Organizing Committee
Applied Scientist on the Amazon AGI Foundations team, with research experience in legal NLP, document-centric NLP, and community-building across ACL and EMNLP workshops.
Principal Applied Scientist in Oracle AI working on unstructured, structured, and multilingual retrieval, evaluation, and source-linked generation across CV, IR, NLP, and multimodal systems.
Assistant Professor developing NLP methods for complex and semi-structured data such as tables, forms, flowcharts, and maps, with emphasis on structure-aware reasoning and evaluation.
Assistant Professor in NLP at MBZUAI, working on interpretability, fine-grained vision-language representation and generation, and cultural adaptation of multimodal systems.
Research Scientist at Adobe Research working on natural language processing, computational social science, bias detection and mitigation, document intelligence, and information extraction.
Workshop Challenge Organizers
Works on agentic memory, tool use, and reliable reasoning for LLM and agent systems, with additional research on structured information and exact algorithmic tasks.
Large-scale multimodal data pipelines, synthetic generation workflows, and evaluation benchmarks.
Leads applied research on multilingual and multimodal enterprise AI, including evaluation, agentic routing, and guardrails for languages and domains underserved by frontier models.
Provides technical and organizational leadership across Abaka AI and the DrDocBench challenge, spanning benchmark design, model evaluation, and data quality.
Develops multimodal and multi-task AI for healthcare, while evaluating the fidelity, calibration, and robustness of language-model reasoning over complex clinical data.
Works on Abaka AI's research and challenge initiatives in multimodal AI, with a focus on data curation, model evaluation, human-in-the-loop workflows, and challenge operations.
Program Committee
Multimodal reasoning, QA over structured and unstructured data, and speech/audio reasoning.
Contact
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