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cs.AI2026
When Seeing Is Not Enough: Benchmarking Interactive Visual Grounding in LVLMs
Zhengxiang Wang, Owen Rambow
Visual grounding is typically evaluated as a one-shot mapping from an informative referring expression to a visual target. This formulation misses a central property of real-world…
cs.AI2024
Evaluating LLMs with Multiple Problems at once
Zhengxiang Wang, Jordan Kodner, Owen Rambow
This paper shows the benefits and fruitfulness of evaluating LLMs with multiple problems at once, a paradigm we call multi-problem evaluation (MPE). Unlike conventional single-prob…