| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... Transactions on Machine Learning Research, 2023, 2023 | 1417 | 2023 |
| NusaCrowd: Open Source Initiative for Indonesian NLP Resources S Cahyawijaya, H Lovenia, AF Aji, GI Winata, B Wilie, R Mahendra, ... ACL 2023, 2023 | 1109 | 2023 |
| The GEM 💎benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... ACL-IJCNLP 2021, 2021 | 167 | 2021 |
| Sequence-based prediction of protein–protein interaction sites with L1-logreg classifier K Dhole, G Singh, PP Pai, S Mondal Journal of theoretical biology 348, 47-54, 2014 | 97 | 2014 |
| NL-Augmenter 🦎 → 🐍 A Framework for Task-Sensitive Natural Language Augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... Northern European Journal of Language Technology 2023, 2023 | 80 | 2023 |
| SPRINGS: prediction of protein-protein interaction sites using artificial neural networks G Singh, K Dhole, PP Pai, S Mondal Journal of Proteomics & Computational Biology, 2014 | 76 | 2014 |
| Syn-QG: Syntactic and shallow semantic rules for question generation KD Dhole, CD Manning arXiv preprint arXiv: 2004.08694, 2020 | 62 | 2020 |
| Is AI Art Another Industrial Revolution in the Making? A Newton, K Dhole AAAI 2023 Workshop on Creative AI Across Modalities, 2023 | 29 | 2023 |
| Genetic regulation of phenotypic plasticity and canalisation in yeast growth A Yadav, K Dhole, H Sinha PloS one 11 (9), e0162326, 2016 | 28 | 2016 |
| Resolving Intent Ambiguities by Retrieving Discriminative Clarifying Questions KD Dhole arXiv preprint arXiv:2008.07559, 2020 | 27 | 2020 |
| Automatic Construction of Evaluation Suites for Natural Language Generation Datasets S Mille, KD Dhole, S Mahamood, L Perez-Beltrachini, V Gangal, M Kale, ... 2021 Conference on Neural Information Processing Systems, 2021 | 20 | 2021 |
| GEMv2: Multilingual NLG Benchmarking in a Single Line of Code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... The 2022 Conference on Empirical Methods in Natural Language Processing, 2022 | 16 | 2022 |
| GenQREnsemble : Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation K Dhole, E Agichtein European Conference on Information Retrieval, 2024, 2024 | 15 | 2024 |
| Differential regulation of cryptic genetic variation shapes the genetic interactome underlying complex traits A Yadav, K Dhole, H Sinha Genome Biology and Evolution 8 (12), 3559-3573, 2016 | 14 | 2016 |
| An Interactive Query Generation Assistant using LLM-based Prompt Modification and User Feedback KD Dhole, R Chandradevan, E Agichtein IARPA, USA - Intelligence Advanced Research Projects Activity - BETTER 2023, 2023 | 8 | 2023 |
| Large Language Models as SocioTechnical Systems K Dhole Proceedings of the Big Picture Workshop, EMNLP 2023, 66-79, 2023 | 7 | 2023 |
| Benchmarking BioRelEx for Entity Tagging and Relation Extraction A Bhatt, KD Dhole arXiv preprint arXiv:2006.00533, 2020 | 7 | 2020 |
| Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries A Shrivastava, K Dhole, A Bhatt, S Raghunath ACL-IJCNLP 2021, 2020 | 6 | 2020 |
| Generative query reformulation using ensemble prompting, document fusion, and relevance feedback KD Dhole, R Chandradevan, E Agichtein arXiv preprint arXiv:2405.17658, 2024 | 5 | 2024 |
| Kaucus: Knowledge Augmented User Simulators for Training Language Model Assistants K Dhole Simulation of Conversational Intelligence in Chat, EACL 2024, 53–65, 2024 | 4* | 2024 |
Eugene AgichteinProfessor of Computer Science, Emory Universityemory.edu의 이메일 확인됨