Parikshit Ram

Venues

Frequent coauthors

Papers

1. Language Model Representations for Efficient Few-Shot Tabular Classification
   WWW 2026 ·

   Inwon Kang

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2. Dense Associative Memory with Epanechnikov Energy
   NeurIPS 2025 ·

   Benjamin Hoover

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3. Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
   ICML 2025 ·

   Changsheng Wang

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4. Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations
   AAAI 2025 ·

   Stephen Carrow

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5. Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
   EMNLP 2025 ·

   Changsheng Wang

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6. Transformers Learn Faster with Semantic Focus
   NeurIPS 2025 · Parikshit Ram
7. Dense Associative Memory Through the Lens of Random Features
   NeurIPS 2024 ·

   Benjamin Hoover

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8. Effective Data Distillation for Tabular Datasets (Student Abstract)
   AAAI 2024 ·

   Inwon Kang

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9. Enhancing In-context Learning via Linear Probe Calibration
   AISTATS 2024 ·

   Momin Abbas

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10. WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
    NeurIPS 2024 ·

    Jinghan Jia

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11. What Makes Models Compositional? A Theoretical View
    IJCAI 2024 · Parikshit Ram