| AutoQA: From databases to QA semantic parsers with only synthetic training data S Xu, S Semnani, G Campagna, M Lam Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 46 | 2020 |
| WikiChat: Stopping the hallucination of large language model chatbots by few-shot grounding on Wikipedia S Semnani, V Yao, H Zhang, M Lam Findings of the Association for Computational Linguistics: EMNLP 2023, 2387-2413, 2023 | 25 | 2023 |
| Localizing open-ontology QA semantic parsers in a day using machine translation M Moradshahi, G Campagna, SJ Semnani, S Xu, MS Lam arXiv preprint arXiv:2010.05106, 2020 | 20 | 2020 |
| A few-shot semantic parser for Wizard-of-Oz dialogues with the precise ThingTalk representation G Campagna, SJ Semnani, R Kearns, LJK Sato, S Xu, MS Lam arXiv preprint arXiv:2009.07968, 2020 | 11 | 2020 |
| BERT-A: Finetuning BERT with Adapters and Data Augmentation S Semnani, KR Sadagopan, F Tlili Standford University 1, 2790-2799, 2019 | 11 | 2019 |
| Revisiting the open-domain question answering pipeline SJ Semnani, M Pandey arXiv preprint arXiv:2009.00914, 2020 | 10 | 2020 |
| Fine-tuned llms know more, hallucinate less with few-shot sequence-to-sequence semantic parsing over wikidata S Xu, S Liu, T Culhane, E Pertseva, MH Wu, S Semnani, M Lam The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 9 | 2023 |
| Wikichat: A few-shot llm-based chatbot grounded with wikipedia SJ Semnani, VZ Yao, HC Zhang, MS Lam arXiv preprint arXiv:2305.14292, 2023 | 6 | 2023 |
| Thingtalk: an extensible, executable representation language for task-oriented dialogues MS Lam, G Campagna, M Moradshahi, SJ Semnani, S Xu arXiv preprint arXiv:2203.12751, 2022 | 6 | 2022 |
| X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents M Moradshahi, T Shen, K Bali, M Choudhury, G de Chalendar, A Goel, ... arXiv preprint arXiv:2306.17674, 2023 | 4 | 2023 |
| Complementing GPT-3 with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata S Xu, T Culhane, MH Wu, SJ Semnani, MS Lam arXiv preprint arXiv:2305.14202, 2023 | 4 | 2023 |
| Zero and few-shot localization of task-oriented dialogue agents with a distilled representation M Moradshahi, SJ Semnani, MS Lam arXiv preprint arXiv:2302.09424, 2023 | 4 | 2023 |
| Domain-specific question answering at scale for conversational systems SJ Semnani, M Pandey, M Pandey 3rd NeurIPS Conversational AI Workshop, 2019 | 4 | 2019 |
| House price prediction using satellite imagery SJ Semnani, H Rezaei arXiv preprint arXiv:2105.06060, 2021 | 3 | 2021 |
| SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing HC Zhang, SJ Semnani, F Ghassemi, J Xu, S Liu, MS Lam arXiv preprint arXiv:2406.00562, 2024 | | 2024 |
| Benchmark Underestimates the Readiness of Multi-lingual Dialogue Agents AH Lee, SJ Semnani, G Castillo-López, G de Chalendar, M Choudhury, ... arXiv preprint arXiv:2405.17840, 2024 | | 2024 |
| SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models S Liu, J Xu, W Tjangnaka, SJ Semnani, CJ Yu, G Dávid, MS Lam arXiv preprint arXiv:2311.09818, 2023 | | 2023 |
Monica S. LamProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
