4 citations · 7 across the 8 of their papers we have counts for
5 papers · 1 filter
The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs
Tejas Anvekar, Fenil Bardoliya, Pavan K. Turaga +2
Recent advances in multimodal large language models (MLLMs) have yielded increasingly powerful models, yet their perceptual capacities remain poorly characterized. In practice, mos…
GETReason: Enhancing Image Context Extraction through Hierarchical Multi-Agent Reasoning
Shikhhar Siingh, Abhinav Rawat, Chitta Baral +1
Publicly significant images from events hold valuable contextual information, crucial for journalism and education. However, existing methods often struggle to extract this relevan…
MMTABREAL: Real-World Benchmark for Multimodal Table Understanding
Prasham Titiya, Jainil Trivedi, Chitta Baral +1
Multimodal tables i.e. tabular layouts interleaved with charts, maps, icons, and color encodings are ubiquitous in real applications yet remain difficult for Multimodal Large Langu…
Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective
Krishna Singh Rajput, Tejas Anvekar, Chitta Baral +1
Recent advances in multimodal question answering have primarily focused on combining heterogeneous modalities or fine-tuning multimodal large language models. While these approache…
Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents
Shrinidhi Kumbhar, Venkatesh Mishra, Kevin Coutinho +3
Materials discovery and design are essential for advancing technology across various industries by enabling the development of application-specific materials. Recent research has l…