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Sajjad, Hassan

  1. What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models
    2018/12/21 by Dalvi, Fahim, Durrani, Nadir, Sajjad, Hassan +3 · 10 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  2. Analyzing Individual Neurons in Pre-trained Language Models
    2020/10/06 by Durrani, Nadir, Sajjad, Hassan, Dalvi, Fahim +1 · 9 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  3. Representation Noising: A Defence Mechanism Against Harmful Finetuning
    2024/05/23 by Domenic Rosati, J.M. Wehner, Rosati, Domenic +17 · 15 citations
    Decision Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management
  4. Identifying and Controlling Important Neurons in Neural Machine Translation
    2018/11/03 by Anthony Bau, Yonatan Belinkov, Bau, Anthony +9 · 9 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  5. SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations
    2024/06/17 by Sri Harsha Dumpala, Aman Jaiswal, Dumpala, Sri Harsha +9 · 10 citations
    Computer Science · Psychology · #68T45 #68T50 #Advanced Image and Video Retrieval Techniques #Categorization, perception, and language #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2.10 #I.2.7 #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  6. Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation
    2018/06/10 by Dalvi, Fahim, Durrani, Nadir, Sajjad, Hassan +1 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  7. Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form QA
    2024/08/17 by Sher Badshah, Badshah, Sher, Hassan Sajjad +1 · 7 citations
    Social Sciences · #68T07 #68T20 #68T50 #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Comparative and International Law Studies #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.0 #I.2.2 #I.2.7 #Legal Education and Practice Innovations
  8. Immunization against harmful fine-tuning attacks
    2024/02/26 by Rosati, Domenic, Wehner, Jan, Williams, Kai +4 · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  9. Discovering Latent Concepts Learned in BERT
    2022/05/15 by Fahim Dalvi, Dalvi, Fahim, Abdul Rafae Khan +9 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  10. Discovering Salient Neurons in Deep NLP Models
    2022/06/27 by Nadir Durrani, Durrani, Nadir, Fahim Dalvi +3 · 3 citations
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution #Natural Language Processing Techniques #Topic Modeling
  11. Quantifying the Capabilities of LLMs across Scale and Precision
    2024/05/06 by Sher Badshah, Badshah, Sher, Hassan Sajjad +1 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
  12. Understanding Types of Users on Twitter
    2014/06/05 by Muhammad Moeen Uddin, Uddin, Muhammad Moeen, Muhammad Imran +3 · 2 citations
    Computer Science · Social Sciences · #Spam and Phishing Detection #Sentiment Analysis and Opinion Mining #Misinformation and Its Impacts
  13. Data-centric Prediction Explanation via Kernelized Stein Discrepancy
    2024/03/22 by Mahtab Sarvmaili, Hassan Sajjad, Sarvmaili, Mahtab +3 · 2 citations
    Computer Science · #Machine Learning in Healthcare #Generative Adversarial Networks and Image Synthesis #AI in cancer detection
  14. NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks
    2018/12/21 by Dalvi, Fahim, Nortonsmith, Avery, Bau, D. Anthony +4 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  15. CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing
    2020/04/14 by Alam, Firoj, Sajjad, Hassan, Imran, Muhammad +1 · 1 citation
    #68T50 #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #I.2.7 #Information Retrieval (cs.IR) #Social and Information Networks (cs.SI)
  16. Similarity Analysis of Contextual Word Representation Models
    2020/05/03 by Wu, John M., Belinkov, Yonatan, Sajjad, Hassan +3 · 1 citation
    #68T50 #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7
  17. Latent Concept-based Explanation of NLP Models
    2024/04/18 by Yu, Xuemin, Dalvi, Fahim, Durrani, Nadir +2 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  18. Impact of Adversarial Training on Robustness and Generalizability of Language Models
    2022/11/10 by Enes Altınışık, Hassan Sajjad, Altinisik, Enes +7 · 1 citation
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Adversarial Robustness in Machine Learning
  19. ConceptX: A Framework for Latent Concept Analysis
    2022/11/12 by Alam, Firoj, Dalvi, Fahim, Durrani, Nadir +3 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  20. Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach
    2024/08/14 by Saeed, Muhammad Saad, Nawaz, Shah, Zaheer, Muhammad Zaigham +6 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  21. VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations
    2024/04/25 by Dumpala, Sri Harsha, Jaiswal, Aman, Sastry, Chandramouli +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  22. Interpreting the Effects of Quantization on LLMs
    2025/08/22 by Singh, Manpreet, Sajjad, Hassan · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Analyzing Redundancy in Pretrained Transformer Models
    2020/04/08 by Dalvi, Fahim, Sajjad, Hassan, Durrani, Nadir +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. Instance-Level Difficulty: A Missing Perspective in Machine Unlearning
    2024/10/03 by Rizwan, Hammad, Sarvmaili, Mahtab, Sajjad, Hassan +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  25. Evaluating Defences against Unsafe Feedback in RLHF
    2024/09/19 by Rosati, Domenic, Edkins, Giles, Raj, Harsh +5 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts
    2024/10/16 by Dumpala, Sri Harsha, Jaiswal, Aman, Sastry, Chandramouli +3 · 1 citation
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Seeing Syntax: Uncovering Syntactic Learning Limitations in Vision-Language Models
    2024/12/11 by Dumpala, Sri Harsha, Arps, David, Oore, Sageev +2 · 1 citation
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. NeuroX Library for Neuron Analysis of Deep NLP Models
    2023/05/26 by Dalvi, Fahim, Sajjad, Hassan, Durrani, Nadir · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  29. How transfer learning impacts linguistic knowledge in deep NLP models?
    2021/05/31 by Durrani, Nadir, Sajjad, Hassan, Dalvi, Fahim · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences