Papers by Wentong Chen

2 papers
ICLEval: Evaluating In-Context Learning Ability of Large Language Models (2025.coling-main)

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Challenge: Existing evaluation frameworks focus on language abilities and knowledge, often overlooking the assessment of ICL ability.
Approach: They propose to evaluate the ICL ability of Large Language Models (LLMs) using the ICLEval benchmark.
Outcome: The proposed benchmark demonstrates that ICL ability is universally present in different LLMs and model size is not the sole determinant of ICL efficacy.
GUICourse: From General Vision Language Model to Versatile GUI Agent (2025.acl-long)

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Challenge: Graphical User Interfaces (GUIs) are a pivotal medium for human-computer interaction.
Approach: They propose a series of datasets for training visual-based GUI agents using general VLMs.
Outcome: The proposed GUICourse datasets show that even a small-sized GUI agent performs better on GUI tasks.

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