Kia Ghods

Publications

* = Equal contribution

  1. “Mechanistic Capability Probes as a Cheap Screen for Sequence-Mixer Architectures” Kia Ghods*, Tharun Kumar Tiruppali Kalidoss*, Elad Hazan Mechanistic Interpretability Workshop at the International Conference on Machine Learning (ICML), 2026.
  2. “GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models” Vartan Shadarevian, Kia Ghods, Alex Kenich, Anany Kotawala Preprint, 2026.
  3. “Continuous Diffusion Transformers for Designing Synthetic Regulatory Elements” Jonathan Liu*, Kia Ghods* Generative AI in Genomics (Gen2) Workshop at the International Conference on Learning Representations (ICLR), 2026.
  4. “Visual serial processing deficits explain divergences in human and VLM reasoning” Nicholas Budny*, Kia Ghods*, Declan Campbell*, Raja Marjieh, Amogh Joshi, Sreejan Kumar, Jonathan D. Cohen, Taylor W. Webb, Thomas L. Griffiths Preprint, 2025.
  5. “Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem” Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor W. Webb Advances in Neural Information Processing Systems (NeurIPS), vol. 37, pp. 113436–113460, 2024.
  6. “Validation of a Multi-Strain HIV Within-Host Model with AIDS Clinical Studies” Necibe Tuncer, Kia Ghods, Vivek Sreejithkumar, Adin Garbowit, Mark Zagha, Maia Martcheva Mathematics, vol. 12, no. 16, article 2583, 2024.
  7. “Modeling the interplay between albumin-globulin metabolism and HIV infection” Vivek Sreejithkumar, Kia Ghods, Tharusha Bandara, Maia Martcheva, Necibe Tuncer Mathematical Biosciences and Engineering, vol. 20, no. 11, pp. 19527–19552, 2023.