activity
20242026
most citedChain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion

10 citations · 12 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

CQ4OE: A benchmark for assessing LLM-assisted ontology generation from competency questions

Jiayi Li, Ziyuan Wang, Daniel Garijo +1

Ontology generation from Competency Questions (CQs) is a central yet labor-intensive phase of Ontology Engineering. While large language models (LLMs) offer promising automation ca…

cs.LG2026

Safe responses matter: Output-aware safety guardrail mitigate over-refusal in MLLMs

Jiayi Li, Kun Zhan

Existing safety mechanisms for multimodal large language models (MLLMs) face a fundamental trade-off between safety and utility. Model fine-tuning achieves robust safety but compro…

cs.CL2026★ 1 cited

MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling

MiniCPM Team, Wenhao An, Yingfa Chen +44

The evolution of large language models (LLMs) towards applications with ultra-long contexts faces challenges posed by the high computational and memory costs of the Transformer arc…

cs.CL2025

Towards AI Search Paradigm

Yuchen Li, Hengyi Cai, Rui Kong +20

In this paper, we introduce the AI Search Paradigm, a comprehensive blueprint for next-generation search systems capable of emulating human information processing and decision-maki…

cs.CL2025

Shadow-FT: Tuning Instruct Model via Training on Paired Base Model

Taiqiang Wu, Runming Yang, Jiayi Li +4

Large language models (LLMs) consistently benefit from further fine-tuning on various tasks. However, we observe that directly tuning the Instruct (i.e., instruction-tuned) models…

cs.AI2024★ 1 cited

Progressive Knowledge Graph Completion

Jiayi Li, Ruilin Luo, Jiaqi Sun +2

Knowledge Graph Completion (KGC) has emerged as a promising solution to address the issue of incompleteness within Knowledge Graphs (KGs). Traditional KGC research primarily center…

cs.AI2024★ 10 cited

Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion

Ruilin Luo, Tianle Gu, Haoling Li +4

Temporal Knowledge Graph Completion (TKGC) is a complex task involving the prediction of missing event links at future timestamps by leveraging established temporal structural know…