3 papers
cs.CV2026
Learning Consistent Temporal Grounding between Related Tasks in Sports Coaching
Arushi Rai, Adriana Kovashka
Video-LLMs often attend to irrelevant frames, which is especially detrimental for sports coaching tasks requiring precise temporal grounding. Yet obtaining frame-level supervision…
cs.CL2026
TARo: Token-level Adaptive Routing for LLM Test-time Alignment
Arushi Rai, Qiang Zhang, Hanqing Zeng +5
Large language models (LLMs) exhibit strong reasoning capabilities but typically require expensive post-training to reach high performance. Recent test-time alignment methods offer…
cs.CV2026
Generalizing Sports Feedback Generation by Watching Competitions and Reading Books: A Rock Climbing Case Study
Arushi Rai, Adriana Kovashka
While there is rapid progress in video-LLMs with advanced reasoning capabilities, prior work shows that these models struggle on the challenging task of sports feedback generation…