collaborators

7 papers

cs.AI2026

Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory

Minghao Guo, Qingyue Jiao, Xiujin Liu +77

Multimodal models and agents have emerged to enable AI systems to learn from and interact with the real world more like humans by integrating information across multiple modalities…

cs.SE2026

World Requirement Model: Learning Requirement-Change Consequences from Typed Artifact Graphs

Yuanpeng He, Lijian Li, Dongming Jin +7

Requirement changes can affect connected stakeholders, constraints, components, and tests. We present World Requirement Model (WRM), which encodes this engineering context as a typ…

cs.IR2026

RecToolBench: Benchmarking Recommendation-Specific Tool Orchestration under Fuzzy User Intent

Xiao Chen, Yicheng Zhao, Yingying Wu +4

Recent advances in agentic recommender systems are shifting recommender systems from passive filtering engines to instruction-following agents that use external tools to resolve us…

cs.SE2026

An Interactive Agent for Requirement-Driven Candidate Sourcing

Yuanpeng He, Fangjing Li, Xiangyu Ru +10

Finding people from a natural-language description (``ML engineers transitioning to research roles in biotech'') is increasingly delegated to LLM agents and framed as information r…

cs.IR2026

Adapting Embedding Models for Agent Capability Retrieval

Tingwei Chen, Yunxiao Shi, Zhengdong Chu +2

Open agent marketplaces list native agents, tool bundles, and reusable skill packages in the same search interface, yet practitioners still have little guidance on how to retrieve…

cs.CL2026

SkillBrew: Multi-Objective Curation of Skill Banks for LLM Agents

Wentao Hu, Zhendong Chu, Yiming Zhang +6

Retrieval-augmented LLM agents increasingly rely on curated skill banks: collections of reusable textual principles that guide decision making on complex tasks. Existing approaches…

cs.CL2025

FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English Writing

Jingheng Ye, Shen Wang, Jiaqi Chen +9

Large Language Models (LLMs) have transformed artificial intelligence, offering profound opportunities for educational applications. However, their ability to provide fine-grained…