Kai Guo

Kai Guo has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, English; often with Shenglai Zeng, Hanqing Lu, Hui Liu.

3 papers in our library · 2025–2026

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Empowering GraphRAG with Knowledge Filtering and Integration (2025 · 12 citations)
Graph retrieval-augmented generation (GraphRAG) supplements LLMs with facts from knowledge graphs, but the authors show it has two weaknesses.
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach (2025 · 5 citations)
LLMs that receive retrieved passages, as in RAG, tend to trust that text too much. Misleading or off-topic passages can override knowledge the model already has. The authors define a "context-robust" LLM by four behaviours:
AI Slop or AI-enhancement? Student perceptions of AI-generated media for an English for Academic Purposes course (2026)
The paper asks whether multimedia that a teacher produces with retrieval-augmented generation (RAG) tools actually helps learners, or whether it only fills the course site with low-value "AI slop".

8 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated 30 October 2026