Rohit Gunti

Scholarly Work

  1. Gunti, R. R. (2025). Proposing an Integration Methodology to Customize Large Language Models for Information Services. Conference and Labs of the Evaluation Forum (CLEF 2025), Madrid, Spain. https://clef2025.clef-initiative.eu/resources/Posters_programme_v4.pdf
  2. Karlgren, J., Engels, M. I., Barrett, M., Gunti, R. R., Hoveyda, M., Sotic, B. N., Kamps, J., Koistinen, M., Zosa, E. (2025). Overview of Robustness and Consistency Task of the ELOQUENT 2025 Lab for Evaluating Generative Language Model Quality. In Working notes of the Conference and Labs of the Evaluation Forum (CLEF 2025) (pp. 1305-1318). CLEF. Madrid, Spain, 9–12 September. (Preprint)
  3. Gunti, R. R., Rorissa, A. (2025). Evaluating the Performance of the Finetuned Quantized Llama 3 Based on Relevance, Truthfulness, Naturalness, and Safety. In Working notes of the Conference and Labs of the Evaluation Forum (CLEF 2025) (pp. 1399-1405). CLEF. Madrid, Spain, 9–12 September. (Preprint)
  4. Gunti, R. R. (2025). The Distinctive Data-Centric Approach for the Voight Kampff Task. In Working notes of the Conference and Labs of the Evaluation Forum (CLEF 2025) (pp. 1389-1398). CLEF. Madrid, Spain, 9–12 September. (Preprint)
  5. Gunti, R. R., & Rorissa, A. (2024). Evaluating the ResNet and DenseNet models for birdcall audio classification. In Proceedings of the World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4 2024) (pp. 123-130). London, UK: WorldS4. https://doi.org/10.1007/978-981-97-8695-4_17
  6. Gunti, R. (2023). The future of AI at UT. CCI Research & Innovation Center. https://cci.utk.edu/ric/2023/10/20/the-future-of-ai-at-ut/
  7. Rohit Raj Gunti, & Abebe Rorissa. (2023). Calculating the Effectiveness of RCNN-based Coral Reef Classification. https://doi.org/10.5281/zenodo.7770568
  8. Gunti, R. R., & Rorissa, A. (2023). A Dual of Stacked Attention Networks (SAN’s) and VGG-16 Model-Based Visual Question Answering Evaluation. In M. Ali-annejadi, G. Faggioli, N. Ferro, & M. Vlachos (Eds.), Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023) (Vol. 3497, pp. 1478–1487). CEUR. https://dblp.org/rec/conf/clef/GuntiR23.html
  9. Rohit, G., & Abebe, R. (2022). A Dual Convolutional Neural Networks and regression model based Coral Reef Annotation and Localization. CLEF 2022 Working Notes, 1396–1412. https://dblp.org/rec/conf/clef/GuntiR22.html
  10. Gunti, R., & Rorissa, A. (2021). A Convolutional Neural Networks based Coral Reef Annotation and Localization. https://api.semanticscholar.org/CorpusID:237298716