collaborators

7 papers

cs.AI2026

RealCQA-V2: A Diagnostic Benchmark for Structured Visual Entailment over Scientific Charts

Saleem Ahmed, Srirangaraj Setlur, Venu Govindaraju

Multimodal reasoning models often produce fluent answers supported by seemingly coherent rationales. Existing benchmarks evaluate only final-answer correctness. They do not support…

cs.CV2026

ConfusionBench: An Expert-Validated Benchmark for Confusion Recognition and Localization in Educational Videos

Lu Dong, Xiao Wang, Mark Frank +3

Recognizing and localizing student confusion from video is an important yet challenging problem in educational AI. Existing confusion datasets suffer from noisy labels, coarse temp…

cs.AI2026

InterventionLens: A Multi-Agent Framework for Detecting ASD Intervention Strategies in Parent-Child Shared Reading

Xiao Wang, Lu Dong, Ifeoma Nwogu +2

Home-based interventions like parent-child shared reading provide a cost-effective approach for supporting children with autism spectrum disorder (ASD). However, analyzing caregive…

cs.RO2026

MistyPilot: An Agentic Fast-Slow Thinking LLM Framework for Misty Social Robots

Xiao Wang, Lu Dong, Jingchen Sun +3

With the availability of open APIs in social robots, it has become easier to customize general-purpose tools to meet users' needs. However, interpreting high-level user instruction…

cs.CV2026

LLM Augmented Intervenable Multimodal Adaptor for Post-operative Complication Prediction in Lung Cancer Surgery

Shubham Pandey, Bhavin Jawade, Srirangaraj Setlur +2

Postoperative complications remain a critical concern in clinical practice, adversely affecting patient outcomes and contributing to rising healthcare costs. We present MIRACLE, a…

cs.RO2025

AutoMisty: A Multi-Agent LLM Framework for Automated Code Generation in the Misty Social Robot

Xiao Wang, Lu Dong, Sahana Rangasrinivasan +3

The social robot's open API allows users to customize open-domain interactions. However, it remains inaccessible to those without programming experience. In this work, we introduce…