activity
20242026
collaborators

7 papers

cs.MA2026

EARS: Explanatory Abstention for Reliable Sub-Agent Modeling in Large-scale Multi-Agent Systems

Shuang Xie, Yunan Lu, Han Li +1

In large-scale enterprise settings, centralized multi-agent systems (MAS) are increasingly adopted, in which a coordinator delegates user requests to lightweight, domain-specialize…

cs.AI2026

SimGym: A Framework for A/B Test Simulation in E-Commerce with Traffic-Grounded VLM Agents

Han Li, Vibhor Malik, Zahra Zanjani Foumani +17

A/B testing remains the gold standard for evaluating modifications to e-commerce storefronts, yet it diverts traffic, requires weeks to reach statistical significance, and risks de…

cs.AI2026

ShopGym: An Integrated Framework for Realistic Simulation and Scalable Benchmarking of E-Commerce Web Agents

Chinmay Savadikar, Mingyu Zhao, Yuanzheng Zhu +5

Developing and evaluating e-commerce web agents requires environments that preserve meaningful task structure while enabling controllable, reproducible, and scalable scientific com…

cs.AI2026

SimPersona: Learning Discrete Buyer Personas from Raw Clickstreams for Grounded E-Commerce Agents

Zahra Zanjani Foumani, Alberto Castelo, Shuang Xie +3

LLM-based web agents can navigate live storefronts, yet they often collapse to a single "average buyer" policy, failing to capture the heterogeneous and distributional nature of re…

cs.CL2025

Resource-Friendly Dynamic Enhancement Chain for Multi-Hop Question Answering

Binquan Ji, Haibo Luo, Yifei Lu +6

Knowledge-intensive multi-hop question answering (QA) tasks, which require integrating evidence from multiple sources to address complex queries, often necessitate multiple rounds…

cs.CV2025

M-LLM Based Video Frame Selection for Efficient Video Understanding

Kai Hu, Feng Gao, Xiaohan Nie +8

Recent advances in Multi-Modal Large Language Models (M-LLMs) show promising results in video reasoning. Popular Multi-Modal Large Language Model (M-LLM) frameworks usually apply n…