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Delvin Ce Zhang

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Who Wrote It Is Not Enough: Detecting Who Contributed the Insight

As LLMs increasingly assist scientific writing and peer review, detecting who wrote the text is no longer sufficient: we need to determine who contributed the underlying insight. We introduce Insight Provenance, the task of identifying whether a review insight originates from a human, an LLM, or their hybrid contributi...

Zhuo-Yang Zou, Abolfazl Ansari, Jia-Xi Yang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

BusMA: A Bus Communication Substrate for Multi-Agent Systems

This work proposes BusMA, a communication framework that allows any agent to address other agents through a shared channel, i.e., the Bus, which consists of agent registration, message routing, and shared memory management components.

Yan-Wen Peng, Delvin Ce Zhang, Xi Wang et al. · 0 citations
#natural language process... Preprint Sep 2026

TRILOGUE: A Trilingual Spoken Dialogue Fact-Checking Benchmark with Evidence and Paired Audio

TRILOGUE (TRIlingual spoken diaLOGUE fact-checking) is introduced, a large-scale trilingual benchmark of source-grounded spoken dialogues in English, Russian, and Kazakh that supports claim check-worthiness detection, source-article evidence retrieval, and claim verification with claim-only, gold-evidence, and retrieve...

Chaewan Chun, Meruyert Aristombayeva, Jiyoung Choi et al. · 0 citations
Jul 2026

HyperClaim: Fine-Grained Cross-Modal Hypergraph Reasoning for Video Misinformation Detection

This work proposes HyperClaim, a discriminative temporal hypergraph framework for sample-level authenticity classification, which preserves fine-grained cross-modal and temporal structure that global fusion tends to flatten.

Xiang-Bo Wang, Jiasheng Zhang, Xing-Tong Yu et al. · 0 citations
Preprint Aug 2026

StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems

This work proposes StateBridge, a training-free latent communication approach that aligns the sender's final-layer hidden states to the receiver's input space via a closed-form orthogonal transformation and prepended to the input of the receiver agent as a continuous prefix.

Yan-Wen Peng, Delvin Ce Zhang, Xi Wang et al. · 6 citations

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