publications

2026

1. AAAI

   IMPACT: Integrated Multimodal Pipeline for Accident Tracking

   Vashu Chauhan and others

   In Proceedings of the AAAI Conference on Artificial Intelligence (Student Abstract), 2026

   Abs Bib

   A multimodal pipeline that combines vision and language models for real-time traffic accident tracking and situational awareness.

   @inproceedings{chauhan2026impact,
     title = {IMPACT: Integrated Multimodal Pipeline for Accident Tracking},
     author = {Chauhan, Vashu and others},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (Student Abstract)},
     year = {2026},
   }

2. ICML

   Scaling Controllable Modeling via Self-Evolving Feature Engineering

   Varun Khurana, Vashu Chauhan, and others

   International Conference on Machine Learning (Under Review), 2026

   Abs Bib

   Proposes FEST (Feature Engineering with Self-evolving Trees), a principled framework for automated, interpretable feature engineering that recovers expert-level feature coverage on structured and unstructured data.

   @article{khurana2026fest,
     title = {Scaling Controllable Modeling via Self-Evolving Feature Engineering},
     author = {Khurana, Varun and Chauhan, Vashu and others},
     journal = {International Conference on Machine Learning (Under Review)},
     year = {2026},
   }

3. ECCV

   Traffic Accident Causality Reasoning

   Vashu Chauhan and others

   European Conference on Computer Vision (Under Review), 2026

   Abs Bib

   Addresses causal reasoning for traffic accident analysis using multimodal evidence, combining structured scene understanding with language-based causal inference.

   @article{chauhan2026eccv,
     title = {Traffic Accident Causality Reasoning},
     author = {Chauhan, Vashu and others},
     journal = {European Conference on Computer Vision (Under Review)},
     year = {2026},
   }

2025

1. EMNLP

   Mind the Query: A Benchmark Dataset Towards Text2Cypher Task

   Vashu Chauhan and others

   In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

   Abs Bib

   We introduce a benchmark dataset and evaluation framework for the Text2Cypher task, enabling natural language interfaces over graph databases. The work was nominated for Best Paper Award (Industry Track) at EMNLP 2025.

   @inproceedings{chauhan2025mindquery,
     title = {Mind the Query: A Benchmark Dataset Towards Text2Cypher Task},
     author = {Chauhan, Vashu and others},
     booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
     year = {2025},
   }