Dilshod Azizov

According to our database, Dilshod Azizov authored at least 22 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis.

Muhammad Arslan Manzoor, Dilshod Azizov, Daniil Orel, Umer Siddique, Zain Muhammad Mujahid, Yufang Hou, Preslav Nakov

CoRR, May, 2026

AICD Bench: A Challenging Benchmark for AI-Generated Code Detection.

Daniil Orel, Dilshod Azizov, Indraneil Paul, Yuxia Wang, Iryna Gurevych, Preslav Nakov

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

CoTaP: Compliant Task Pipeline and Reinforcement Learning of Its Controller with Compliance Modulation.

Zewen He, Chenyuan Chen, Dilshod Azizov, Yoshihiko Nakamura

CoRR, September, 2025

Evolution of AI in Education: Agentic Workflows.

Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif

CoRR, April, 2025

MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media.

Muhammad Arslan Manzoor, Ruihong Zeng, Dilshod Azizov, Preslav Nakov, Shangsong Liang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

L4: Mutual Learning Helps Lifelong Language Learning.

Jiyong Li, Dilshod Azizov, Shangsong Liang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages.

Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana, Noor Ahsan, Nevasini Sasikumar, Omkar Thawakar, Henok Biadglign Ademtew, Yahya Hmaiti, Amandeep Kumar, Kartik Kuckreja, Mykola Maslych, Wafa Al Ghallabi, Mihail Minkov Mihaylov, Chao Qin, Abdelrahman M. Shaker, Mike Zhang, Mahardika Krisna Ihsani, Amiel Gian Esplana, Monil Gokani, Shachar Mirkin, Harsh Singh, Ashay Srivastava, Endre Hamerlik, Fathinah Asma Izzati, Fadillah Adamsyah Maani, Sebastian Cavada, Jenny Chim, Rohit Gupta, Sanjay Manjunath, Kamila Zhumakhanova, Feno Heriniaina Rabevohitra, Azril Hafizi Amirudin, Muhammad Ridzuan, Daniya Najiha Abdul Kareem, Ketan Pravin More, Kunyang Li, Pramesh Shakya, Muhammad Saad, Amirpouya Ghasemaghaei, Amirbek Djanibekov, Dilshod Azizov, Branislava Jankovic, Naman Bhatia, Alvaro Cabrera, Johan S. Obando-Ceron, Olympiah Otieno, Fabian Farestam, Muztoba Rabbani, Sanoojan Baliah, Santosh Sanjeev, Abduragim Shtanchaev, Maheen Fatima, Thao Nguyen, Amrin Kareem, Toluwani Aremu, Nathan Augusto Zacarias Xavier, Amit Bhatkal, Hawau Olamide Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman H. Khan, Fahad Shahbaz Khan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings.

Daniil Orel, Dilshod Azizov, Preslav Nakov

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts.

Zain Muhammad Mujahid, Dilshod Azizov, Maha Tufail Agro, Preslav Nakov

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A Decade of Deep Learning: A Survey on The Magnificent Seven.

Dilshod Azizov, Muhammad Arslan Manzoor, Velibor Bojkovic, Yingxu Wang, Zixiao Wang, Zangir Iklassov, Kailong Zhao, Liang Li, Siwei Liu, Yu Zhong, Wei Liu, Shangsong Liang

CoRR, 2024

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages.

Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana, Noor Ahsan, Nevasini Sasikumar, Omkar Thawakar, Henok Biadglign Ademtew, Yahya Hmaiti, Amandeep Kumar, Kartik Kuckreja, Mykola Maslych, Wafa Al Ghallabi, Mihail Mihaylov, Chao Qin, Abdelrahman M. Shaker, Mike Zhang, Mahardika Krisna Ihsani, Amiel Esplana, Monil Gokani, Shachar Mirkin, Harsh Singh, Ashay Srivastava, Endre Hamerlik, Fathinah Asma Izzati, Fadillah Adamsyah Maani, Sebastian Cavada, Jenny Chim, Rohit Gupta, Sanjay Manjunath, Kamila Zhumakhanova, Feno Heriniaina Rabevohitra, Azril Amirudin, Muhammad Ridzuan, Daniya Kareem, Ketan More, Kunyang Li, Pramesh Shakya, Muhammad Saad, Amirpouya Ghasemaghaei, Amirbek Djanibekov, Dilshod Azizov, Branislava Jankovic, Naman Bhatia, Alvaro Cabrera, Johan S. Obando-Ceron, Olympiah Otieno, Fabian Farestam, Muztoba Rabbani, Sanoojan Baliah, Santosh Sanjeev, Abduragim Shtanchaev, Maheen Fatima, Thao Nguyen, Amrin Kareem, Toluwani Aremu, Nathan A. Z. Xavier, Amit Bhatkal, Hawau Olamide Toyin, Aman Chadha, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Jorma Laaksonen, Thamar Solorio, Monojit Choudhury, Ivan Laptev, Mubarak Shah, Salman Khan, Fahad Khan

CoRR, 2024

SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles.

Dilshod Azizov, Zain Muhammad Mujahid, Hilal AlQuabeh, Preslav Nakov, Shangsong Liang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation.

Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition.

Jiyong Li, Dilshod Azizov, Hilal AlQuabeh, Shangsong Liang

Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification.

Dilshod Azizov, Jiyong Li, Shangsong Liang

Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

Frank at ArAIEval Shared Task: Arabic Persuasion and Disinformation: The Power of Pretrained Models.

Dilshod Azizov, Jiyong Li, Shangsong Liang

Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority.

Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli, Giovanni Da San Martino, Tamer Elsayed, Andrea Galassi, Fatima Haouari, Federico Ruggeri, Julia Maria Struß, Rabindra Nath Nandi, Gullal S. Cheema, Dilshod Azizov, Preslav Nakov

Proceedings of the Advances in Information Retrieval, 2023

Overview of the CLEF-2023 CheckThat! Lab Task 4 on Factuality of Reporting of News Media.

Preslav Nakov, Firoj Alam, Giovanni Da San Martino, Maram Hasanain, Dilshod Azizov, Rabindra Nath Nandi, Panayot Panayotov

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of the CLEF-2023 CheckThat! Lab Task 3 on Political Bias of News Articles and News Media.

Giovanni Da San Martino, Firoj Alam, Maram Hasanain, Rabindra Nath Nandi, Dilshod Azizov, Preslav Nakov

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of the CLEF-2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source.

Alberto Barrón-Cedeño, Firoj Alam, Andrea Galassi, Giovanni Da San Martino, Preslav Nakov, Tamer Elsayed, Dilshod Azizov, Tommaso Caselli, Gullal S. Cheema, Fatima Haouari, Maram Hasanain, Mücahid Kutlu, Chengkai Li, Federico Ruggeri, Julia Maria Struß, Wajdi Zaghouani

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media.

Dilshod Azizov, Preslav Nakov, Shangsong Liang

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports.

Dilshod Azizov, Jiyong Li, Hilal AlQuabeh, Shangsong Liang

Proceedings of the IEEE International Conference on Big Data, 2023