Collaborative research exploring multimodal question answering using OCR, RAG, and document/image understanding techniques.
Quasar PoC, Multitenant PoC.
For the work on "MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing"
(IJCNLP-AACL 2025) MAMMQA: Rethinking Information Synthesis in Multimodal Question Answering from a Multi-Agent Perspective
MMTabReal is a benchmark suite for multimodal table reasoning on real-world tables with mixed text, images, charts, maps, and visual encodings. It includes curated QA pairs, baseline implementations, and evaluation scripts for multimodal table understanding research.
[NeurIPS 2026] EDMA: Entropy-Driven Multimodal Answering
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