---
title: "Preslav Nakov — all works — Elamur Research"
description: "All 107 works of Preslav Nakov in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Preslav Nakov — all works

107 works · page 1 of 2 · 1–100 · [← Preslav Nakov](https://md.research.elamur.ai/free/en/authors/preslav-nakov/)

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1. **[SemEval-2017 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Noura Farra, Preslav Nakov*2017 · 1,163 citations*
2. **[Predicting the Type and Target of Offensive Posts in Social Media](https://md.research.elamur.ai/free/en/papers/zampieri-2019-predicting-type-target-offensive-posts/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2019 · 1,119 citations*
3. **[SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)](https://md.research.elamur.ai/free/en/papers/zampieri-2019-semeval-2019-task-6-identifying/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2019 · 1,113 citations*
4. **[SemEval-2016 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-4-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Preslav Nakov, Alan Ritter, Sara Rosenthal, et al.*2016 · 1,083 citations*
5. **[SemEval-2014 Task 9: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2014-semeval-2014-task-9-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Alan Ritter, Preslav Nakov, et al.*2014 · 741 citations*
6. **[SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) ↗](https://aclanthology.org/2020.semeval-1.188/) Proceedings of the Fourteenth Workshop on Semantic Evaluation · no summary yet**Marcos Zampieri et al.*2020 · 643 citations*
7. **[SemEval-2015 Task 10: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2015-semeval-2015-task-10-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.*2015 · 492 citations*
8. **[Fine-Grained Analysis of Propaganda in News Articles](https://md.research.elamur.ai/free/en/papers/martino-2019-fine-grained-analysis-propaganda-news/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, et al.*2019 · 379 citations*
9. **[SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles](https://md.research.elamur.ai/free/en/papers/martino-2020-semeval-2020-task-11-detection/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, et al.*2020 · 371 citations*
10. **[Predicting Factuality of Reporting and Bias of News Media Sources](https://md.research.elamur.ai/free/en/papers/baly-2018-predicting-factuality-reporting-bias-news/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, et al.*2018 · 335 citations*
11. **[SemEval-2016 Task 3: Community Question Answering](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-3-community/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, et al.*2016 · 319 citations*
12. **[SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals](https://md.research.elamur.ai/free/en/papers/hendrickx-2010-semeval-2010-task-8-multi/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, et al.*2010 · 292 citations*
13. **[Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task](https://md.research.elamur.ai/free/en/papers/malmasi-2016-discriminating-between-similar-languages/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Shervin Malmasi, Marcos Zampieri, Nikola Ljubešić, et al.*2016 · 287 citations*
14. **[SemEval-2017 Task 3: Community Question Answering](https://md.research.elamur.ai/free/en/papers/nakov-2017-semeval-2017-task-3-community/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Preslav Nakov, Doris Hoogeveen, Lluís Màrquez, et al.*2017 · 262 citations*
15. **[Findings of the VarDial Evaluation Campaign 2017](https://md.research.elamur.ai/free/en/papers/zampieri-2017-findings-vardial-evaluation-campaign/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Marcos Zampieri, Shervin Malmasi, Nikola Ljubešić, et al.*2017 · 261 citations*
16. **[MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets](https://md.research.elamur.ai/free/en/papers/pramanick-2021-momenta-multimodal-framework-detecting-harmful/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, et al.*2021 · 212 citations*
17. **[SemEval-2015 Task 3: Answer Selection in Community Question Answering ↗](https://aclanthology.org/S15-2047/) Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) · no summary yet**Preslav Nakov et al.*2015 · 209 citations*
18. **[SemEval-2013 Task 2: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/nakov-2013-semeval-2013-task-2-sentiment/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, et al.*2013 · 201 citations*
19. **[We Can Detect Your Bias: Predicting the Political Ideology of News Articles](https://md.research.elamur.ai/free/en/papers/baly-2020-we-can-detect-your-bias/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ramy Baly, Giovanni Da San Martino, James Glass, et al.*2020 · 199 citations*
20. **[That is a Known Lie: Detecting Previously Fact-Checked Claims](https://md.research.elamur.ai/free/en/papers/shaar-2020-that-is-known-lie-detecting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino, et al.*2020 · 193 citations*
21. **[Compressing Large-Scale Transformer-Based Models: A Case Study on BERT](https://md.research.elamur.ai/free/en/papers/ganesh-2021-compressing-large-scale-transformer-based/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Prakhar Ganesh, Yao Chen, Xin Lou, et al.*2021 · 190 citations*
22. **[A Survey on Stance Detection for Mis- and Disinformation Identification](https://md.research.elamur.ai/free/en/papers/hardalov-2022-survey-stance-detection-mis-disinformation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Momchil Hardalov, Arnav Arora, Preslav Nakov, et al.*2022 · 188 citations*
23. **[Integrating Stance Detection and Fact Checking in a Unified Corpus](https://md.research.elamur.ai/free/en/papers/baly-2018-integrating-stance-detection-fact-checking/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ramy Baly, Mitra Mohtarami, James Glass, et al.*2018 · 186 citations*
24. **[Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society ↗](https://aclanthology.org/2021.findings-emnlp.56/) Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yet**Firoj Alam et al.*2021 · 182 citations*
25. **[On the Risk of Misinformation Pollution with Large Language Models](https://md.research.elamur.ai/free/en/papers/pan-2023-risk-misinformation-pollution-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yikang Pan, Liangming Pan, Wenhu Chen, et al.*2023 · 179 citations*
26. **[DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text](https://md.research.elamur.ai/free/en/papers/su-2023-detectllm-leveraging-log-rank-information/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinyan Su, Terry Zhuo, Di Wang, et al.*2023 · 172 citations*
27. **[Detecting Harmful Memes and Their Targets](https://md.research.elamur.ai/free/en/papers/pramanick-2021-detecting-harmful-memes-their-targets/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, et al.*2021 · 171 citations*
28. **[Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign](https://md.research.elamur.ai/free/en/papers/zampieri-2018-language-identification-morphosyntactic-tagging-second/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2018 · 170 citations*
29. [**Overview of the DSL Shared Task 2015 LT4VarDial 2015**Marcos Zampieri, Liling Tan, Nikola Ljubešić, et al.*2015 · 164 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2015-overview-dsl-shared-task/)
30. **[Finding Opinion Manipulation Trolls in News Community Forums ↗](https://aclanthology.org/K15-1032/) Proceedings of the Nineteenth Conference on Computational Natural Language Learning · no summary yet**Todor Mihaylov, Georgi Georgiev, Preslav Nakov*2015 · 162 citations*
31. **[Automatic Stance Detection Using End-to-End Memory Networks](https://md.research.elamur.ai/free/en/papers/mohtarami-2018-automatic-stance-detection-end-end/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mitra Mohtarami, Ramy Baly, James Glass, et al.*2018 · 157 citations*
32. **[SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual Setup](https://md.research.elamur.ai/free/en/papers/piskorski-2023-semeval-2023-task-3-detecting/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino, et al.*2023 · 150 citations*
33. **[Fact-Checking Complex Claims with Program-Guided Reasoning](https://md.research.elamur.ai/free/en/papers/pan-2023-fact-checking-complex-claims-program/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.*2023 · 146 citations*
34. **[Using Discourse Structure Improves Machine Translation Evaluation ↗](https://aclanthology.org/P14-1065/) Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Francisco Guzmán et al.*2014 · 145 citations*
35. **[Detecting Propaganda Techniques in Memes ↗](https://aclanthology.org/2021.acl-long.516/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Dimitar Dimitrov et al.*2021 · 136 citations*
36. **[Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic](https://md.research.elamur.ai/free/en/papers/alam-2022-overview-wanlp-2022-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Firoj Alam, Hamdy Mubarak, Wajdi Zaghouani, et al.*2022 · 119 citations*
37. **[Fact-Checking Meets Fauxtography: Verifying Claims About Images ↗](https://aclanthology.org/D19-1216/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Dimitrina Zlatkova, Preslav Nakov, Ivan Koychev*2019 · 119 citations*
38. **[ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic](https://md.research.elamur.ai/free/en/papers/koto-2024-arabicmmlu-assessing-massive-multitask-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fajri Koto, Haonan Li, Sara Shatnawi, et al.*2024 · 117 citations*
39. **[Pronoun-Focused MT and Cross-Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation ↗](https://aclanthology.org/W15-2501/) Proceedings of the Second Workshop on Discourse in Machine Translation · no summary yet**Christian Hardmeier et al.*2015 · 116 citations*
40. **[Predicting the Topical Stance and Political Leaning of Media using Tweets ↗](https://aclanthology.org/2020.acl-main.50/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Peter Stefanov et al.*2020 · 109 citations*
41. **[Adversarial Domain Adaptation for Duplicate Question Detection ↗](https://aclanthology.org/D18-1131/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Darsh Shah et al.*2018 · 109 citations*
42. **[SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification ↗](https://aclanthology.org/2021.findings-acl.80/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Sara Rosenthal et al.*2021 · 102 citations*
43. **[Hunting for Troll Comments in News Community Forums ↗](https://aclanthology.org/P16-2065/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Todor Mihaylov, Preslav Nakov*2016 · 99 citations*
44. **[SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums ↗](https://aclanthology.org/S19-2149/) Proceedings of the 13th International Workshop on Semantic Evaluation · no summary yet**Tsvetomila Mihaylova et al.*2019 · 98 citations*
45. [**A Survey of Confidence Estimation and Calibration in Large Language Models arXiv:2311.08298**Jiahui Geng, Fengyu Cai, Yuxia Wang, et al.*2023 · 97 citations*](https://md.research.elamur.ai/free/en/papers/geng-2023-survey-confidence-estimation-calibration-large/)
46. **[Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification](https://md.research.elamur.ai/free/en/papers/fadeeva-2024-fact-checking-output-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, et al.*2024 · 96 citations*
47. **[Cross-Domain Label-Adaptive Stance Detection](https://md.research.elamur.ai/free/en/papers/hardalov-2021-cross-domain-label-adaptive-stance/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Momchil Hardalov, Arnav Arora, Preslav Nakov, et al.*2021 · 96 citations*
48. **[Do-Not-Answer: Evaluating Safeguards in LLMs](https://md.research.elamur.ai/free/en/papers/wang-2024-do-not-answer-evaluating-safeguards/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxia Wang, Haonan Li, Xudong Han, et al.*2024 · 93 citations*
49. **[What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context ↗](https://aclanthology.org/2020.acl-main.308/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Ramy Baly et al.*2020 · 93 citations*
50. **[Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media ↗](https://aclanthology.org/N19-1216/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Ramy Baly et al.*2019 · 91 citations*
51. **[ClaimRank: Detecting Check-Worthy Claims in Arabic and English](https://md.research.elamur.ai/free/en/papers/jaradat-2018-claimrank-detecting-check-worthy-claims/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Israa Jaradat, Pepa Gencheva, Alberto Barrón-Cedeño, et al.*2018 · 91 citations*
52. **[SemEval-2007 Task 04: Classification of Semantic Relations between Nominals](https://md.research.elamur.ai/free/en/papers/girju-2007-semeval-2007-task-04-classification/) [International Workshop on Semantic Evaluations](https://md.research.elamur.ai/free/en/venues/international-workshop-on-semantic-evaluations/)**Roxana Girju, Preslav Nakov, Vivi Nastase, et al.*2007 · 91 citations*
53. **[Optimizing for Sentence-Level BLEU+1 Yields Short Translations ↗](https://aclanthology.org/C12-1121/) Proceedings of COLING 2012 · no summary yet**Preslav Nakov, Francisco Guzman, Stephan Vogel*2012 · 85 citations*
54. **[Improving English-Spanish Statistical Machine Translation: Experiments in Domain Adaptation, Sentence Paraphrasing, Tokenization, and Recasing ↗](https://aclanthology.org/W08-0320/) Proceedings of the Third Workshop on Statistical Machine Translation · no summary yet**Nakov, Preslav*2008 · 85 citations*
55. **[A Survey of Confidence Estimation and Calibration in Large Language Models ↗](https://aclanthology.org/2024.naacl-long.366/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Jiahui Geng et al.*2024 · 84 citations*
56. **[Prta: A System to Support the Analysis of Propaganda Techniques in the News ↗](https://aclanthology.org/2020.acl-demos.32/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yet**Giovanni Da San Martino et al.*2020 · 83 citations*
57. **[SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings ↗](https://aclanthology.org/S16-1136/) Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) · no summary yet**Todor Mihaylov, Preslav Nakov*2016 · 81 citations*
58. [**Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs arXiv:2308.13387**Yuxia Wang, Haonan Li, Xudong Han, et al.*2023 · 78 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-answer-dataset-evaluating-safeguards-llms/)
59. **[Factuality of Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2024-factuality-large-language-models-survey/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, et al.*2024 · 77 citations*
60. **[QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English](https://md.research.elamur.ai/free/en/papers/nicosia-2015-qcri-answer-selection-community-question/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Massimo Nicosia, Simone Filice, Alberto Barrón-Cedeño, et al.*2015 · 76 citations*
61. **[SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images](https://md.research.elamur.ai/free/en/papers/dimitrov-2021-semeval-2021-task-6-detection/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, et al.*2021 · 75 citations*
62. **[Pairwise Neural Machine Translation Evaluation ↗](https://aclanthology.org/P15-1078/) Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Francisco Guzmán et al.*2015 · 70 citations*
63. **[ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text](https://md.research.elamur.ai/free/en/papers/hasanain-2023-araieval-shared-task-persuasion-techniques/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Maram Hasanain, Firoj Alam, Hamdy Mubarak, et al.*2023 · 67 citations*
64. **[SemEval-2010 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions ↗](https://aclanthology.org/W09-2416/) Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009) · no summary yet**Cristina Butnariu et al.*2009 · 64 citations*
65. **[DiscoTK: Using Discourse Structure for Machine Translation Evaluation ↗](https://aclanthology.org/W14-3352/) Proceedings of the Ninth Workshop on Statistical Machine Translation · no summary yet**Shafiq Joty et al.*2014 · 61 citations*
66. [**Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness arXiv:1808.05542 · CLEF-2018**Pepa Atanasova, Alberto Barron-Cedeno, Tamer Elsayed, et al.*2018 · 55 citations*](https://md.research.elamur.ai/free/en/papers/atanasova-2018-overview-clef-2018-checkthat-lab/)
67. **[SemEval-2 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions ↗](https://aclanthology.org/S10-1007/) Proceedings of the 5th International Workshop on Semantic Evaluation · no summary yet**Cristina Butnariu et al.*2010 · 46 citations*
68. **[SemEval-2026 Task 13: Detecting Machine-Generated Code with Multiple Programming Languages, Generators, and Application Scenarios](https://md.research.elamur.ai/free/en/papers/orel-2026-semeval-2026-task-13-detecting/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Daniil Orel, Dilshod Azizov, Indraneil Paul, et al.*2026 · 41 citations*
69. **[AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking](https://md.research.elamur.ai/free/en/papers/alhindi-2021-arastance-multi-country-multi-domain/) [Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda](https://md.research.elamur.ai/free/en/venues/nlp4if/)**Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, et al.*2021 · 41 citations*
70. **[Machine Translation Evaluation with Neural Networks ↗](https://arxiv.org/abs/1710.02095) arXiv:1710.02095 · Computer Speech & Language 45: 180-200 (2017) · no summary yet**Francisco Guzman et al.*2017 · 41 citations*
71. **[Discourse Structure in Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/joty-2017-discourse-structure-machine-translation-evaluation/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Shafiq Joty, Francisco Guzmán, Lluís Màrquez, et al.*2017 · 40 citations*
72. **[Machine Translation Evaluation Meets Community Question Answering ↗](https://aclanthology.org/P16-2075/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Francisco Guzmán, Lluís Màrquez, Preslav Nakov*2016 · 37 citations*
73. **[Improved statistical machine translation using monolingual paraphrases ↗](https://arxiv.org/abs/2109.15119) arXiv:2109.15119 · ECAI-2008 · no summary yet**Preslav Nakov*2008 · 36 citations*
74. **[A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar](https://md.research.elamur.ai/free/en/papers/nakov-2021-second-pandemic-analysis-fake-news/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Preslav Nakov, Firoj Alam, Shaden Shaar, et al.*2021 · 33 citations*
75. **[Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction ↗](https://aclanthology.org/W17-4801/) Proceedings of the Third Workshop on Discourse in Machine Translation · no summary yet**Sharid Loáiciga et al.*2017 · 31 citations*
76. **[Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite ↗](https://aclanthology.org/D19-1294/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Prathyusha Jwalapuram et al.*2019 · 30 citations*
77. **[NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge ↗](https://aclanthology.org/2022.emnlp-main.403/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Revanth Gangi Reddy et al.*2022 · 27 citations*
78. **[AICD Bench: A Challenging Benchmark for AI-Generated Code Detection](https://md.research.elamur.ai/free/en/papers/orel-2026-aicd-bench-challenging-benchmark-ai/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Daniil Orel, Dilshod Azizov, Indraneil Paul, et al.*2026 · 23 citations*
79. [**Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims arXiv:2109.15118 · CLEF-2019**Tamer Elsayed, Preslav Nakov, Alberto Barron-Cedeno, et al.*2019 · 23 citations*](https://md.research.elamur.ai/free/en/papers/elsayed-2021-overview-clef-2019-checkthat-automatic/)
80. **[MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering? ↗](https://aclanthology.org/S16-1137/) Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) · no summary yet**Francisco Guzmán, Preslav Nakov, Lluís Màrquez*2016 · 23 citations*
81. **[Arabic Dataset for LLM Safeguard Evaluation](https://md.research.elamur.ai/free/en/papers/ashraf-2025-arabic-dataset-llm-safeguard-evaluation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yasser Ashraf, Yuxia Wang, Bin Gu, et al.*2025 · 22 citations*
82. **[Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models](https://md.research.elamur.ai/free/en/papers/gao-2025-shaping-safety-boundaries-understanding-defending/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lang Gao, Jiahui Geng, Xiangliang Zhang, et al.*2025 · 19 citations*
83. **[Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect](https://md.research.elamur.ai/free/en/papers/shang-2025-atlas-chat-adapting-large-language/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Guokan Shang, Hadi Abdine, Yousef Khoubrane, et al.*2025 · 18 citations*
84. **[Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework](https://md.research.elamur.ai/free/en/papers/xu-2025-aristotle-mastering-logical-reasoning-logic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jundong Xu, Hao Fei, Meng Luo, et al.*2025 · 16 citations*
85. **[BALSAM: A Platform for Benchmarking Arabic Large Language Models](https://md.research.elamur.ai/free/en/papers/matham-2025-balsam-platform-benchmarking-arabic-large/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Rawan Al-Matham, Kareem Darwish, Raghad Al-Rasheed, et al.*2025 · 14 citations*
86. **[Paraphrasing Verbs for Noun Compound Interpretation ↗](https://arxiv.org/abs/1911.08762) arXiv:1911.08762 · MWE-2008 · no summary yet**Preslav Nakov*2008 · 11 citations*
87. **[Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models](https://md.research.elamur.ai/free/en/papers/vazhentsev-2025-unconditional-truthfulness-learning-unconditional-uncertainty/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, et al.*2025 · 10 citations*
88. **[DialectalArabicMMLU: Benchmarking Dialectal Capabilities in Arabic and Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/altakrori-2026-dialectalarabicmmlu-benchmarking-dialectal-capabilities-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Malik H. Altakrori, Nizar Habash, Teresa Lynn, et al.*2026 · 9 citations*
89. **[Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts](https://md.research.elamur.ai/free/en/papers/shang-2025-nile-chat-egyptian-language-models/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Guokan Shang, Hadi Abdine, Ahmad Chamma, et al.*2025 · 9 citations*
90. **[FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering](https://md.research.elamur.ai/free/en/papers/zhou-2026-fincards-card-based-analyst-reranking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yixi Zhou, Fan Zhang, YU Chen, et al.*2026 · 8 citations*
91. **[Exploring the Limitations of Detecting Machine-Generated Text](https://md.research.elamur.ai/free/en/papers/doughman-2025-exploring-limitations-detecting-machine-generated/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin, et al.*2025 · 7 citations*
92. **[IITD at WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection](https://md.research.elamur.ai/free/en/papers/mittal-2022-iitd-wanlp-2022-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Shubham Mittal, Preslav Nakov*2022 · 7 citations*
93. **[Can LLMs Automate Fact-Checking Article Writing?](https://md.research.elamur.ai/free/en/papers/sahnan-2026-can-llms-automate-fact-checking/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Dhruv Sahnan, David Corney, Irene Larraz, et al.*2026 · 5 citations*
94. **[Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015 ↗](https://arxiv.org/abs/1606.05759) arXiv:1606.05759 · no summary yet**Hassan Sajjad et al.*2016 · 5 citations*
95. **[FAID: Fine-grained AI-generated Text Detection using Multi-task Auxiliary and Multi-level Contrastive Learning](https://md.research.elamur.ai/free/en/papers/ta-2026-faid-fine-grained-ai-generated/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Minh Ngoc Ta, Dong Cao Van, Duc-Anh Hoang, et al.*2026 · 3 citations*
96. **[LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch ↗](https://arxiv.org/abs/2501.07124) arXiv (Cornell University) · no summary yet**Zhengzhong Liu et al.*2025 · 3 citations*
97. **[COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations](https://md.research.elamur.ai/free/en/papers/xing-2026-communitynotes-dataset-exploring-helpfulness-fact/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rui Xing, Preslav Nakov, Timothy Baldwin, et al.*2026 · 2 citations*
98. **[Instruction-Guided Poetry Generation in Arabic and Its Dialects](https://md.research.elamur.ai/free/en/papers/sadallah-2026-instruction-guided-poetry-generation-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abdelrahman Sadallah, Kareem Elozeiri, Mervat Abassy, et al.*2026 · 2 citations*
99. **[Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-crowd-llm-augmented-community/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiaying Wu, Zihang Fu, Haonan Wang, et al.*2026 · 1 citation*
100. [**Can Dialects Be Steered Like Languages? Sparse Neurons and Distributed Directions in Arabic LLMs arXiv:2607.03936**Kareem Elozeiri, Mervat Abassy, Omar Kallas, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elozeiri-2026-dialects-steered-like-languages-sparse/)

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