Shima Asaadi

4 papers · 2019–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

NAACL (2) ACL (1) EMNLP (1)

Top co-authors

Thomas Runkler (1) Sanjeev Kumar Karn (1) Oladimeji Farri (1) Svetlana Kiritchenko (1) Fabian Küch (1) Tobias Heimann (1) Alessandra Zarcone (1) Alina Liebel (1) Saif Mohammad (1) Cuong Ha (1)

Research topics

Machine Learning (4) Artificial Intelligence (2) Natural Language Processing (2) Application Areas (2) Applications (2) Core Methods (2) Learning Types (2) Core AI (1) Generation (1) Learning Paradigms (1) Resources & Methods (1) Understanding (1)

Keywords

domain adaptation (2) unsupervised learning (1) few-shot learning (1) knowledge distillation (1) language model evaluation (1) german language (1) intent classification (1) natural language understanding (1) vision-language model (1) medical visual question answering (1) semantic textual similarity (1) conversational language model (1) transformer-based model (1) semantic composition (1) semantic relatedness (1) utterance similarity (1) parameter-efficient training (1) conversational similarity (1) context-dependent similarity (1) model compression (1)

Papers

Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering NAACL 2024 GiCCS: A German in-Context Conversational Similarity Benchmark EMNLP 2022 Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains ACL 2022 Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition NAACL 2019