activity
20242026
most citedAPEX: Adaptive and Extreme Summarization for Personalized Knowledge Graphs

4 citations · 13 across the 19 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.AI2026

Inference-Time Graph Engineering for Multi-Agent LLM Workflows

Katherine Tieu, Dongqi Fu, Yinglong Xia +3

Recent multi-agent LLM systems increasingly rely on graph-structured communication to coordinate specialized agents. We revisit multi-agent orchestration from a graph-engineering p…

cs.CL2026

Does Accuracy Equal Evidence? Reasoning Faithfulness under KV Cache Compression

Mengting Ai, Jingrui He, Yue Guo

KV cache compression is commonly evaluated by final-answer accuracy, implicitly assuming that preserving the answer also preserves the reasoning that supports it. We test this assu…

cs.AI2026

Harnessing Generalist Agents for Contextualized Time Series

Zihao Li, Kaifeng Jin, Yuanchen Bei +8

Time series are often embedded in rich contexts that are essential for holistic modeling. Moreover, real-world practitioners often require end-to-end workflows for analyzing tempor…

cs.AI2026

Heterogeneous Scientific Foundation Model Collaboration

Zihao Li, Jiaru Zou, Feihao Fang +6

Agentic large language model systems have demonstrated strong capabilities. However, their reliance on language as the universal interface fundamentally limits their applicability…

cs.AI2026

MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains

Xuying Ning, Dongqi Fu, Tianxin Wei +7

With the increasing demand for step-wise, cross-modal, and knowledge-grounded reasoning, multimodal large language models (MLLMs) are evolving beyond the traditional fixed retrieve…

cs.AI2026

TSAQA: Time Series Analysis Question And Answering Benchmark

Baoyu Jing, Sanhorn Chen, Lecheng Zheng +13

Time series data are integral to critical applications across domains such as finance, healthcare, transportation, and environmental science. While recent work has begun to explore…

cs.LG2026

OWLEYE: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection

Lecheng Zheng, Dongqi Fu, Zihao Li +1

Graph data is informative to represent complex relationships such as transactions between accounts, communications between devices, and dependencies among machines or processes. Co…