Interactive agents need fine-grained long-video understanding. Current Video-LLMs remain brittle when relevant evidence is subtle or sparse. Fixed frame budgets force rich streams into a few sampled frames and often discard decisive cues. We introduce Video* Bench, a benchmark with 2,212 real-world videos and ten tasks...
Rui-Zhe Chen, Zhi-Ting Fan, Yang Shi et al.· 1 citation
CDEG, a graph-based framework that learns reusable decision-critical evidence from historical diagnostic trajectories, is introduced, demonstrating that reliable long-horizon diagnosis requires moving beyond trajectory-level experience reuse toward evidence-level learning of the factors that truly shape clinical decisi...
Xi-Wei Dai, Zi-Jie Meng, Zhiting Fan et al.· 0 citations
Aligning over 210k synthetic preference samples, BridgeAlign enables Qwen3-8B to achieve the best average across 17 benchmarks against 11 strong baselines, leading on both human-preference and knowledge-based capabilities at once, with no trade-off between them.
This work introduces LongMedBench, a real-world EHR-based benchmark for long-horizon clinical decision-making, and proposes an evaluation taxonomy with three suites: fact-based QA, temporal reasoning, and long-horizon decision-making.
