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Author

Chetan Arora

6 papers indexed here

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Review Open access Aug 2026

A systematic review of emotional nonverbal cues in embodied virtual agents for virtual environments

Embodied virtual agents (EVAs) are increasingly deployed in immersive virtual environments, where their nonverbal cues serve as a primary channel for affective communication. However, systematic evidence on how these nonverbal cues shape users’ emotional perception in virtual environments remains limited and disperse...

Jing-Jing Zhang, Yi Wang, Hai-Yan Han et al. · 0 citations
Sep 2026

The role of grammar in transformer encoders: Does it really matter for language understanding process?

Transformer-based methods achieve strong performance on language understanding tasks, yet the role of grammar in encoder representations remains insufficiently explained. While decoder-only models implicitly learn language structure through next-token prediction, encoder-only models still dominate many classification a...

Fan-Yu Wang, Chetan Arora, Zhen-Ping Xie · 0 citations
Jul 2026

SkillGate: Cost Efficient Runtime Malicious Skill File Detection in Coding Agents

SkillGate, a deployable security gateway that screens AI skill packages before coding agent installation is presented, and four research questions covering detection effectiveness, screening cost, runtime overhead, and false positive behavior on the SkillsBench benchmark against two existing tools are answered.

Rui Yang, Michael Fu, C. Tantithamthavorn et al. · 1 citation
Preprint Aug 2026

Human-AI Collaboration in Requirements Engineering: Evidence of the Negative Effect of LLMs on Requirements Inspection

The findings provide empirical evidence that LLM support does not necessarily improve performance and may, instead, hinder it for novice inspectors, and suggest that learning RI with LLM-support from the beginning may slow down the skill acquisition process.

Giovanna Broccia, Julian Frattini, Chetan Arora et al. · 0 citations
Preprint Aug 2026

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software

This paper introduces Requirements-Augmented Generation (REAG), which interprets user intentions by retrieving relevant software requirements, domain knowledge, and personas via adaptive RAG and self-reasoning to generate context-aware test oracles, and introduces a confidence-calibrated cascade judgment, which quantif...

Fan-Yu Wang, Chetan Arora, Zhen-Ping Xie et al. · 0 citations
Preprint Aug 2026

Towards a Risk Assessment of Malicious Skill Files in Coding Agents

An adversarial skill-synthesis method using six LLMs across four families to transform 471 real-world shell commands into benign-appearing skills, released as a benchmark of 2,826 skills mapped to 11 MITRE ATT&CK tactics.

Rui Yang, Michael Fu, Kla Tantithamthavorn et al. · 0 citations

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