publications

2023

1. EMNLP

   MaNtLE: Model-agnostic Natural Language Explainer

   Rakesh R Menon, Kerem Zaman, and Shashank Srivastava

   Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023, 2023

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2. EMNLP

   Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion

   Kerem Zaman, Leshem Choshen, and Shashank Srivastava

   2023

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2022

1. CVPR

   Rank in Style: A Ranking-based Approach to Find Interpretable Directions

   Umut Kocasari*, Kerem Zaman*, Mert Tiftikci*, and 2 more authors

   2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022

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2. EMNLP

   A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference

   Kerem Zaman, and Yonatan Belinkov

   Dec 2022

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   Most evaluations of attribution methods focus on the English language. In this work, we present a multilingual approach for evaluating attribution methods for the Natural Language Inference (NLI) task in terms of faithfulness and plausibility. First, we introduce a novel cross-lingual strategy to measure faithfulness based on word alignments, which eliminates the drawbacks of erasure-based evaluations. We then perform a comprehensive evaluation of attribution methods, considering different output mechanisms and aggregation methods. Finally, we augment the XNLI dataset with highlight-based explanations, providing a multilingual NLI dataset with highlights, to support future exNLP studies. Our results show that attribution methods performing best for plausibility and faithfulness are different.

2020

1. SIU

   BURST: Software and Simulation Solutions of an Autonomous Vehicle

   Fatih Kose, Ibrahim Ozcan, Melih Dal, and 5 more authors

   2020 28th Signal Processing and Communications Applications Conference (SIU), Dec 2020