Nakov, Preslav

18 publications

NeurIPS 2025 CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs Roman Vashurin, Maiya Goloburda, Albina Ilina, Aleksandr Rubashevskii, Preslav Nakov, Artem Shelmanov, Maxim Panov

NeurIPS 2025 MuSLR: Multimodal Symbolic Logical Reasoning Jundong Xu, Hao Fei, Yuhui Zhang, Liangming Pan, Qijun Huang, Qian Liu, Preslav Nakov, Min-Yen Kan, William Yang Wang, Mong-Li Lee, Wynne Hsu

ICLRW 2025 Sample-Focused Approach for Robust Uncertainty Quantification in LLMs Roman Vashurin, Maiya Goloburda, Preslav Nakov, Artem Shelmanov, Maxim Panov

ICMLW 2024 Bilingual Adaptation of Monolingual Foundation Models Gurpreet Gosal, Yishi Xu, Gokulakrishnan Ramakrishnan, Rituraj Joshi, Avraham Sheinin, Zhiming Chen, Biswajit Mishra, Sunil Kumar Sahu, Neha Sengupta, Natalia Vassilieva, Joel Hestness, Samujjwal Ghosh, Bokang Jia, Onkar Arun Pandit, Satheesh Katipomu, Samta Kamboj, Rahul Pal, Parvez Mullah, Soundar Balaji Doraiswamy, Karim Chami, Preslav Nakov

NeurIPSW 2024 TART: An Open-Source Tool-Augmented Framework for Explainable Table-Based Reasoning Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov, Min-Yen Kan

NeurIPS 2024 Web2Code: A Large-Scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs 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

AAAI 2023 Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract) Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra

AAAI 2023 What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty

IJCAI 2022 Detecting and Understanding Harmful Memes: A Survey Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty

AAAI 2022 Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein

IJCAI 2021 Automated Fact-Checking for Assisting Human Fact-Checkers Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino

ECML-PKDD 2021 Transformers: "The End of History" for Natural Language Processing? Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov

AAAI 2021 We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic

IJCAI 2020 A Survey on Computational Propaganda Detection Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov

AAAI 2019 Proppy: A System to Unmask Propaganda in Online News Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov

AAAI 2018 Fact Checking in Community Forums Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James R. Glass

ICML 2013 A Non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines Kostadin Georgiev, Preslav Nakov

JAIR 2012 Improving Statistical Machine Translation for a Resource-Poor Language Using Related Resource-Rich Languages Preslav Nakov, Hwee Tou Ng