Vaibhav Shukla

Vaibhav Shukla

Astrophysics MSc with hands-on expertise in scientific ML, generative AI, and data-driven research.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Vision-Language Model Detection of Interstellar Medium Structures

Published in Astronomy & Astrophysics (in preparation; also targeting ADASS XXXVI), 2026

A scalable multimodal ML framework for automated detection and classification of bubble-like ISM structures by fine-tuning open-weight vision-language models on multiwavelength survey data. (In preparation)

Recommended citation: V. Shukla, et al. (in preparation). "Vision-Language Model Detection of Interstellar Medium Structures." Astronomy & Astrophysics.

Conference Papers

An Empirical Exploration of Socioeconomic Linguistic Bias in Text-to-Image Generation

Published in Student Research Workshop (SRW), EACL 2026, 2026

Quantitative analysis of socioeconomic bias in text-to-image models, showing that GPT-5 Image-mini, Gemini 2.5 Flash-Image, and Grok-2 Image tend to produce lighter skin tones for high-income occupations.

Recommended citation: R. G. Maurya, V. Shukla, S. Panat (2026). "An Empirical Exploration of Socioeconomic Linguistic Bias in Text-to-Image Generation." Student Research Workshop, EACL 2026.
Download Paper

Simulating Misinformation Propagation in Social Networks using LLMs

Published in 1st Workshop on LLM Agents for Social Simulation (LASS), ACM CIKM 2025, 2025

An auditor–node framework simulating how biases, ideologies, and cognitive heuristics drive misinformation evolution and factual degradation across networks of persona-LLMs. LASS Outstanding Paper Award.

Recommended citation: R. G. Maurya, V. Shukla, et al. (2025). "Simulating Misinformation Propagation in Social Networks using LLMs." LASS Workshop, ACM CIKM 2025.
Download Paper