activity
20242026
collaborators

11 papers

cs.AI2026

GuardianAgent: Policy-Conditioned Risk-Adaptive Anonymization with Verified Adversarial Escalation

Ruiyi Yang, Gayathri Lihinikaduarachchi, Rahat Masood +2

Privacy protection for live web traffic requires more than detecting private spans. Agent-based privacy protection systems must determine whether an outgoing action complies with t…

cs.AI2026

STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning

Ruiyi Yang, Lihuan Li, Hao Xue +1

Compositional spatiotemporal reasoning often requires a system to invoke multiple heterogeneous specialists, such as geometric, temporal, topological, and trajectory agents. A cent…

cs.CL2026

GeoBuildBench: A Benchmark for Interactive and Executable Geometry Construction from Natural Language

Jinwoong Kim, Rui Yang, Huishuai Zhang

We introduce GeoBuildBench, a benchmark designed to evaluate whether large language models and multimodal agents can ground informal natural-language plane geometry problems into e…

cs.CV2026

AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward

Runhui Huang, Jie Wu, Rui Yang +2

In this paper, we propose AlphaGRPO, a novel framework that applies Group Relative Policy Optimization (GRPO) to AR-Diffusion Unified Multimodal Models (UMMs) to enhance multimodal…

cs.AI2026

TrajPrism: A Multi-Task Benchmark for Language-Grounded Urban Trajectory Understanding

Lihuan Li, Wilson Wongso, Baiyu Chen +6

Urban mobility is naturally expressed both as trajectories in space and as natural-language descriptions of travel intent, constraints, and preferences. However, prior work rarely…

cs.AI2026

MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs

Ruiyi Yang, Zechen Li, Hao Xue +2

Self-evolving language-model agents must decide what to learn next and how to preserve what they have learned across iterations. Existing systems typically carry this cross-iterati…

cs.AI2026

Orchard: An Open-Source Agentic Modeling Framework

Baolin Peng, Wenlin Yao, Qianhui Wu +11

Agentic modeling aims to transform LLMs into autonomous agents capable of solving complex tasks through planning, reasoning, tool use, and multi-turn interaction with external envi…

cs.CL2025

DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle

Fangyu Lei, Jinxiang Meng, Yiming Huang +14

Real-world enterprise data intelligence workflows encompass data engineering that turns raw sources into analytical-ready tables and data analysis that convert those tables into de…

cs.CL2025

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA

Ruiyi Yang, Hao Xue, Imran Razzak +2

Retrieval-augmented generation (RAG) remains brittle on multi-step questions and heterogeneous evidence sources, trading accuracy against latency and token/tool budgets. This paper…

cs.AI2025

Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning

Ruiyi Yang, Hao Xue, Imran Razzak +3

Retrieval-Augmented Generation (RAG) systems empower large language models (LLMs) with external knowledge, yet struggle with efficiency-accuracy trade-offs when scaling to large kn…

cs.AI2024

SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding

Ruiyi Yang, Flora D. Salim, Hao Xue

Knowledge graphs (KGs) have been increasingly employed for link prediction and recommendation using real-world datasets. However, the majority of current methods rely on static dat…