| Bloom: A 176b-parameter open-access multilingual language model BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ... arXiv preprint arXiv:2211.05100, 2022 | 2292 | 2022 |
| Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities G Gemini Team | 1321* | 2025 |
| Why we need new evaluation metrics for NLG J Novikova, O Dušek, AC Curry, V Rieser arXiv preprint arXiv:1707.06875, 2017 | 664 | 2017 |
| The E2E dataset: New challenges for end-to-end generation J Novikova, O Dušek, V Rieser arXiv preprint arXiv:1706.09254, 2017 | 559 | 2017 |
| Benchmarking natural language understanding services for building conversational agents X Liu, A Eshghi, P Swietojanski, V Rieser Increasing naturalness and flexibility in spoken dialogue interaction: 10th …, 2021 | 357 | 2021 |
| SLURP: A spoken language understanding resource package E Bastianelli, A Vanzo, P Swietojanski, V Rieser arXiv preprint arXiv:2011.13205, 2020 | 304 | 2020 |
| Evaluating the state-of-the-art of end-to-end natural language generation: The e2e nlg challenge O Dušek, J Novikova, V Rieser Computer Speech & Language 59, 123-156, 2020 | 296 | 2020 |
| Twenty years of confusion in human evaluation: NLG needs evaluation sheets and standardised definitions DM Howcroft, A Belz, M Clinciu, D Gkatzia, SA Hasan, S Mahamood, ... Proceedings of the 13th international conference on natural language …, 2020 | 283 | 2020 |
| An arabic twitter corpus for subjectivity and sentiment analysis E Refaee, V Rieser 9th International Language Resources and Evaluation Conference, 2268-2273, 2014 | 233 | 2014 |
| Sociotechnical safety evaluation of generative ai systems L Weidinger, M Rauh, N Marchal, A Manzini, LA Hendricks, ... arXiv preprint arXiv:2310.11986, 2023 | 227 | 2023 |
| Reinforcement learning for adaptive dialogue systems: a data-driven methodology for dialogue management and natural language generation V Rieser, O Lemon Springer Science & Business Media, 2011 | 212 | 2011 |
| The ethics of advanced ai assistants I Gabriel, A Manzini, G Keeling, LA Hendricks, V Rieser, H Iqbal, ... arXiv preprint arXiv:2404.16244, 2024 | 145 | 2024 |
| Findings of the E2E NLG challenge O Dušek, J Novikova, V Rieser arXiv preprint arXiv:1810.01170, 2018 | 140 | 2018 |
| Mirages: On anthropomorphism in dialogue systems G Abercrombie, AC Curry, T Dinkar, V Rieser, Z Talat arXiv preprint arXiv:2305.09800, 2023 | 137 | 2023 |
| RankME: Reliable human ratings for natural language generation J Novikova, O Dušek, V Rieser arXiv preprint arXiv:1803.05928, 2018 | 137 | 2018 |
| Semantic noise matters for neural natural language generation O Dušek, DM Howcroft, V Rieser arXiv preprint arXiv:1911.03905, 2019 | 135 | 2019 |
| Anticipating safety issues in e2e conversational ai: Framework and tooling E Dinan, G Abercrombie, AS Bergman, S Spruit, D Hovy, YL Boureau, ... arXiv preprint arXiv:2107.03451, 2021 | 133 | 2021 |
| # MeToo Alexa: how conversational systems respond to sexual harassment AC Curry, V Rieser Proceedings of the second acl workshop on ethics in natural language …, 2018 | 130 | 2018 |
| Natural language generation as planning under uncertainty for spoken dialogue systems V Rieser, O Lemon Empirical methods in natural language generation, 105-120, 2009 | 127 | 2009 |
| Data-to-text generation improves decision-making under uncertainty D Gkatzia, O Lemon, V Rieser IEEE Computational Intelligence Magazine 12 (3), 10-17, 2017 | 125* | 2017 |
Oliver LemonProfessor; Academic Lead National Robotarium; Director of Interaction Lab, EdinburghVerified email at hw.ac.uk
