Preslav Nakov

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 450

Top Venues

Publications

Fajri Koto, Haonan Li, Sara Shatnawi, Jad Doughman, Abdelrahman Boda Sadallah, Aisha Alraeesi, Khalid Almubarak, Zaid Alyafeai, Neha Sengupta, Shady Shehata, Nizar Habash, Preslav Nakov, Timothy Baldwin
ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic. CoRR (2024)
Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych
Missci: Reconstructing Fallacies in Misrepresented Science. ACL (1) (2024)
Petar Ivanov, Ivan Koychev, Momchil Hardalov, Preslav Nakov
Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data. ICASSP (2024)
Yuxia Wang, Minghan Wang, Preslav Nakov
Rethinking STS and NLI in Large Language Models. EACL (Findings) (2024)
Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. CoRR (2024)
Arnav Arora, Preslav Nakov, Momchil Hardalov, Sheikh Muhammad Sarwar, Vibha Nayak, Yoan Dinkov, Dimitrina Zlatkova, Kyle Dent, Ameya Bhatawdekar, Guillaume Bouchard, Isabelle Augenstein
Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go. ACM Comput. Surv. 56 (3) (2024)
Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. ACL (Findings) (2024)
Samyak Jain, Parth Chhabra, Atula Tejaswi Neerkaje, Puneet Mathur, Ramit Sawhney, Shivam Agarwal, Preslav Nakov, Sudheer Chava, Dinesh Manocha
Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction. LREC/COLING (2024)
Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, Akim Tsvigun, Daniil Vasilev, Rui Xing, Abdelrahman Boda Sadallah, Lyudmila Rvanova, Sergey Petrakov, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov, Artem Shelmanov
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. CoRR (2024)
Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. ACL (Findings) (2024)
Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee
Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models. CoRR (2024)
Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Georgi Georgiev, Rocktim Jyoti Das, Preslav Nakov
Factuality of Large Language Models in the Year 2024. CoRR (2024)
Mirela Dryankova, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov
Mirela at CheckThat! 2024: Check-worthiness of Tweets with Multilingual Embeddings and Adversarial Training. CLEF (Working Notes) (2024)
Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection. CoRR (2024)
Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Toru Sasaki, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. EACL (1) (2024)
Yuxia Wang, Zenan Zhai, Haonan Li, Xudong Han, Lizhi Lin, Zhenxuan Zhang, Jingru Zhao, Preslav Nakov, Timothy Baldwin
A Chinese Dataset for Evaluating the Safeguards in Large Language Models. CoRR (2024)
Teresa Lynn, Malik H. Altakrori, Samar Mohamed Magdy, Rocktim Jyoti Das, Chenyang Lyu, Mohamed Nasr, Younes Samih, Alham Fikri Aji, Preslav Nakov, Shantanu Godbole, Salim Roukos, Radu Florian, Nizar Habash
Can a Multichoice Dataset be Repurposed for Extractive Question Answering? CoRR (2024)
Manan Suri, Puneet Mathur, Ramit Sawhney, Preslav Nakov, Dinesh Manocha
Doc2Command: Furthering Language Guided Document Editing. Tiny Papers @ ICLR (2024)
Udesh Kumarasinghe, Ahmed Lekssays, Husrev Taha Sencar, Sabri Boughorbel, Charitha Elvitigala, Preslav Nakov
Semantic Ranking for Automated Adversarial Technique Annotation in Security Text. AsiaCCS (2024)
Yuxia Wang, Zenan Zhai, Haonan Li, Xudong Han, Shom Lin, Zhenxuan Zhang, Angela Zhao, Preslav Nakov, Timothy Baldwin
A Chinese Dataset for Evaluating the Safeguards in Large Language Models. ACL (Findings) (2024)
Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych
A Survey of Confidence Estimation and Calibration in Large Language Models. NAACL-HLT (2024)
Udesh Kumarasinghe, Ahmed Lekssays, Husrev Taha Sencar, Sabri Boughorbel, Charitha Elvitigala, Preslav Nakov
Semantic Ranking for Automated Adversarial Technique Annotation in Security Text. CoRR (2024)
Julia Maria Struß, Federico Ruggeri, Alberto Barrón-Cedeño, Firoj Alam, Dimitar Dimitrov, Andrea Galassi, Georgi Pachov, Ivan Koychev, Preslav Nakov, Melanie Siegel, Michael Wiegand, Maram Hasanain, Reem Suwaileh, Wajdi Zaghouani
Overview of the CLEF-2024 CheckThat! Lab Task 2 on Subjectivity in News Articles. CLEF (Working Notes) (2024)
Alexander Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov
Unleashing the Power of Discourse-Enhanced Transformers for Propaganda Detection. EACL (1) (2024)
Jiahui Geng, Yova Kementchedjhieva, Preslav Nakov, Iryna Gurevych
Multimodal Large Language Models to Support Real-World Fact-Checking. CoRR (2024)
Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. ACL (1) (2024)
Shreya Ghosh, Prasenjit Mitra, Preslav Nakov
Clock against Chaos: Dynamic Assessment and Temporal Intervention in Reducing Misinformation Propagation. ICWSM (2024)
Rocktim Jyoti Das, Simeon Emilov Hristov, Haonan Li, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models. ACL (1) (2024)
Fajri Koto, Haonan Li, Sara Shatnawi, Jad Doughman, Abdelrahman Boda Sadallah, Aisha Alraeesi, Khalid Almubarak, Zaid Alyafeai, Neha Sengupta, Shady Shehata, Nizar Habash, Preslav Nakov, Timothy Baldwin
ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic. ACL (Findings) (2024)
Muhammad Arslan Manzoor, Yuxia Wang, Minghan Wang, Preslav Nakov
Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs. CoRR (2024)
Preslav Nakov, Jisun An, Haewoon Kwak, Muhammad Arslan Manzoor, Zain Muhammad Mujahid, Husrev T. Sencar
A Survey on Predicting the Factuality and the Bias of News Media. ACL (Findings) (2024)
Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. ACM Trans. Multim. Comput. Commun. Appl. 20 (3) (2024)
Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin, Shady Shehata, Preslav Nakov, Zeerak Talat
Exploring the Limitations of Detecting Machine-Generated Text. CoRR (2024)
Iman Munire Bilal, Preslav Nakov, Rob Procter, Maria Liakata
Generating Unsupervised Abstractive Explanations for Rumour Verification. CoRR (2024)
Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. CoRR (2024)
Rocktim Jyoti Das, Simeon Emilov Hristov, Haonan Li, Dimitar Iliyanov Dimitrov, Ivan Koychev, Preslav Nakov
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models. CoRR (2024)
Gurpreet Gosal, Yishi Xu, Gokul Ramakrishnan, Rituraj Joshi, Avraham Sheinin, Zhiming Chen, Biswajit Mishra, Natalia Vassilieva, Joel Hestness, Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, Onkar Pandit, Satheesh Katipomu, Samta Kamboj, Samujjwal Ghosh, Rahul Pal, Parvez Mullah, Soundar Doraiswamy, Mohamed El Karim Chami, Preslav Nakov
Bilingual Adaptation of Monolingual Foundation Models. CoRR (2024)
Yuxia Wang, Minghan Wang, Hasan Iqbal, Georgi Georgiev, Jiahui Geng, Preslav Nakov
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs. CoRR (2024)
Puneet Mathur, Vlad I. Morariu, Aparna Garimella, Franck Dernoncourt, Jiuxiang Gu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha, Rajiv Jain
DocScript: Document-level Script Event Prediction. LREC/COLING (2024)
Jinyan Su, John X. Morris, Preslav Nakov, Claire Cardie
Corpus Poisoning via Approximate Greedy Gradient Descent. CoRR (2024)
Tariq Alhindi, Smaranda Muresan, Preslav Nakov
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition. ACL (Findings) (2024)
Jakub Piskorski, Nicolas Stefanovitch, Firoj Alam, Ricardo Campos, Dimitar Dimitrov, Alípio Jorge, Senja Pollak, Nikolay Ribin, Zoran Fijavz, Maram Hasanain, Purificação Silvano, Elisa Sartori, Nuno Guimarães, Ana Zwitter Vitez, Ana Filipa Pacheco, Ivan Koychev, Nana Yu, Preslav Nakov, Giovanni Da San Martino
Overview of the CLEF-2024 CheckThat! Lab Task 3 on Persuasion Techniques. CLEF (Working Notes) (2024)
Ritesh Singh Soun, Atula Tejaswi Neerkaje, Ramit Sawhney, Nikolaos Aletras, Preslav Nakov
RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation. LREC/COLING (2024)
Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. LREC/COLING (2024)
Alberto Barrón-Cedeño, Firoj Alam, Tanmoy Chakraborty, Tamer Elsayed, Preslav Nakov, Piotr Przybyla, Julia Maria Struß, Fatima Haouari, Maram Hasanain, Federico Ruggeri, Xingyi Song, Reem Suwaileh
The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. ECIR (5) (2024)
Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohanned Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. CoRR (2024)
Maram Hasanain, Reem Suwaileh, Sanne Weering, Chengkai Li, Tommaso Caselli, Wajdi Zaghouani, Alberto Barrón-Cedeño, Preslav Nakov, Firoj Alam
Overview of the CLEF-2024 CheckThat! Lab Task 1 on Check-Worthiness Estimation of Multigenre Content. CLEF (Working Notes) (2024)
Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. CoRR (2024)
Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych
Missci: Reconstructing Fallacies in Misrepresented Science. CoRR (2024)
Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, Timothy Baldwin
Do-Not-Answer: Evaluating Safeguards in LLMs. EACL (Findings) (2024)
Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Preslav Nakov
On the effect of dropping layers of pre-trained transformer models. Comput. Speech Lang. 77 (2023)
Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov
QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. EMNLP (Demos) (2023)
Serena Tardelli, Leonardo Nizzoli, Maurizio Tesconi, Mauro Conti, Preslav Nakov, Giovanni Da San Martino, Stefano Cresci
Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence. CoRR (2023)
Jakub Piskorski, Nicolas Stefanovitch, Nikolaos Nikolaidis, Giovanni Da San Martino, Preslav Nakov
Multilingual Multifaceted Understanding of Online News in Terms of Genre, Framing, and Persuasion Techniques. ACL (1) (2023)
Shubham Mittal, Megha Sundriyal, Preslav Nakov
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media. CoRR (2023)
Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov
Fact-Checking Complex Claims with Program-Guided Reasoning. ACL (1) (2023)
Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang
On the Risk of Misinformation Pollution with Large Language Models. CoRR (2023)
Jakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino, Preslav Nakov
SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual Setup. SemEval@ACL (2023)
Georgi Pachov, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov
Gpachov at CheckThat!-2023: A Diverse Multi-approach Ensemble for Subjectivity Detection in News Articles. CLEF (Working Notes) (2023)
Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov
QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. CoRR (2023)
Osama Mohammed Afzal, Preslav Nakov
Team TheSyllogist at SemEval-2023 Task 3: Language-Agnostic Framing Detection in Multi-Lingual Online News: A Zero-Shot Transfer Approach. SemEval@ACL (2023)
Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov
Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output. CoRR (2023)
Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. CoRR (2023)
Dilshod Azizov, Preslav Nakov, Shangsong Liang
Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media. CLEF (Working Notes) (2023)
Tarek Mahmoud, Preslav Nakov
BERTastic at SemEval-2023 Task 3: Fine-Tuning Pretrained Multilingual Transformers Does Order Matter? SemEval@ACL (2023)
Daniel Baleato Rodríguez, Verna Dankers, Preslav Nakov, Ekaterina Shutova
Paper Bullets: Modeling Propaganda with the Help of Metaphor. EACL (Findings) (2023)
Jinyan Su, Claire Cardie, Preslav Nakov
Adapting Fake News Detection to the Era of Large Language Models. CoRR (2023)
Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking. EMNLP (Findings) (2023)
Marcos Zampieri, Skye Morgan, Kai North, Tharindu Ranasinghe, Austin Simmmons, Paridhi Khandelwal, Sara Rosenthal, Preslav Nakov
Target-Based Offensive Language Identification. ACL (2) (2023)
Yuxia Wang, Minghan Wang, Preslav Nakov
Rethinking STS and NLI in Large Language Models. CoRR (2023)
Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. AAAI (2023)
Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, Timothy Baldwin
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs. CoRR (2023)
Jinyan Su, Terry Yue Zhuo, Jonibek Mansurov, Di Wang, Preslav Nakov
Fake News Detectors are Biased against Texts Generated by Large Language Models. CoRR (2023)
Marcos Zampieri, Isabelle Augenstein, Siddharth Krishnan, Joshua Melton, Preslav Nakov
Preface: Special issue on NLP approaches to offensive content online. Nat. Lang. Eng. 29 (6) (2023)
Preslav Nakov, Firoj Alam, Giovanni Da San Martino, Maram Hasanain, Dilshod Azizov, Rabindra Nath Nandi, Panayot Panayotov
Overview of the CLEF-2023 CheckThat! Lab Task 4 on Factuality of Reporting of News Media. CLEF (Working Notes) (2023)
Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva, Yujia Zheng, Preslav Nakov, Kun Zhang
Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data. CoRR (2023)
Qisheng Liao, Meiting Lai, Preslav Nakov
MarsEclipse at SemEval-2023 Task 3: Multi-Lingual and Multi-Label Framing Detection with Contrastive Learning. CoRR (2023)
Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. EMNLP (2023)
Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri
Deep active learning for misinformation detection using geometric deep learning. Online Soc. Networks Media 33 (2023)
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
The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority. ECIR (3) (2023)
Ashraf Haddad, Najwa Aaraj, Preslav Nakov, Septimiu Fabian Mare
Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses. CoRR (2023)
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David P. A. Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Y. Halevy, Eduard H. Hovy, Heng Ji, Filippo Menczer, Rubén Míguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni
Factuality Challenges in the Era of Large Language Models. CoRR (2023)
Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra
Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract). AAAI (2023)
Luke Bates, Peter Ebert Christensen, Preslav Nakov, Iryna Gurevych
A Template Is All You Meme. CoRR (2023)
Shubham Mittal, Megha Sundriyal, Preslav Nakov
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media. EMNLP (2023)
Parth Chhabra, Atula Tejaswi Neerkaje, Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Sudheer Chava
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. SIGIR (2023)
Giovanni Da San Martino, Firoj Alam, Maram Hasanain, Rabindra Nath Nandi, Dilshod Azizov, Preslav Nakov
Overview of the CLEF-2023 CheckThat! Lab Task 3 on Political Bias of News Articles and News Media. CLEF (Working Notes) (2023)
Maram Hasanain, Firoj Alam, Hamdy Mubarak, Samir Abdaljalil, Wajdi Zaghouani, Preslav Nakov, Giovanni Da San Martino, Abed Alhakim Freihat
ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text. ArabicNLP (2023)
Maram Hasanain, Firoj Alam, Hamdy Mubarak, Samir Abdaljalil, Wajdi Zaghouani, Preslav Nakov, Giovanni Da San Martino, Abed Alhakim Freihat
ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text. CoRR (2023)
Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov
Fact-Checking Complex Claims with Program-Guided Reasoning. CoRR (2023)
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
Overview of the CLEF-2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source. CLEF (2023)
Jinyan Su, Terry Yue Zhuo, Di Wang, Preslav Nakov
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text. EMNLP (Findings) (2023)
Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. ACL (1) (2023)
Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. CoRR (2023)
Marcos Zampieri, Sara Rosenthal, Preslav Nakov, Alphaeus Dmonte, Tharindu Ranasinghe
OffensEval 2023: Offensive language identification in the age of Large Language Models. Nat. Lang. Eng. 29 (6) (2023)
Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking. CoRR (2023)
Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? CoRR (2023)
Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? EACL (2023)
Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur R. KhudaBukhsh, Chris T. Bauch, Preslav Nakov, Orestis Papakyriakopoulos, Koustuv Saha, Kaveh Khoshnood, Navin Kumar
Partisan US News Media Representations of Syrian Refugees. ICWSM (2023)
Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Ves Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. CoRR (2023)

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Preslav Nakov