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20242026
most citedRetrieval-Augmented Generation with Graphs (GraphRAG)

27 citations · 28 across the 13 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.GR2026

ScribbleEdit: A Benchmark for Scribble-Only Image Editing

Jie Ren, Hao Kang, Kai Guo +9

Scribble-based interaction provides a lightweight and intuitive way for users to specify image editing intents in interactive editing tools. However, current image editing models b…

cs.AI2026

MemTrace: Probing What Final Accuracy Misses in Long-Term Memory

Xianxuan Long, Zhikai Chen, Shenglai Zeng +3

LLM agents increasingly maintain long-term memory of user facts across sessions. Yet such memory is usually evaluated by aggregating accuracy over question rows or episodes. Becaus…

cs.CV2026

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension

Shenglai Zeng, Qirui Wang, Kai Guo +3

Visual Text Comprehension (VTC) renders text into images for a vision-language model (VLM) to read, sidestepping LLM context-window limits and powering applications from long-page…

cs.LG2026

OpenRFM: Dissecting Relational In-Context Learning

Zhikai Chen, Junyu Yin, Jialiang Gu +5

Relational Foundation Models (RFMs) promise a single pre-trained predictor that, given any relational database, returns predictions in one forward pass via relational in-context le…

cs.AI2026

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline

Zhikai Chen, Jialiang Gu, Junyu Yin +6

LLM agents accumulate histories that outgrow their context windows, motivating a growing literature on memory systems. Yet most existing designs are tuned to a single scenario (mul…

cs.AI2026

When Do Hallucinations Arise? A Graph Perspective on the Evolution of Path Reuse and Path Compression

Xinnan Dai, Kai Yang, Cheng Luo +3

Reasoning hallucinations in large language models (LLMs) often appear as fluent yet unsupported conclusions that violate either the given context or underlying factual knowledge. A…