SU-FMI: System Description for SemEval-2014 Task 9 on Sentiment Analysis in Twitter. - Boris Velichkov; Borislav Kapukaranov; Ivan Grozev; Jeni Karanesheva; Todor Mihaylov; Yasen Kiprov; Preslav Nakov; Ivan Koychev; Georgi Georgiev (SemEval@COLING, 2014)

Finding Opinion Manipulation Trolls in News Community Forums. - Todor Mihaylov; Georgi Georgiev; Preslav Nakov (CoNLL, 2015)

Exposing Paid Opinion Manipulation Trolls. - Todor Mihaylov; Ivan Koychev; Georgi Georgiev; Preslav Nakov (RANLP, 2015)

Hunting for Troll Comments in News Community Forums. - Todor Mihaylov; Preslav Nakov (ACL (2), 2016)

Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings. - Todor Mihaylov; Anette Frank (CoNLL Shared Task, 2016)

SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings. - Todor Mihaylov; Preslav Nakov (SemEval@NAACL-HLT, 2016)

SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering. - Tsvetomila Mihaylova; Pepa Gencheva; Martin Boyanov; Ivana Yovcheva; Todor Mihaylov; Momchil Hardalov; Yasen Kiprov; Daniel Balchev; Ivan Koychev; Preslav Nakov; Ivelina Nikolova; Galia Angelova (SemEval@NAACL-HLT, 2016)

AIPHES-HD system at TAC KBP 2016: Neural Event Trigger Span Detection and Event Type and Realis Disambiguation with Word Embeddings. - Todor Mihaylov; Anette Frank (TAC, 2016)

Story Cloze Ending Selection Baselines and Data Examination. - Todor Mihaylov; Anette Frank (LSDSem@EACL, 2017)

Large-Scale Goodness Polarity Lexicons for Community Question Answering. - Todor Mihaylov; Daniel Balchev; Yasen Kiprov; Ivan Koychev; Preslav Nakov (SIGIR, 2017)

Neural Skill Transfer from Supervised Language Tasks to Reading Comprehension. - Todor Mihaylov; Zornitsa Kozareva; Anette Frank (CoRR, 2017)

Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge. - Todor Mihaylov; Anette Frank (ACL (1), 2018)

Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. - Todor Mihaylov; Peter Clark; Tushar Khot; Ashish Sabharwal (EMNLP, 2018)

What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization. - Markus Zopf; Teresa Botschen; Tobias Falke; Benjamin Heinzerling; Ana Marasovic; Todor Mihaylov; Avinesh P. V. S.; Eneldo Loza Mencía; Johannes Fürnkranz; Anette Frank (SNAMS, 2018)

The dark side of news community forums: opinion manipulation trolls. - Todor Mihaylov; Tsvetomila Mihaylova; Preslav Nakov; Lluís Màrquez; Georgi Georgiev; Ivan Koychev (Internet Res., 2018)

Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension. - Todor Mihaylov; Anette Frank (EMNLP/IJCNLP (1), 2019)

EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering. - Momchil Hardalov; Todor Mihaylov; Dimitrina Zlatkova; Yoan Dinkov; Ivan Koychev; Preslav Nakov (EMNLP (1), 2020)

Few-shot Learning with Multilingual Language Models. - Xi Victoria Lin; Todor Mihaylov; Mikel Artetxe; Tianlu Wang; Shuohui Chen; Daniel Simig; Myle Ott; Naman Goyal 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (CoRR, 2021)

Efficient Large Scale Language Modeling with Mixtures of Experts. - Mikel Artetxe; Shruti Bhosale; Naman Goyal 001; Todor Mihaylov; Myle Ott; Sam Shleifer; Xi Victoria Lin; Jingfei Du; Srinivasan Iyer 001; Ramakanth Pasunuru; Giri Anantharaman; Xian Li 003; et al. (CoRR, 2021)

Efficient Large Scale Language Modeling with Mixtures of Experts. - Mikel Artetxe; Shruti Bhosale; Naman Goyal 001; Todor Mihaylov; Myle Ott; Sam Shleifer; Xi Victoria Lin; Jingfei Du; Srinivasan Iyer 001; Ramakanth Pasunuru; Giridharan Anantharaman; Xian Li 003; et al. (EMNLP, 2022)

Few-shot Learning with Multilingual Generative Language Models. - Xi Victoria Lin; Todor Mihaylov; Mikel Artetxe; Tianlu Wang; Shuohui Chen; Daniel Simig; Myle Ott; Naman Goyal 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (EMNLP, 2022)

Improving In-Context Few-Shot Learning via Self-Supervised Training. - Mingda Chen; Jingfei Du; Ramakanth Pasunuru; Todor Mihaylov; Srini Iyer 001; Veselin Stoyanov; Zornitsa Kozareva (NAACL-HLT, 2022)

OPT: Open Pre-trained Transformer Language Models. - Susan Zhang; Stephen Roller; Naman Goyal 001; Mikel Artetxe; Moya Chen; Shuohui Chen; Christopher Dewan; Mona T. Diab; Xian Li 003; Xi Victoria Lin; Todor Mihaylov; Myle Ott; et al. (CoRR, 2022)

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. - Srinivasan Iyer 001; Xi Victoria Lin; Ramakanth Pasunuru; Todor Mihaylov; Daniel Simig; Ping Yu; Kurt Shuster 001; Tianlu Wang; Qing Liu; Punit Singh Koura; Xian Li 003; Brian O'Horo; et al. (CoRR, 2022)

Understanding In-Context Learning via Supportive Pretraining Data. - Xiaochuang Han; Daniel Simig; Todor Mihaylov; Yulia Tsvetkov; Asli Celikyilmaz; Tianlu Wang (ACL (1), 2023)

bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. - Momchil Hardalov; Pepa Atanasova; Todor Mihaylov; Galia Angelova; Kiril Simov; Petya Osenova; Veselin Stoyanov; Ivan Koychev; Preslav Nakov; Dragomir Radev (ACL (1), 2023)

Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. - Filip Radenovic; Abhimanyu Dubey; Abhishek Kadian; Todor Mihaylov; Simon Vandenhende; Yash Patel; Yi Wen 006; Vignesh Ramanathan; Dhruv Mahajan 001 (CVPR, 2023)

Llama 2: Open Foundation and Fine-Tuned Chat Models. - Hugo Touvron; Louis Martin; Kevin Stone; Peter Albert; Amjad Almahairi; Yasmine Babaei; Nikolay Bashlykov; Soumya Batra; Prajjwal Bhargava; Shruti Bhosale; Dan Bikel; Lukas Blecher; et al. (CoRR, 2023)

Knowledge-Enhanced Neural Networks for Machine Reading Comprehension. - Todor Mihaylov (2024)

Optimizing Pretraining Data Mixtures with LLM-Estimated Utility. - William Held; Bhargavi Paranjape; Punit Singh Koura; Mike Lewis; Frank Zhang; Todor Mihaylov (CoRR, 2025)

Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks. - Rylan Schaeffer; Punit Singh Koura; Binh Tang; Ranjan Subramanian; Aaditya K. Singh; Todor Mihaylov; Prajjwal Bhargava; Lovish Madaan; Niladri S. Chatterji; Vedanuj Goswami; Sergey Edunov; Dieuwke Hupkes; et al. (CoRR, 2025)