Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH-LSTM based Approach. - Kshitij Kakade; Aswini Kumar Mishra; Kshitish Ghate; Shivang Gupta (Intell. Syst. Account. Finance Manag., 2022)

Self-SLAM: A Self-supervised Learning Based Annotation Method to Reduce Labeling Overhead. - Alfiya M. Shaikh; Hrithik Nambiar; Kshitish Ghate; Swarnali Banik; Sougata Sen; Surjya Ghosh; Vaskar Raychoudhury; Niloy Ganguly; Snehanshu Saha (ECML/PKDD (9), 2024)

Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models. - Vishruth Veerendranath; Vishwa Shah; Kshitish Ghate (SemEval@NAACL, 2024)

REALM: A Dataset of Real-World LLM Use Cases. - Jingwen Cheng; Kshitish Ghate; Wenyue Hua; William Yang Wang; Hong Shen 004; Fei Fang 001 (ACL (Findings), 2025)

Biases Propagate in Encoder-based Vision-Language Models: A Systematic Analysis From Intrinsic Measures to Zero-shot Retrieval Outcomes. - Kshitish Ghate; Tessa Charlesworth; Mona T. Diab; Aylin Caliskan (ACL (Findings), 2025)

Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders. - Kshitish Ghate; Isaac Slaughter; Kyra Wilson; Mona T. Diab; Aylin Caliskan (NAACL (Long Papers), 2025)