| Smoothing the Geometry of Probabilistic Box Embeddings X Li, L Vilnis, D Zhang, M Boratko, A McCallum International Conference on Learning Representations, 2019 | 100 | 2019 |
| Modeling Fine-Grained Entity Types with Box Embeddings Y Onoe, M Boratko, G Durrett arXiv preprint arXiv:2101.00345, 2021 | 76 | 2021 |
| A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset M Boratko, H Padigela, D Mikkilineni, P Yuvraj, R Das, A McCallum, ... Proceedings of the Workshop on Machine Reading for Question Answering …, 2018 | 65 | 2018 |
| Improving Local Identifiability in Probabilistic Box Embeddings SS Dasgupta, M Boratko, D Zhang, L Vilnis, XL Li, A McCallum Advances in Neural Information Processing Systems, 2020 | 61 | 2020 |
| ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning M Boratko, XL Li, R Das, T O'Gorman, D Le, A McCallum Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 54 | 2020 |
| Probabilistic box embeddings for uncertain knowledge graph reasoning X Chen, M Boratko, M Chen, SS Dasgupta, XL Li, A McCallum arXiv preprint arXiv:2104.04597, 2021 | 51 | 2021 |
| Gecko: Versatile text embeddings distilled from large language models J Lee, Z Dai, X Ren, B Chen, D Cer, JR Cole, K Hui, M Boratko, ... arXiv preprint arXiv:2403.20327, 2024 | 49 | 2024 |
| Modeling label space interactions in multi-label classification using box embeddings D Patel, P Dangati, JY Lee, M Boratko, A McCallum ICLR 2022 Poster, 2022 | 32 | 2022 |
| Representing Joint Hierarchies with Box Embeddings D Patel, SS Dasgupta, M Boratko, XL Li, L Vilnis, A McCallum Automated Knowledge Base Construction, 2020 | 25 | 2020 |
| Word2box: Capturing set-theoretic semantics of words using box embeddings SS Dasgupta, M Boratko, S Mishra, S Atmakuri, D Patel, XL Li, ... arXiv preprint arXiv:2106.14361, 2021 | 24* | 2021 |
| Box embeddings: An open-source library for representation learning using geometric structures T Chheda, P Goyal, T Tran, D Patel, M Boratko, SS Dasgupta, ... arXiv preprint arXiv:2109.04997, 2021 | 13 | 2021 |
| Capacity and bias of learned geometric embeddings for directed graphs M Boratko, D Zhang, N Monath, L Vilnis, KL Clarkson, A McCallum Advances in Neural Information Processing Systems 34, 16423-16436, 2021 | 12 | 2021 |
| Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? J Lee, A Chen, Z Dai, D Dua, DS Sachan, M Boratko, Y Luan, SMR Arnold, ... arXiv preprint arXiv:2406.13121, 2024 | 10 | 2024 |
| Min/Max Stability and Box Distributions M Boratko, J Burroni, SS Dasgupta, A McCallum Uncertainty in Artificial Intelligence, 2021 | 7 | 2021 |
| An Interface for Annotating Science Questions M Boratko, H Padigela, D Mikkilineni, P Yuvraj, R Das, A McCallum, ... Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 7 | 2018 |
| Modeling transitivity and cyclicity in directed graphs via binary code box embeddings D Zhang, M Boratko, C Musco, A McCallum Advances in Neural Information Processing Systems 35, 10587-10599, 2022 | 6 | 2022 |
| Box-to-box transformations for modeling joint hierarchies SS Dasgupta, XL Li, M Boratko, D Zhang, A McCallum Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP …, 2021 | 6 | 2021 |
| An evaluative measure of clustering methods incorporating hyperparameter sensitivity S Mishra, N Monath, M Boratko, A Kobren, A McCallum Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7788-7796, 2022 | 5 | 2022 |
| Can long-context language models subsume retrieval, rag, sql, and more?, 2024 J Lee, A Chen, Z Dai, D Dua, DS Sachan, M Boratko, Y Luan, SMR Arnold, ... URL https://arxiv. org/abs/2406.13121, 0 | 5 | |
| A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks N Monath, W Grathwohl, M Boratko, R Fergus, A McCallum, M Zaheer arXiv preprint arXiv:2409.01890, 2024 | | 2024 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
