1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.MA2025
Adaptive Coopetition: Leveraging Coarse Verifier Signals for Resilient Multi-Agent LLM Reasoning
Rui Jerry Huang, Wendy Liu, Anastasia Miin +1
Inference-time computation is a critical yet challenging paradigm for enhancing the reasoning performance of large language models (LLMs). While existing strategies improve reasoni…
cs.CV2024★ 1 cited
Right this way: Can VLMs Guide Us to See More to Answer Questions?
Li Liu, Diji Yang, Sijia Zhong +4
In question-answering scenarios, humans can assess whether the available information is sufficient and seek additional information if necessary, rather than providing a forced answ…
cs.CV2024
Dual-Model Distillation for Efficient Action Classification with Hybrid Edge-Cloud Solution
Timothy Wei, Hsien Xin Peng, Elaine Xu +3
As Artificial Intelligence models, such as Large Video-Language models (VLMs), grow in size, their deployment in real-world applications becomes increasingly challenging due to har…