Speakers

Document AI and enterprise document/knowledge systems, with emphasis on real-world document workflows, robustness under OCR and layout noise, and deployment constraints.

Document understanding and long-form text modeling, including summarization, discourse, structure, and methods for reasoning over extended context.

Table reasoning and structured data understanding for language models, closely aligned with tables, forms, structured inputs, and evidence-based document QA.

Benchmarking and reasoning for LLMs, including challenging document-centric reasoning settings such as multi-hop, numerical, and temporal evaluation.