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Author

Shima Asaadi

Observed name: Asaadi, Shima
ORCID: 0000-0003-3905-1107
Observed ORCID: 0000-0003-3905-1107
OpenAlex ID: A5022845753
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
2022 · Srivastava, Aarohi, Rastogi, Abhinav, et al. · arXiv (Cornell University) · 2,046
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Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering
2024 · Cuong Ha, Shima Asaadi, et al. · Clinical Natural Language Processing Workshop (ClinicalNLP) · 24
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Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition
2019 · Shima Asaadi, Saif Mohammad, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 20
Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains
2022 · Anna Sauer, Shima Asaadi, et al. · Workshop on NLP for Conversational AI (NLP4ConvAI) · 17
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TQOR: Trust-based QoS-oriented routing in cognitive MANETs
2017 · Shima Asaadi, Kiana Alikhademi, et al. · IEEE International Symposium on Network Computing and Applications (NCA) · 4
Gradual Learning of Matrix-Space Models of Language for Sentiment Analysis
2017 · Shima Asaadi, Sebastian Rudolph · Workshop on Representation Learning for NLP (RepL4NLP) · 4
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Compositional matrix-space models of language: Definitions, properties, and learning methods
2021 · Shima Asaadi, Eugenie Giesbrecht, et al. · Natural Language Engineering · 2
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GiCCS: A German in-Context Conversational Similarity Benchmark
2022 · Asaadi, Shima, Kolagar, Zahra, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
On the Correspondence between Compositional Matrix-Space Models of Language and Weighted Automata
2016 · Shima Asaadi, Sebastian Rudolph · 1
Healthcare in the Age of LLMs
2026 · Rikhiya Ghosh, Shima Asaadi, et al. · CRC Press eBooks
GiCCS: A German in-Context Conversational Similarity Benchmark
2022 · Shima Asaadi, Zahra Kolagar, et al. · Workshop on Generation, Evaluation and Metrics (GEM)
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Big BiRD: a large, fine-grained, bigram relatedness dataset for examining semantic composition
2019 · Asaadi, Shima, Mohammad, Saif M., et al. · NPARC
Works count: 18
Citation count: 2,119
H-index: 4
I10-index: 4
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