Parikshit Ram

Most-cited papers

1. WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models

   Jinghan Jia, Jiancheng Liu, Yihua Zhang, Parikshit Ram +2 more

   2024Neural Information Processing Systems33 citations

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2. Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning

   Chang-Sheng Wang, Yihua Zhang, Jinghan Jia, Parikshit Ram +5 more

   2025International Conference on Machine Learning32 citations

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3. Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills

   Chang-Sheng Wang, Chong-Yu Fan, Yihua Zhang, Jinghan Jia +4 more

   2025Conference on Empirical Methods in Natural Language Processing22 citations

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4. Understanding Forgetting in LLM Supervised Fine-Tuning and Preference Learning - A Convex Optimization Perspective

   H. Fernando, Han Shen, Parikshit Ram, Yi Zhou +3 more

   202412 citations

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5. Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning

   H. Fernando, Han Shen, Parikshit Ram, Yi Zhou +3 more

   2024arXiv.org12 citations

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6. On Learning Representations for Tabular Data Distillation

   Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz +1 more

   2025Trans. Mach. Learn. Res.6 citations

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7. Language Model Representations for Efficient Few-Shot Tabular Classification

   Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz +1 more

   2026The Web Conference3 citations Open access

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8. Byzantine-Resilient Bilevel Federated Learning

   Momin Abbas, Yi Zhou, Nathalie Baracaldo, Horst Samulowitz +2 more

   2024International Conference on Security and Management2 citations

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9. xCloudServing: Automated ML Serving Across Clouds

   M. Lazuka, Andreea Anghel, Parikshit Ram, Haralambos Pozidis +1 more

   2023IEEE International Conference on Cloud Computing2 citations

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10. Mitigating Modality Imbalance in Multi-modal Learning via Multi-objective Optimization

    H. Fernando, Parikshit Ram, Yi Zhou, Soham Dan +3 more

    2025arXiv.org1 citations

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11. SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching

    Inwon Kang, Kavitha Srinivas, Nandana Mihindukulasooriya, Sola Shirai +3 more

    2026Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.20 citations Open access

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12. Balancing Multi-modal Sensor Learning via Multi-objective Optimization

    H. Fernando, Quan Xiao, Parikshit Ram, Yi Zhou +3 more

    20250 citations

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13. On the Utility of Existing Fine-Tuned Models on Data-Scarce Domains

    Md. Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz +1 more

    2025Trans. Mach. Learn. Res.0 citations

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14. On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems

    Md. Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz +1 more

    20240 citations

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