Kshitish Ghate

According to our database, Kshitish Ghate authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

EVALUESTEER: Measuring Reward Model Steerability Towards Values and Preferences.

Kshitish Ghate, Andy Liu, Devansh Jain, Taylor Sorensen, Atoosa Kasirzadeh, Aylin Caliskan, Mona T. Diab, Maarten Sap

CoRR, October, 2025

Generative Value Conflicts Reveal LLM Priorities.

Andy Liu, Kshitish Ghate, Mona T. Diab, Daniel Fried, Atoosa Kasirzadeh, Max Kleiman-Weiner

CoRR, September, 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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

REALM: A Dataset of Real-World LLM Use Cases.

Jingwen Cheng, Kshitish Ghate, Wenyue Hua, William Yang Wang, Hong Shen, Fei Fang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

2022

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