collaborators

9 papers

cs.AI2026

LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention

Dongjie Xu, Hao Wu, Weijie Shi +7

Through systematic experiments on long-context generation, we observe a damaging failure mode in which decoding can collapse into persistent repetition loops. We find that this deg…

cs.CV2026

Head-wise Modality Specialization within MLLMs for Robust Fake News Detection under Missing Modality

Kai Qian, Weijie Shi, Jiaqi Wang +7

Multimodal fake news detection (MFND) aims to verify news credibility by jointly exploiting textual and visual evidence. However, real-world news dissemination frequently suffers f…

cs.CL2026

ACR: Adaptive Context Refactoring via Context Refactoring Operators for Multi-Turn Dialogue

Jiawei Shen, Jia Zhu, Hanghui Guo +9

Large Language Models (LLMs) have shown remarkable performance in multi-turn dialogue. However, in multi-turn dialogue, models still struggle to stay aligned with what has been est…

cs.CL2025

EduEval: A Hierarchical Cognitive Benchmark for Evaluating Large Language Models in Chinese Education

Guoqing Ma, Jia Zhu, Hanghui Guo +5

Large language models (LLMs) demonstrate significant potential for educational applications. However, their unscrutinized deployment poses risks to educational standards, underscor…

cs.CL2025

Semantic-guided Diverse Decoding for Large Language Model

Weijie Shi, Yue Cui, Yaguang Wu +7

Diverse decoding of large language models is crucial for applications requiring multiple semantically distinct responses, yet existing methods primarily achieve lexical rather than…

cs.CV2025

Consistent and Invariant Generalization Learning for Short-video Misinformation Detection

Hanghui Guo, Weijie Shi, Mengze Li +8

Short-video misinformation detection has attracted wide attention in the multi-modal domain, aiming to accurately identify the misinformation in the video format accompanied by the…