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๐Ÿ” avoidance learning ๐Ÿ“‚ Computer Science
Showing 46580 results for "avoidance learning" in Computer Science
Computer Science Preprint PDF DOI

Hierarchies of No-regret Algorithms

R. Xu, E. Yachbes, J. Zhang ยท 2026

Our paper studies the setting of players using no-regret algorithms in various two-player games. We address whether having stronger regret guarantees or playing against an opponent with weaker regret โ€ฆ

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Coasting Through Class: Learning Opportunity Loss from Practice Avoidance During Individual Seatwork

Ashish Gurung, Jordan Gutterman, Danielle R. Thomas, Mingyu Feng, Vincent Aleven, Kenneth R. Koedinger ยท 2026

Measures of disengagement provide insights into unproductive use of learning opportunities. Although measures of active disengagement, such as gaming the system and mind-wandering, are well studied, lโ€ฆ

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Logic of Fuzzy Paths

Kush Grover, Pratham Gupta, Jan Kretinsky ยท 2026

We introduce a new family of temporal logics intended for specifications in motion planning (MP). It builds upon the signal temporal logic (STL), which is a linear-time logic over real-valued signals โ€ฆ

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Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components

Griffin Pitts, Muntasir Hoq, Peter Brusilovsky, Narges Norouzi, Arto Hellas, Juho Leinonen, Bita Akram ยท 2026

Adaptive programming practice often relies on fixed libraries of worked examples and practice problems, which require substantial authoring effort and may not correspond well to the logical errors andโ€ฆ

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FGDM: Reasoning Aware Multi-Agentic Framework for Software Bug Detection using Chain of Thought and Tree of Thought Prompting

Srita Padmanabhuni, Bhargavi Karuturi, Jerusha Karen Indupalli, Santhan Reddy Chilla, Vivek Yelleti ยท 2026

Deep Learning methods are becoming prominent in automated software bug detection; however, they lack the global understanding of the given code. Consequently, their performance tends to degrade, especโ€ฆ

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Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study

Sivajeet Chand, Kevin Nguyen, Peter Kuntz, Alexander Pretschner ยท 2026

Large language models (LLMs) perform strongly on general-purpose code generation, yet their applicability to enterprise domain-specific languages (DSLs) remains underexplored, especially for repositorโ€ฆ

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Voxel Deformation-Aware Neural Intersection Function

Chih-Chen Kao, Grzegorz Makowski, Shin Fujieda, Takahiro Harada ยท 2026

We extend the Locally-Subdivided Neural Intersection Function (LSNIF) to support parameterized deformable and animated geometry. Our approach introduces a rest-space and deformed-space formulation insโ€ฆ

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Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions

Utku Boran Torun, Veli Karakaya, Ali Babar, Eray Tuzun ยท 2026

Large Language Models (LLMs) are increasingly embedded in software engineering (SE) tools, powering applications such as code generation, automated code review, and bug triage. As these LLM-based AI fโ€ฆ

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Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models

Yuxing Tian, Fengran Mo, Zhiqi Huang, Weixu Zhang, Jian-Yun Nie ยท 2026

Large Language Models (LLMs) have recently been explored as fine-grained zero-shot re-rankers by leveraging attention signals to estimate document relevance. However, existing methods either aggregateโ€ฆ

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BoomHQ: Learning to Boost Multiple Hybrid Queries on Vector DBMSs

Ermu Qiu, Tianyi Chen, Jun Gao, Xing Wei, Yaofeng Tu, Yinjun Han, Yang Lin ยท 2026

Hybrid queries, which combine vector nearest neighbor searches with scalar predicates, represent a fundamental challenge in managing vector databases. Existing methods often restrict the number of vecโ€ฆ

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A systematic literature Review for Transformer-based Software Vulnerability detection

Fiza Naseer, Javed Ali Khan, Muhammad Yaqoob, Alexios Mylonas, Ishaya Gambo ยท 2026

Context: Software vulnerabilities pose significant security threats to software systems, especially as software is increasingly used across many areas of daily life, including health, government, and โ€ฆ

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How Do Software Engineering Students Use Generative AI in Real-World Capstone Projects? An Empirical Baseline Study

Michael Mircea, Elisa Schmid, Jakob Droste, Kurt Schneider ยท 2026

Real-world Capstone Projects (RWCPs) are a key component of software engineering education, enabling students to develop software for external clients under authentic conditions. Their high ecologicalโ€ฆ

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DECOFFEE: Decentralized Reinforcement Learning for Time-critical Workload Offloading and Energy Efficiency across the Computing Continuum

Anastasios Giannopoulos, Sotirios Spantideas, Panagiotis Trakadas ยท 2026

The rapid proliferation of latency-sensitive and battery-constrained Internet-of-Things (IoT) applications has intensified the need for intelligent workload placement mechanisms across the Edge-Cloud โ€ฆ

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TARMM: Scaling Delay-Critical Edge AI Offloading in 5G O-RAN via Temporal Graph Mobility Management

Peihao Yan, Yun Chen, Jie Lu, Qijun Wang, Huacheng Zeng ยท 2026

Emerging delay-critical edge AI applications, such as VR perception and real-time video analytics, impose stringent latency and reliability requirements on 5G networks. However, existing mobility manaโ€ฆ

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Geometric Analysis of Self-Supervised Vision Representations for Semantic Image Retrieval

Esteban Rodriguez-Betancourt, Edgar Casasola-Murillo ยท 2026

Content-based image retrieval (CBIR) systems enable users to search images based on visual content instead of relying on metadata. The text domain has benefited from vector search of representations cโ€ฆ

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A Survey on Split Learning for LLM Fine-Tuning: Models, Systems, and Privacy Optimizations

Zihan Liu, Yizhen Wang, Rui Wang, Xiu Tang, Sai Wu ยท 2026

Fine-tuning unlocks large language models (LLMs) for specialized applications, but its high computational cost often puts it out of reach for resource-constrained organizations. While cloud platforms โ€ฆ

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An event-based sequence modeling approach to recognizing non-triad chords with oversegmentation minimization

Leekyung Kim, Jonghun Park ยท 2026

Automatic chord recognition (ACR) extracts time-aligned chord labels from music audio recordings. Despite recent advances, ACR still struggles with oversegmentation, data scarcity, and imbalance, espeโ€ฆ

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Understanding and Improving Automated Proof Synthesis for Interactive Theorem Provers

Manqing Zhang, Yunwei Dong, Lingru Zhou, Bingxu Xiao, Yepang Liu ยท 2026

Formal verification using interactive theorem provers ensures high-quality software. However, writing proof scripts for interactive theorem provers is labor-intensive and requires deep expertise. Receโ€ฆ

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RAS: a Reliability Oriented Metric for Automatic Speech Recognition

Wenbin Huang, Yuhang Qiu, Bohan Li, Yiwei Guo, Jing Peng, Hankun Wang, Xie Chen, Kai Yu ยท 2026

Automatic speech recognition systems often produce confident yet incorrect transcriptions under noisy or ambiguous conditions, which can be misleading for both users and downstream applications. Standโ€ฆ

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MEMCoder: Multi-dimensional Evolving Memory for Private-Library-Oriented Code Generation

Mofei Li, Taozhi Chen, Guowei Yang, Jia Li ยท 2026

Large Language Models (LLMs) excel at general code generation, but their performance drops sharply in enterprise settings that rely on internal private libraries absent from public pre-training corporโ€ฆ

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