Papers by Renshuai Tao

2 papers
From Imitation to Discrimination: Progressive Curriculum Learning for Robust Web Navigation (2026.findings-acl)

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Challenge: Text-based web agents offer computational efficiency for autonomous web navigation, yet they lack discrimination capabilities to reject plausible but incorrect elements in densely populated pages.
Approach: They propose a model that uses a text-based web agent to learn to discriminate against incorrect elements in densely populated HTML and a training curriculum to synthesize diverse cross-domain tasks with strict verification.
Outcome: Empirical evaluation shows that the model performs better than open-source models with 58.7% step success rate.
V-GameGym: Visual Game Generation for Code Large Language Models (2026.findings-acl)

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Challenge: Existing code-related benchmarks focus on single modality rather than visual game development.
Approach: They propose a multimodal benchmark for evaluating code large language models in visual game generation that integrates a clustering-based curation methodology and a pipeline for visual code synthesis.
Outcome: The proposed framework assesses code generation and visual game generation using a sandbox environment.

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