Mohit Bansal
2 indexed papers
Recent (6 mo)
2With code
0Influential cites
0Benchmarked
0Publications per year
226
Top categories
AI×2ML×1Vision×1NLP×1
Frequent co-authors
Research Timeline
2026
Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?
This paper introduces a new evaluation framework, SpatialUncertain, demonstrating that current Vision-Language Models (VLMs) are prone to overconfident and incorrect answers to spatial questions when visual evidence is incomplete or misleading.
GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization
This paper demonstrates that Large Language Models (LLMs) can serve as accurate and selective surrogates for costly GPU kernel performance measurements, significantly expanding the search space for optimizing deep learning kernels.
Highlighted terms show continued research focus across papers
Papers
cs.LGcs.AIRecentMay 29, 2026
GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization
This paper demonstrates that Large Language Models (LLMs) can serve as accurate and selective surrogates for costly GPU kernel performance measurements, significantly expanding the search space for op…
View →
cs.CVcs.AIcs.CLRecentMay 28, 2026