publications

2026

1. EMNLP

   SHARD: Safe and Helpful Alignment via Self-Reframing Distillation

   V. Manoranjan, Amogh Gupta, A. R. Vijjini, and 2 more authors

   

   In Findings of the Association for Computational Linguistics: EMNLP 2026, 2026

   Abs arXiv Bib

   Large language models often struggle with sensitive prompts. They may refuse outright, provide generic safety boilerplate, or fail to address the user’s legitimate informational needs that can be answered safely. We introduce SHARD, a self-reframing distillation method to improve safe-helpfulness.

   @inproceedings{manoranjan2026shard,
     title = {SHARD: Safe and Helpful Alignment via Self-Reframing Distillation},
     author = {Manoranjan, V. and Gupta, Amogh and Vijjini, A. R. and Hofweber, T. and Chaturvedi, S.},
     booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2026},
     year = {2026},
   }

2. FAccT

   Compounding Disadvantage: Auditing Intersectional Bias in LLM-Generated Explanations Across Indian and American STEM Education

   Amogh Gupta, N. R. Patil, S. Ghosh, and 1 more author

   

   In Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2026

   Abs arXiv Bib

   We audit intersectional bias in AI-generated explanations across Indian and American STEM educational contexts, showing how disadvantages compound across language, caste, and social context rather than simply adding up.

   @inproceedings{gupta2026compounding,
     title = {Compounding Disadvantage: Auditing Intersectional Bias in LLM-Generated Explanations Across Indian and American STEM Education},
     author = {Gupta, Amogh and Patil, N. R. and Ghosh, S. and Gaikwad, S. N. S.},
     booktitle = {Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT)},
     pages = {6093--6155},
     year = {2026},
     publisher = {Association for Computing Machinery},
   }

2024

1. INDISCON

   YOLOv8 Based Detection of Fall Armyworm in Field Crops

   P. Mhala, Amogh Gupta, and S. Sharma

   In 2024 IEEE 5th India Council International Subsections Conference (INDISCON), 2024

   Bib

   @inproceedings{mhala2024yolov8,
     title = {YOLOv8 Based Detection of Fall Armyworm in Field Crops},
     author = {Mhala, P. and Gupta, Amogh and Sharma, S.},
     booktitle = {2024 IEEE 5th India Council International Subsections Conference (INDISCON)},
     pages = {1--6},
     year = {2024},
     publisher = {IEEE}
   }

2. ICIT

   Automated Animal Intrusion Detection: A Deep Learning Approach

   Amogh Gupta, S. Sharma, and M. Mangal

   In International Conference on Information Technology, 2024

   Bib

   @inproceedings{gupta2024animal,
     title = {Automated Animal Intrusion Detection: A Deep Learning Approach},
     author = {Gupta, Amogh and Sharma, S. and Mangal, M.},
     booktitle = {International Conference on Information Technology},
     pages = {195--208},
     year = {2024}
   }

3. Preprint

   Traffic Sign Sensing: A Deep Learning Approach for Enhanced Road Safety

   Amogh Gupta, P. Mhala, M. Mangal, and 2 more authors

   Research Square preprint, 2024

   DOI Bib HTML

   @article{gupta2024traffic,
     title = {Traffic Sign Sensing: A Deep Learning Approach for Enhanced Road Safety},
     author = {Gupta, Amogh and Mhala, P. and Mangal, M. and Yadav, K. and Sharma, S.},
     journal = {Research Square preprint},
     year = {2024},
     doi = {10.21203/rs.3.rs-3889986/v1},
   }