| Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 21203 | 2023 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv e-prints, arXiv: 2407.21783, 2024 | 12293* | 2024 |
| OPT: Open pre-trained transformer language models S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ... arXiv preprint arXiv:2205.01068, 2022 | 5260* | 2022 |
| Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering T Mihaylov, P Clark, T Khot, A Sabharwal EMNLP 2018 - 2018 Conference on Empirical Methods in Natural Language …, 2018 | 2109 | 2018 |
| Few-shot learning with multilingual generative language models XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ... Proceedings of the 2022 conference on empirical methods in natural language …, 2022 | 349* | 2022 |
| Opt-iml: Scaling language model instruction meta learning through the lens of generalization S Iyer, XV Lin, R Pasunuru, T Mihaylov, D Simig, P Yu, K Shuster, T Wang, ... arXiv preprint arXiv:2212.12017, 2022 | 320* | 2022 |
| Efficient large scale language modeling with mixtures of experts M Artetxe, S Bhosale, N Goyal, T Mihaylov, M Ott, S Shleifer, ... EMNLP 2022 - Proceedings of the 2022 Conference on Empirical Methods in …, 2021 | 258* | 2021 |
| Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge T Mihaylov, A Frank ACL 2018 - Proceedings of the 56th Annual Meeting of the Association for …, 2018 | 254 | 2018 |
| Jingfei Du XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ... Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary …, 2022 | 252 | 2022 |
| Finding opinion manipulation trolls in news community forums T Mihaylov, G Georgiev, P Nakov CoNLL 2015 - Proceedings of the nineteenth conference on computational …, 2015 | 174 | 2015 |
| Hunting for troll comments in news community forums T Mihaylov, P Nakov ACL 2016 - Proceedings of the 54th Annual Meeting of the Association for …, 2016 | 115 | 2016 |
| Filtering, distillation, and hard negatives for vision-language pre-training F Radenovic, A Dubey, A Kadian, T Mihaylov, S Vandenhende, Y Patel, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 114 | 2023 |
| Improving In-Context Few-Shot Learning via Self-Supervised Training M Chen, J Du, R Pasunuru, T Mihaylov, S Iyer, V Stoyanov, Z Kozareva NAACL 2022 - Proceedings of the 2022 Conference of the North American …, 2022 | 86* | 2022 |
| The dark side of news community forums: opinion manipulation trolls T Mihaylov, T Mihaylova, P Nakov, L Màrquez, GD Georgiev, IK Koychev Internet Research 28 (5), 1292-1312, 2018 | 71 | 2018 |
| Understanding In-Context Learning via Supportive Pretraining Data X Han, D Simig, T Mihaylov, Y Tsvetkov, A Celikyilmaz, T Wang ACL 2023 - Proceedings of the 61st Annual Meeting of the Association for …, 2023 | 68 | 2023 |
| Exposing paid opinion manipulation trolls T Mihaylov, I Koychev, G Georgiev, P Nakov RANLP 2015 - Proceedings of the International Conference Recent Advances in …, 2015 | 66 | 2015 |
| EXAMS: A multi-subject high school examinations dataset for cross-lingual and multilingual question answering M Hardalov, T Mihaylov, D Zlatkova, Y Dinkov, I Koychev, P Nakov EMNLP 2020 - Proceedings of the 2020 Conference on Empirical Methods in …, 2020 | 65 | 2020 |
| Llama 2: open foundation and fine-tuned chat models. arXiv abs/2307.09288 (2023) H Touvron, L Martin, KR Stone, P Albert, A Almahairi, Y Babaei, ... URL: https://api. semanticscholar. org/CorpusID 259950998, 2023 | 60 | 2023 |
| SemanticZ at SemEval-2016 Task 3: Ranking relevant answers in community question answering using semantic similarity based on fine-tuned word embeddings T Mihaylov, P Nakov SemEval 2016 - Proceedings of the 10th International Workshop on Semantic …, 2016 | 60 | 2016 |
| Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings T Mihaylov, A Frank CoNLL 2016 Shared Task - Proceedings of the Twentieth Conference on …, 2016 | 41 | 2016 |
Xi Victoria LinThinking Machines LabVerified email at thinkingmachines.ai
