines players' evalu…

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Computer Science Preprint PDF DOI

AME-PIM: Can Memory be Your Next Tensor Accelerator?

Emanuele Venieri, Simone Manoni, Alberto Florian, Jaehyun Park, Kyomin Sohn, Andrea Bartolini · 2026

High Bandwidth Memory with Processing-in-Memory (HBM-PIM) offers an opportunity to reduce data movement by executing computation directly inside memory, but current commercial platforms expose limited…

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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

RuC: HDL-Agnostic Rule Completion Benchmark Generation

Arnau Ayguade Domingo, Miquel Alberti-Binimelis, Cristian Gutierrez-Gomez, Emanuele Parisi, Razine Moundir Ghorab, Miquel Moreto, Gokcen Kestor, Dario Garcia-Gasulla · 2026

Large Language Models (LLMs) have rapidly improved in performance across code-related tasks, making their integration into Register Transfer Level (RTL) development increasingly attractive. Mimicking …

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Computer Science Preprint PDF DOI

LLM-as-a-Judge for Human-AI Co-Creation: A Reliability-Aware Evaluation Framework for Coding

Md Faizul Ibne Amin, Yutaka Watanobe, Daniel M. Muepu, Haruto Suzuki, Kenta Nanaumi, Md Mostafizer Rahman · 2026

LLMs are increasingly employed both as judges for evaluating open-ended outputs and as co-creation partners in AI-assisted programming; yet rigorous evaluation in human-AI co-creation settings remains…

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Computer Science Preprint PDF DOI

AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments

Jiaju Chen, Jinghua Piao, Xia Xu, Songwei Li, Tong Xia, Xiangnan He, Yong Li · 2026

A long-standing challenge in economics lies not in the lack of intuition, but in the difficulty of translating intuitive insights into verifiable research. To address this challenge, we introduce Agen…

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Computer Science Preprint PDF DOI

PuzzleMark: Implicit Jigsaw Learning for Robust Code Dataset Watermarking in Neural Code Completion Models

Haocheng Huang, Yuchen Chen, Weisong Sun, Peizhuo Lv, Yuan Xiao, Chunrong Fang, Yang Liu, Xiaofang Zhang · 2026

Constructing and curating high-quality code datasets requires significant resources, making them valuable intellectual property. Unfortunately, these datasets currently face severe risks of unauthoriz…

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Computer Science Preprint PDF DOI

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models

Xiaokun Luan, Yihao Zhang, Pengcheng Su, Feiran Lei, Meng Sun · 2026

Large Language Model (LLM) watermarking is crucial for establishing the provenance of machine-generated text, but most existing methods rely on a centralized trust model. This model forces users to re…

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