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Mayank Agarwal

Granite Code Models: A Family of Open Foundation Models for Code Intelligence

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May 07, 2024
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Aligners: Decoupling LLMs and Alignment

Mar 11, 2024
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Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models

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Jan 19, 2024
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Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations

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Nov 13, 2023
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An Investigation of Representation and Allocation Harms in Contrastive Learning

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Oct 02, 2023
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Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness

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Mar 01, 2023
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Geometry-biased Transformers for Novel View Synthesis

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Jan 11, 2023
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Investigating Explainability of Generative AI for Code through Scenario-based Design

Feb 10, 2022
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On sensitivity of meta-learning to support data

Oct 26, 2021
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Using Document Similarity Methods to create Parallel Datasets for Code Translation

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Oct 11, 2021
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