collaborators

14 papers

cs.CV2026

See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding

Shuning Wang, Zhiheng Wu, YiNuo Lu +6

Recent advances in Video Large Language Models (Video-LLMs) have enabled performance on long-video understanding tasks. However, existing methods still face two key limitations: ev…

cs.CY2026

Scalable Generation and Validation of Isomorphic Physics Problems with GenAI

Naiming Liu, Leo Murch, Spencer Moore +4

Traditional synchronous STEM assessments face growing challenges including accessibility barriers, security concerns from resource-sharing platforms, and limited comparability acro…

cs.CV2026

MedHorizon: Towards Long-context Medical Video Understanding in the Wild

Bodong Du, Bowen Liu, Yang Yu +8

Medical multimodal large language models (MLLMs) have advanced image understanding and short-video analysis, but real clinical review often requires full-procedure video understand…

cs.CV2026

See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection

Zhiheng Wu, Tong Wang, Shuning Wang +2

Recent advances in Vision-Language Models (VLMs) have benefited from Reinforcement Learning (RL) for enhanced reasoning. However, existing methods still face critical limitations,…

cs.CY2026

Misconception Acquisition Dynamics in Large Language Models

Naiming Liu, Xinghe Chen, Richard Baraniuk +2

Effective educational AI depends on modeling student misconceptions. Such models enable realistic learner simulation and diagnostic, adaptive tutoring. However, instruction-tuning…

cs.LG2026

Circuit Complexity of Hierarchical Knowledge Tracing and Implications for Log-Precision Transformers

Naiming Liu, Richard Baraniuk, Shashank Sonkar

Knowledge tracing models mastery over interconnected concepts, often organized by prerequisites. We analyze hierarchical prerequisite propagation through a circuit-complexity lens…