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Computer Science Preprint PDF DOI

Indirect Prompt Injection in the Wild: An Empirical Study of Prevalence, Techniques, and Objectives

Soheil Khodayari, Xuenan Zhang, Bhupendra Acharya, Giancarlo Pellegrino · 2026

As LLMs are increasingly integrated into systems that browse, retrieve, summarize, and act on web content, webpages have become an untrusted input vector for downstream model behavior. This enables si…

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Computer Science Preprint PDF DOI

Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows

Sajel Surati, Rosanna Bellini, Emily Black · 2026

When generative AI (genAI) systems are used in high-stakes decision-making, its recommended role is to aid, rather than replace, human decision-making. However, there is little empirical exploration o…

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Engineering Preprint PDF DOI

HiPAN: Hierarchical Posture-Adaptive Navigation for Quadruped Robots in Unstructured 3D Environments

Jeil Jeong, Minsung Yoon, Seokryun Choi, Heechan Shin, Taegeun Yang, Sung-eui Yoon · 2026

Navigating quadruped robots in unstructured 3D environments poses significant challenges, requiring goal-directed motion, effective exploration to escape from local minima, and posture adaptation to t…

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Computer Science Preprint PDF DOI

Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent

Zhentao Xu, Shangjing Zhang, Emir Poyraz, Yvonne Li, Ye Jin, Xie Lu, Xiaoyang Gu, Karthik Ramgopal, Praveen Kumar Bodigutla, Xiaofeng Wang · 2026

Large Language Model (LLM) agents are increasingly used in real-world products, where personalized and context-aware user interactions are essential. A central enabler of such capabilities is the agen…

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Computer Science Preprint PDF DOI

UCSC-NLP at SemEval-2026 Task 13: Multi-View Generalization and Diagnostic Analysis of Machine-Generated Code Detection

Kargi Chauhan, Sadiba Nusrat Nur · 2026

With the rapid growth of large language models for code generation, distinguishing between human-written and AI-generated code has become increasingly critical for academic integrity, hiring evaluatio…

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Computer Science Preprint PDF DOI

How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications

Gauri Sharma, Maryam Molamohammadi · 2026

The increasing adoption of AI systems in hiring has raised concerns about algorithmic bias and accountability, prompting regulatory responses including the EU AI Act, NYC Local Law 144, and Colorado's…

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Computer Science Preprint PDF DOI

Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring

Huy Nghiem, Phuong-Anh Nguyen-Le, Sy-Tuyen Ho, Hal Daume III · 2026

Research has documented LLMs' name-based bias in hiring and salary recommendations. In this paper, we instead consider a setting where LLMs generate candidate summaries for downstream assessment. In a…

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Education Preprint PDF DOI

The Research Guide: From Informal Role to Profession

Sergey V. Samsonau, Matthew Pearce · 2026

Guiding others through authentic scientific research outside of PhD programs has been practiced for decades in specialized secondary schools, undergraduate research programs, and independent settings.…

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AI & Data Science Preprint PDF DOI

HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution

Hanhua Hong, Yizhi LI, Jiaoyan Chen, Sophia Ananiadou, Xiaoli Li, Jung-jae Kim, Chenghua Lin · 2026

Recent advances in large language models have highlighted their potential to automate computational research, particularly reproducing experimental results. However, existing approaches still use fixe…

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Economics & Finance Preprint PDF DOI

Decision Traces: What Multi-System Data Fusion Reveals About Institutional Knowledge in Enterprise Hiring

Saad Bin Shafiq · 2026

Enterprise hiring systems generate data across multiple disconnected platforms: applicant tracking systems (ATS) record candidate profiles, human resource information systems (HRIS) record performance…

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AI & Data Science Preprint PDF DOI

DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair Training

Ziwen Pan, Zihan Liang, Jad Kabbara, Ali Emami · 2026

Large language models (LLMs) tuned for safety often avoid acknowledging demographic differences, even when such acknowledgment is factually correct (e.g., ancestry-based disease incidence) or contextu…

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Mathematics Preprint PDF DOI

Lyapunov Unstable Motion Bifurcating from a Circular Vortex Filament

Masashi Aiki, Mitsuo Higaki · 2026

This paper investigates the dynamics of closed vortex filaments in $\R^3$ governed by the Localized Induction Equation. Recently, Aiki and Higaki (2026) established the nonlinear orbital stability of …

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AI & Data Science Preprint PDF DOI

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies

Myke C. Cohen, Mingqian Zheng, Neel Bhandari, Hsien-Te Kao, Xuhui Zhou, Daniel Nguyen, Laura Cassani, Maarten Sap, Svitlana Volkova · 2026

AI design characteristics and human personality traits each impact the quality and outcomes of human-AI interactions. However, their relative and joint impacts are underexplored in imperfectly coopera…

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AI & Data Science Preprint PDF DOI

The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows

Hyunwoo Kim, Harin Yu, Hanau Yi · 2026

The rapid integration of large language models (LLMs) into everyday workflows has transformed how individuals perform cognitive tasks such as writing, programming, analysis, and multilingual communica…

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Computer Science Preprint PDF DOI

CAMP: Cumulative Agentic Masking and Pruning for Privacy Protection in Multi-Turn LLM Conversations

Aman Panjwani · 2026

The deployment of Large Language Models in agentic, multi-turn conversational settings has introduced a class of privacy vulnerabilities that existing protection mechanisms are not designed to address…

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AI & Data Science Preprint PDF DOI

A Statistical Market-Design Framework for Academic Job Markets

Ali Kaazempur-Mofrad, Xiaowu Dai, Xuming He · 2026

The academic job market for new statisticians is highly congested at the interview stage, where departments must rank and select candidates from large applicant pools without credible signals of candi…

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AI & Data Science Preprint PDF DOI

Identifying and Mitigating Gender Cues in Academic Recommendation Letters: An Interpretability Case Study

Charlotte S. Alexander, Shane Storks, Souradip Pal, Sayak Chakrabarty, Arushi Sharma, Mlen-Too Wesley, Bailey Russo · 2026

Letters of recommendation (LoRs) can carry patterns of implicitly gendered language that can inadvertently influence downstream decisions, e.g. in hiring and admissions. In this work, we investigate t…

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AI & Data Science Preprint PDF DOI

BITS Pilani at SemEval-2026 Task 9: Structured Supervised Fine-Tuning with DPO Refinement for Polarization Detection

Atharva Gupta, Dhruv Kumar, Yash Sinha · 2026

The POLAR SemEval-2026 Shared Task aims to detect online polarization and focuses on the classification and identification of multilingual, multicultural, and multi-event polarization. Accurate comp…

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Computer Science Preprint PDF DOI

Measuring Creativity in the Age of Generative AI: Distinguishing Human and AI-Generated Creative Performance in Hiring and Talent Systems

Yigal Rosen, Ilia Rushkin · 2026

Generative AI is rapidly transforming how organizations create value and evaluate talent. While large language models enhance baseline output quality, they simultaneously introduce ambiguity in assess…

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Mathematics Preprint PDF DOI

Negative curvature obstructs the existence of good barriers for interior-point methods

Christopher Criscitiello, Harold Nieuwboer, Michael Walter · 2026

Interior-point methods (IPMs) are a cornerstone of Euclidean convex optimization, due to their strong theoretical guarantees and practical performance. Motivated by scaling problems, recent work by Hi…

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