Real-world fake news is inherently dynamic: evidence within an event accumulates and conflicts over time, while deceptive tactics shift across events. However, most prior work formulates detection as a static, one-shot classification problem over fixed snapshots. This mismatch ignores the lifecycle of news and leaves d...
Beizhe Hu, Qiang Sheng, Hao Mi et al.· Proceedings of the 32nd ACM...· 0 citations
Multi-agent systems are often judged by whether they reach the correct answer. This can miss a distinct failure: collaboration may leave behind a corrupted information state even when the immediate decision is correct. We call this an off-query failure. To study this failure in collaborative decision support, we introd...
He-Run Wan, Jia-Ying Wu, Min-Nan Luo et al.· 0 citations
ST-Omni-R1 is proposed, which integrates FOA-derived semantic and trajectory representations with panoramic visual context and is trained through progressive curriculum learning and reasoning-tree reinforcement learning, and results on three public spatial-audio benchmarks indicate that its learned spatial and motion r...
Zhi Zeng, Cheng Zhang, Ze-Sheng Yang et al.· 2 citations
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