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Ke Yang

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#natural language process... Preprint Sep 2026

MedProb: Probing Internal Representations of Vision-Language Models for Medical Question Answering

This work presents MedProb, a lightweight probing framework that predicts multiple-choice Med-VQA answers from frozen VLM representations without free-text generation, and shows the probe can be extended to open-ended generation via a rejection-sampling scoring procedure.

E. Nourbakhsh, Ke Yang, Anthony Rios · 0 citations
#natural language process... Preprint Sep 2026

StudentSim: Training LLM-based Student Simulators

This work presents StudentSim, a training framework that turns sparse per-student data into individualized simulators through pooled training followed by per-student specialization, and introduces StudentSimEval, a standardized protocol covering 60 students across chess, second-language English writing, and mathematics...

Ke Yang, Chenglong Wang, Michel Galley et al. · 1 citation
Jul 2026

TRACER: Early Failure Detection for Task-Oriented Dialogue

TRACER detects useful failure signals well before the end of the conversation and outperforms heuristic, classical, and single-stream baselines, suggesting that early failure detection can provide a practical warning signal for dialogue systems before the interaction fully breaks down.

E. Nourbakhsh, Rocky Slavin, Ke Yang et al. · 0 citations
Preprint Aug 2026

VGI-Bench: Probing Visual Intelligence in Video Generation Models

VGI-bench is introduced, containing 27 tasks and 810 instances, organized by a two-level taxonomy of task domains and skill tags for fine-grained evaluation of visual reasoning capabilities of video generation models, and it is hoped VGI-bench will help stimulate the development of next-generation video generation mode...

Xuan He, Cong Wei, Yuhao Cheng et al. · 3 citations

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