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20202026
most citedContrastive Cross-Domain Sequential Recommendation

110 citations · 239 across the 31 of their papers we have counts for

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16 papers · 1 filter

cs.CL2026

Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion

Jiawei Sheng, Taoyu Su, Xixun Lin +2

Multi-domain knowledge graph completion (MKGC) aims to improve missing triple prediction in a target KG by transferring knowledge from other support KGs. Existing methods typically…

cs.CL2026

Improving Reasoning Capabilities in Small Models through Mixture-of-Layers Distillation with Stepwise Attention on Key Information

Yao Chen, Jiawei Sheng, Wenyuan Zhang +1

The significant computational demands of large language models have increased interest in distilling reasoning abilities into smaller models via Chain-of-Thought (CoT) distillation…

cs.CL2026

HyperMem: Hypergraph Memory for Long-Term Conversations

Juwei Yue, Chuanrui Hu, Jiawei Sheng +5

Long-term memory is essential for conversational agents to maintain coherence, track persistent tasks, and provide personalized interactions across extended dialogues. However, exi…

cs.CL2025

Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking

Yilong Chen, Junyuan Shang, Zhenyu Zhang +7

Large language models (LLMs) face inherent performance bottlenecks under parameter constraints, particularly in processing critical tokens that demand complex reasoning. Empirical…

cs.CL2024

Mixture of Hidden-Dimensions Transformer

Yilong Chen, Junyuan Shang, Zhengyu Zhang +6

Transformer models encounter challenges in scaling hidden dimensions efficiently, as uniformly increasing them inflates computational and memory costs while failing to emphasize th…

cs.CL2024★ 1 cited

Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing

Wenyuan Zhang, Shuaiyi Nie, Jiawei Sheng +4

Large language model (LLM) role-playing has gained widespread attention. Authentic character knowledge is crucial for constructing realistic LLM role-playing agents. However, exist…