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Papers, awards, talks and other updates from Sushil Awale's research on multimodal information retrieval.
- Our panel Photographs from Colonial Contexts in Cultural Heritage Collections. AI-Supported Approaches to Sensitive Image and Text Contents was accepted at the DHD 2027 conference (Digital Humanities im deutschsprachigen Raum).
- award Our paper Examining Gender and Racial Bias in Vision-language Models within Colonial Contexts (Awale et al., WebSci 2026) wins Best Poster Paper Award at ACM Web Science Conference 2026.
- Our paper Examining Gender and Racial Bias in Vision-language Models within Colonial Contexts (Awale et al., WebSci 2026) accepted as poster paper at ACM Web Science Conference 2026.
- Started as Research Associate in the Multimodal Modelling and Machine Learning (M3L) team at Universität Marburg, alongside my position at TIB.
- Presented a hands-on full-day tutorial with Eric Müller-Budack titled Fusing Vision and Language: A Tutorial on Vision-Language Models for Multimodal Content Analysis at KONVENS 2025 - Conference on Natural Language Processing in Hildesheim, Germany. Slides and materials can be found here.
- Our paper Exploring Patents Visually: An Interactive Search System for Multimodal Patent Image Search and Interpretation (Awale et al., PatentSemTech@SIGIR 2025) accepted in PatentSemTech Workshop at SIGIR 2025.
- Our paper Patent Figure Classification using Large Vision-language Models (Awale et al., ECIR 2025) accepted as full paper at ECIR 2025.
- Started working as Research Associate in the Visual Analytics Research Group at TIB, Hannover, Germany.
- Our paper DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph (Banerjee et al., BIR 2023) accepted in BIR Workshop at ECIR 2023.
- Our paper ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System (Banerjee et al., SDU@AAAI 2023) accepted in SDU Workshop at AAAI 2023.