5 papers
Topological Signatures of Context-Level Reliability in TabPFN
James Hu, Mahdi Ghelichi
TabPFN is a transformer-based foundation model for tabular prediction that performs inference without task-specific training by conditioning on a support set and query inputs. Desp…
Specification Grounding Drives Test Effectiveness for LLM Code
Amin Haeri, Mahdi Ghelichi
Large language models frequently generate code that appears correct on typical inputs yet fails on edge cases, invalid inputs, and other specification-defined corner conditions. A…
Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms
James Hu, Mahdi Ghelichi
Tabular foundation models (TFMs) such as TabPFN (Tabular Prior-Data Fitted Network) are designed to generalize across heterogeneous tabular datasets through in-context learning (IC…
Financial Bond Similarity Search Using Representation Learning
Amin Haeri, Mahdi Ghelichi, Nishant Agrawal +2
Finding similar bonds remains challenging in fixed-income analytics, as numerical financial attributes often overshadow categorical non-financial ones such as issuer sector and dom…
Generative AI Enhanced Financial Risk Management Information Retrieval
Amin Haeri, Jonathan Vitrano, Mahdi Ghelichi
Risk management in finance involves recognizing, evaluating, and addressing financial risks to maintain stability and ensure regulatory compliance. Extracting relevant insights fro…