Blockchain technology faces scalability challenges because transactions must be validated and recorded across the network. Payment channel networks (PCNs) improve efficiency by moving transactions off-chain and recording only critical interactions on the mainnet. However, PCNs require pre-deposited channel balances (su...
Shu-Yao Xiao, Sheng-Ling Wang, Hong-Wei Shi et al.· 0 citations
Large language model agents rely on external harnesses to pass information between the model and its environment and to recover from execution errors. Yet recovery is usually judged only by average task success. This hides an important tension. The same operation can rescue a failing trajectory or disrupt one that woul...
Shu-Yao Xiao, Sheng-Ling Wang, Xuan Chen et al.· 0 citations
Deep Research agents synthesize evidence into cited reports, yet a well-cited report can still reach a misleading conclusion. Citation correctness checks whether cited sources support individual claims. It does not show whether adaptive search exposed a representative view of all documents made available for evaluation...
Shu-Yao Xiao, Sheng-Ling Wang, Xuan Chen et al.· 0 citations
Results show that causal-drive trajectories provide complementary source-level diagnostics for multimodal generation and show a consistent transition from stronger early question and visual guidance toward increasing reliance on generated prefixes.
Shu-Yao Xiao, Sheng-Ling Wang, Hao-Yu Niu et al.· 0 citations
A structural causal model (SCM)-based framework for cross-turn error propagation in memory-augmented LLMs is proposed, and experiments show that error influence generally decays with interaction distance, while the memory-update pathway contributes more persistent effects than question feedback.
Shu-Yao Xiao, Sheng-Ling Wang, Xuan Chen et al.· 0 citations
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