Get to the point: Summarization with pointer-generator networks A See, PJ Liu, CD Manning Association for Computational Linguistics (ACL), 2017 | 3413 | 2017 |
Improving alignment of dialogue agents via targeted human judgements A Glaese, N McAleese, M Trębacz, J Aslanides, V Firoiu, T Ewalds, ... arXiv preprint arXiv:2209.14375, 2022 | 296 | 2022 |
What makes a good conversation? how controllable attributes affect human judgments A See, S Roller, D Kiela, J Weston North American Chapter of the Association for Computational Linguistics (NAACL), 2019 | 243 | 2019 |
Compression of neural machine translation models via pruning A See, MT Luong, CD Manning Computational Natural Language Learning (CoNLL), 2016 | 215 | 2016 |
Do Massively Pretrained Language Models Make Better Storytellers? A See, A Pappu, R Saxena, A Yerukola, CD Manning Computational Natural Language Learning (CoNLL), 2019 | 149 | 2019 |
Ramsey vs. lexicographic termination proving B Cook, A See, F Zuleger Tools and Algorithms for the Construction and Analysis of Systems: 19th …, 2013 | 118 | 2013 |
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations A Paranjape, A See, K Kenealy, H Li, A Hardy, P Qi, KR Sadagopan, ... 3rd Proceedings of Alexa Prize (Alexa Prize 2019), 2020 | 48 | 2020 |
Understanding and predicting user dissatisfaction in a neural generative chatbot A See, CD Manning Special Interest Group on Discourse and Dialogue (SIGDIAL), 2021 | 28 | 2021 |
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. M Al-Badrashiny, J Bolton, AT Chaganty, K Clark, C Harman, L Huang, ... TAC, 2017 | 18 | 2017 |
The cost of principles: analyzing power in compatibility weighted voting games A See, Y Bachrach, P Kohli Proceedings of the 2014 international conference on Autonomous agents and …, 2014 | 14 | 2014 |
Neural generation meets real people: Building a social, informative open-domain dialogue agent EA Chi, A Paranjape, A See, C Chiam, T Chang, K Kenealy, SK Lim, ... arXiv preprint arXiv:2207.12021, 2022 | 6 | 2022 |
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. AT Chaganty, A Paranjape, J Bolton, M Lamm, J Lei, A See, K Clark, ... TAC, 2017 | 6 | 2017 |
Neural Generation of Open-Ended Text and Dialogue A See Stanford University, 2021 | 2 | 2021 |
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation R Tanno, D Barrett, A Sellergren, S Ghaisas, S Dathathri, A See, J Welbl, ... | 1 | 2024 |