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ORCIDPreslav Nakov
Preslav Ivanov Nakov
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- affiliation: Qatar Computing Research Institute
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2020 – today
- 2024
[j29]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): 72:1-72:17 (2024)- [j28]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): 74:1-74:34 (2024) - [c293]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: 3106-3119 - [c292]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: 3964-3992 - [c291]Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Missci: Reconstructing Fallacies in Misrepresented Science. ACL (1) 2024: 4372-4405 - [c290]Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty:
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. ACL (Findings) 2024: 5042-5078 - [c289]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: 5622-5640 - [c288]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: 7768-7791 - [c287]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: 9367-9385 - [c286]Tariq Alhindi, Smaranda Muresan, Preslav Nakov:
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition. ACL (Findings) 2024: 12323-12334 - [c285]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: 15947-15962 - [c284]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 - [c283]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: 276-286 - [c282]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: 287-298 - [c281]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: 299-310 - [c280]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: 405-410 - [c279]Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic:
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. LREC/COLING 2024: 4392-4403 - [c278]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: 5140-5155 - [c277]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: 14134-14145 - [c276]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: 14285-14297 - [c275]Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, Timothy Baldwin:
Do-Not-Answer: Evaluating Safeguards in LLMs. EACL (Findings) 2024: 896-911 - [c274]Yuxia Wang, Minghan Wang, Preslav Nakov:
Rethinking STS and NLI in Large Language Models. EACL (Findings) 2024: 965-982 - [c273]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: 1369-1407 - [c272]Alexander Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Unleashing the Power of Discourse-Enhanced Transformers for Propaganda Detection. EACL (1) 2024: 1452-1462 - [c271]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: 449-458 - [c270]Petar Ivanov, Ivan Koychev, Momchil Hardalov, Preslav Nakov:
Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data. ICASSP 2024: 12011-12015 - [c269]Manan Suri, Puneet Mathur, Ramit Sawhney, Preslav Nakov, Dinesh Manocha:
Doc2Command: Furthering Language Guided Document Editing. Tiny Papers @ ICLR 2024 - [c268]Shreya Ghosh, Prasenjit Mitra, Preslav Nakov:
Clock against Chaos: Dynamic Assessment and Temporal Intervention in Reducing Misinformation Propagation. ICWSM 2024: 462-473 - [c267]Jinyan Su, Claire Cardie, Preslav Nakov:
Adapting Fake News Detection to the Era of Large Language Models. NAACL-HLT (Findings) 2024: 1473-1490 - [c266]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: 6577-6595 - [c265]Tarek Mahmoud, Preslav Nakov:
BERTastic at SemEval-2024 Task 4: State-of-the-Art Multilingual Propaganda Detection in Memes via Zero-Shot Learning with Vision-Language Models. SemEval@NAACL 2024: 503-510 - [c264]Dimitar Dimitrov, Firoj Alam, Maram Hasanain, Abul Hasnat, Fabrizio Silvestri, Preslav Nakov, Giovanni Da San Martino:
SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes. SemEval@NAACL 2024: 2009-2026 - [d3]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 Black-Box Machine-Generated Text Detection. Zenodo, 2024
- [i206]Iman Munire Bilal, Preslav Nakov, Rob Procter, Maria Liakata:
Generating Unsupervised Abstractive Explanations for Rumour Verification. CoRR abs/2401.12713 (2024) - [i205]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 abs/2401.16727 (2024) - [i204]Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Georgiev, Rocktim Jyoti Das, Preslav Nakov:
Factuality of Large Language Models in the Year 2024. CoRR abs/2402.02420 (2024) - [i203]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 abs/2402.11175 (2024) - [i202]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 abs/2402.12193 (2024) - [i201]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 abs/2402.12840 (2024) - [i200]Jiahui Geng, Yova Kementchedjhieva, Preslav Nakov, Iryna Gurevych:
Multimodal Large Language Models to Support Real-World Fact-Checking. CoRR abs/2403.03627 (2024) - [i199]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 abs/2403.04696 (2024) - [i198]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 abs/2403.10378 (2024) - [i197]Udesh Kumarasinghe, Ahmed Lekssays, Husrev Taha Sencar, Sabri Boughorbel, Charitha Elvitigala, Preslav Nakov:
Semantic Ranking for Automated Adversarial Technique Annotation in Security Text. CoRR abs/2403.17068 (2024) - [i196]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 abs/2404.14183 (2024) - [i195]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 abs/2404.17342 (2024) - [i194]Yuxia Wang, Minghan Wang, Hasan Iqbal, Georgi Georgiev, Jiahui Geng, Preslav Nakov:
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs. CoRR abs/2405.05583 (2024) - [i193]Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty:
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. CoRR abs/2405.11215 (2024) - [i192]Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Missci: Reconstructing Fallacies in Misrepresented Science. CoRR abs/2406.03181 (2024) - [i191]Jinyan Su, John X. Morris, Preslav Nakov, Claire Cardie:
Corpus Poisoning via Approximate Greedy Gradient Descent. CoRR abs/2406.05087 (2024) - [i190]Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin, Shady Shehata, Preslav Nakov, Zeerak Talat:
Exploring the Limitations of Detecting Machine-Generated Text. CoRR abs/2406.11073 (2024) - [i189]Muhammad Arslan Manzoor, Yuxia Wang, Minghan Wang, Preslav Nakov:
Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs. CoRR abs/2406.11250 (2024) - [i188]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 abs/2406.15627 (2024) - [i187]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 abs/2406.20098 (2024) - [i186]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 abs/2407.12869 (2024) - [i185]Mervat Abassy, Kareem Elozeiri, Alexander Aziz, Minh Ngoc Ta, Raj Vardhan Tomar, Bimarsha Adhikari, Saad El Dine Ahmed, Yuxia Wang, Osama Mohammed Afzal, Zhuohan Xie, Jonibek Mansurov, Ekaterina Artemova, Vladislav Mikhailov, Rui Xing, Jiahui Geng, Hasan Iqbal, Zain Muhammad Mujahid, Tarek Mahmoud, Akim Tsvigun, Alham Fikri Aji, Artem Shelmanov, Nizar Habash, Iryna Gurevych, Preslav Nakov:
LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection. CoRR abs/2408.04284 (2024) - 2023
- [j27]Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Preslav Nakov:
On the effect of dropping layers of pre-trained transformer models. Comput. Speech Lang. 77: 101429 (2023) - [j26]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): 1415 (2023) - [j25]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): 1416-1435 (2023) - [j24]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: 100244 (2023) - [c263]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: 9763-9771 - [c262]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: 16318-16319 - [c261]Marcos Zampieri, Skye Morgan, Kai North, Tharindu Ranasinghe, Austin Simmmons, Paridhi Khandelwal, Sara Rosenthal, Preslav Nakov:
Target-Based Offensive Language Identification. ACL (2) 2023: 762-770 - [c260]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: 3001-3022 - [c259]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: 6981-7004 - [c258]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: 8733-8759 - [c257]Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji:
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation. ACL (1) 2023: 14571-14589 - [c256]Firoj Alam, Alberto Barrón-Cedeño, Gullal S. Cheema, Gautam Kishore Shahi, Sherzod Hakimov, Maram Hasanain, Chengkai Li, Rubén Míguez, Hamdy Mubarak, Wajdi Zaghouani, Preslav Nakov:
Overview of the CLEF-2023 CheckThat! Lab Task 1 on Check-Worthiness in Multimodal and Multigenre Content. CLEF (Working Notes) 2023: 219-235 - [c255]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: 250-259 - [c254]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: 251-275 - [c253]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: 260-268 - [c252]Dilshod Azizov, Preslav Nakov, Shangsong Liang:
Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media. CLEF (Working Notes) 2023: 289-305 - [c251]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: 404-412 - [c250]Daniel Baleato Rodríguez, Verna Dankers, Preslav Nakov, Ekaterina Shutova:
Paper Bullets: Modeling Propaganda with the Help of Metaphor. EACL (Findings) 2023: 472-489 - [c249]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: 2141-2155 - [c248]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: 506-517 - [c247]Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov:
QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. EMNLP (Demos) 2023: 264-273 - [c246]Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang:
On the Risk of Misinformation Pollution with Large Language Models. EMNLP (Findings) 2023: 1389-1403 - [c245]Shubham Mittal, Megha Sundriyal, Preslav Nakov:
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media. EMNLP 2023: 3887-3902 - [c244]Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov:
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking. EMNLP (Findings) 2023: 6594-6609 - [c243]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: 7787-7813 - [c242]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: 12395-12412 - [c241]Muhammad Umar Salman, Asif Hanif, Shady Shehata, Preslav Nakov:
Detecting Propaganda Techniques in Code-Switched Social Media Text. EMNLP 2023: 16794-16812 - [c240]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: 103-113 - [c239]Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection. RANLP 2023: 480-493 - [c238]Tarek Mahmoud, Preslav Nakov:
BERTastic at SemEval-2023 Task 3: Fine-Tuning Pretrained Multilingual Transformers Does Order Matter? SemEval@ACL 2023: 58-63 - [c237]Qisheng Liao, Meiting Lai, Preslav Nakov:
MarsEclipse at SemEval-2023 Task 3: Multi-lingual and Multi-label Framing Detection with Contrastive Learning. SemEval@ACL 2023: 83-87 - [c236]Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi, Preslav Nakov, Firoj Alam:
QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection Using Multilingual Models. SemEval@ACL 2023: 1237-1244 - [c235]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: 2058-2061 - [c234]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: 2343-2361 - [c233]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: 2108-2112 - [c232]Wala Elsharif, James She, Preslav Nakov, Simon Wong:
Enhancing Arabic Content Generation with Prompt Augmentation Using Integrated GPT and Text-to-Image Models. IMX 2023: 276-288 - [c231]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: 483-493 - [e22]Yves Scherrer, Tommi Jauhiainen, Nikola Ljubesic, Preslav Nakov, Jörg Tiedemann, Marcos Zampieri:
Tenth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@EACL 2023, Dubrovnik, Croatia, May 5, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-50-0 [contents] - [i184]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 abs/2301.06774 (2023) - [i183]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 abs/2301.11219 (2023) - [i182]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 abs/2302.00389 (2023) - [i181]Ashraf Haddad, Najwa Aaraj, Preslav Nakov, Septimiu Fabian Mare:
Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses. CoRR abs/2304.11130 (2023) - [i180]Qisheng Liao, Meiting Lai, Preslav Nakov:
MarsEclipse at SemEval-2023 Task 3: Multi-Lingual and Multi-Label Framing Detection with Contrastive Learning. CoRR abs/2304.14339 (2023) - [i179]Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi, Preslav Nakov, Firoj Alam:
QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models. CoRR abs/2305.03336 (2023) - [i178]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 abs/2305.12744 (2023) - [i177]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 abs/2305.13186 (2023) - [i176]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 abs/2305.13661 (2023) - [i175]Muhammad Umar Salman, Asif Hanif, Shady Shehata, Preslav Nakov:
Detecting Propaganda Techniques in Code-Switched Social Media Text. CoRR abs/2305.14534 (2023) - [i174]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Alham Fikri Aji, Preslav Nakov:
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. CoRR abs/2305.14902 (2023) - [i173]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 abs/2305.18410 (2023) - [i172]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 abs/2306.02349 (2023) - [i171]Petar Ivanov, Ivan Koychev, Momchil Hardalov, Preslav Nakov:
Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data. CoRR abs/2306.05535 (2023) - [i170]Jinyan Su, Terry Yue Zhuo, Di Wang, Preslav Nakov:
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text. CoRR abs/2306.05540 (2023) - [i169]Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, Timothy Baldwin:
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs. CoRR abs/2308.13387 (2023) - [i168]Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, Satheesh Katipomu, Haonan Li, Fajri Koto, Osama Mohammed Afzal, Samta Kamboj, Onkar Pandit, Rahul Pal, Lalit Pradhan, Zain Muhammad Mujahid, Massa Baali, Alham Fikri Aji, Zhengzhong Liu, Andy Hock, Andrew Feldman, Jonathan Lee, Andrew Jackson, Preslav Nakov, Timothy Baldwin, Eric P. Xing:
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models. CoRR abs/2308.16149 (2023) - [i167]