Papers by Xingyu Lou

2 papers
Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning (2026.findings-acl)

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Challenge: Large Language Model (LLM)-based agents extend the utility of LLMs by interacting with dynamic environments.
Approach: They propose a parameter fusion framework based on directional consensus evaluation that disentangles knowledge updates through a two-stage process.
Outcome: The proposed framework disentangles knowledge updates through a two-stage process with minimal computational overhead and parameter updates.
ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution (2026.acl-industry)

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Challenge: Xue et al., 2025): deploying autonomous web agents in production remains difficult due to site heterogeneity and long-horizon instability.
Approach: They propose a knowledge-evolving agent that can be used to automate web workflows . they use human-in-the-loop knowledge adaptation and knowledge-aligned progressive summarization .
Outcome: Experiments on WebArena, WebChoreAren and industrial deployment show it outperforms baselines.

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