Pilehvar, Mohammad Taher

1. WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations
   2018/08/28 by Mohammad Taher Pilehvar, José Camacho-Collados, Pilehvar, Mohammad Taher +1 · 34 citations
   Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Misinformation and Its Impacts #Sentiment Analysis and Opinion Mining #Topic Modeling
2. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
   2024/06/14 by Junho Myung, Myung, Junho, Nayeon Lee +41 · 45 citations
   Computer Science · #Library Science and Information Systems
3. Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter
   2020/05/01 by Conforti, Costanza, Berndt, Jakob, Pilehvar, Mohammad Taher +3 · 8 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences
4. GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers
   2022/05/06 by Ali Modarressi, Modarressi, Ali, Mohsen Fayyaz +5 · 7 citations
   Neuroscience · Computer Science · #Functional Brain Connectivity Studies #Data Visualization and Analytics #Time Series Analysis and Forecasting
5. Exploring the Role of BERT Token Representations to Explain Sentence\n Probing Results
   2021/04/03 by Hosein Mohebbi, Mohebbi, Hosein, Ali Modarressi +3 · 5 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
6. DecompX: Explaining Transformers Decisions by Propagating Token Decomposition
   2023/06/05 by Modarressi, Ali, Fayyaz, Mohsen, Aghazadeh, Ehsan +2 · 7 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences
7. XL-WiC: A Multilingual Benchmark for Evaluating Semantic\n Contextualization
   2020/10/13 by Alessandro Raganato, Tommaso Pasini, Raganato, Alessandro +5 · 3 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
8. How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy
   2021/09/10 by Rajaee, Sara, Pilehvar, Mohammad Taher · 3 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences
9. On the Role of Text Preprocessing in Neural Network Architectures: An\n Evaluation Study on Text Categorization and Sentiment Analysis
   2017/07/06 by José Camacho-Collados, Mohammad Taher Pilehvar, Camacho-Collados, Jose +1 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining #Topic Modeling
10. From Word to Sense Embeddings: A Survey on Vector Representations of Meaning
    2018/05/10 by Camacho-Collados, Jose, Pilehvar, Mohammad Taher · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
11. A Pragmatic Guide to Geoparsing Evaluation
    2018/10/29 by Gritta, Milan, Pilehvar, Mohammad Taher, Collier, Nigel · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
12. On the Importance of Data Size in Probing Fine-tuned Models
    2022/03/17 by Mehrafarin, Houman, Rajaee, Sara, Pilehvar, Mohammad Taher · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
13. Don't Discard All the Biased Instances: Investigating a Core Assumption\n in Dataset Bias Mitigation Techniques
    2021/09/01 by Hossein Amirkhani, Mohammad Taher Pilehvar, Amirkhani, Hossein +1 · 1 citation
    Computer Science · #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
14. BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning
    2022/11/10 by Mohsen Fayyaz, Fayyaz, Mohsen, Ehsan Aghazadeh +9 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
15. DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias
    2023/10/22 by Mahdi Zakizadeh, Zakizadeh, Mahdi, Kaveh Eskandari Miandoab +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
16. Pun Unintended: LLMs and the Illusion of Humor Understanding
    2025/09/15 by Alessandro Zangari, Zangari, Alessandro, Matteo Marcuzzo +8 · 1 voice · 1 citation
    Computer Science · Psychology · #68T50 #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Humor Studies and Applications #I.2.7 #cs.AI #cs.CL
17. LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
    2024/11/24 by Faridoun Mehri, Mahdieh Soleymani Baghshah, Mehri, Faridoun +3 · 1 citation
    Computer Science · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)