Papers

Filtered to knowledge graphs · clear filter

Browse by term

continual learning 33reinforcement learning 21large language models 9vision-language models 8language models 6benchmarking 5autoregressive models 4diffusion transformers 4generative models 4multimodal learning 4robotics 4video generation 4benchmarks 3computer vision 3policy optimization 3self-distillation 3vision-language-action models 3world modeling 3agent-based systems 2autonomous agents 2calibration 2coding agents 2diffusion models 2foundation models 2image synthesis 2in-context learning 2knowledge graphs 2LLMs 2multimodal evaluation 2multimodal large language models 2

Matching papers

RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM

128 upvotes · 13 JUL 2026 · Mikhail Komarov, Ivan Bondarenko, Stanislav Shtuka et al.

This paper introduces RAGU, an open-source GraphRAG engine that improves large language models with structured knowledge by separating extraction and consolidation, and trains a compact extractor that outperforms larger models on knowledge-graph construction and GraphRAG tasks. Practitioners might care because RAGU can efficiently generate more accurate and complete context for tasks like factoid-level evidence recall and multi-hop question answering.

graph retrievalcontinual learninglarge language modelsknowledge graphsentity extractioncommunity detection

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs

39 upvotes · 23 JUL 2026 · Hao Liang, Qihan Lin, Zhaoyang Han et al.

This paper introduces a new framework for training educational language models, specifically designed to evaluate their ability to understand curriculum knowledge and its visual presentation. Practitioners might care about this work because it aims to improve language models' performance in educational settings.

educational language modelscurriculum cognitionknowledge graphsgraph-guided supervised learningmultimodal learningbenchmarking