Papers by Yile Wu

2 papers
YATO: Yet Another deep learning based Text analysis Open toolkit (2023.emnlp-demo)

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Challenge: YATO is an open-source toolkit for text analysis with deep learning . it supports free combinations of three types of widely used features .
Approach: They introduce YATO, an open-source toolkit for text analysis with deep learning.
Outcome: YATO is an open-source toolkit for text analysis with deep learning . the toolkit supports free combinations of three types of widely used features .
Glance-or-Gaze: Incentivizing LMMs to Adaptively Focus Search via Reinforcement Learning (2026.findings-acl)

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Challenge: Existing search-augmented approaches rely on indiscriminate whole-image retrieval and lack deep iterative reflection, limiting their effectiveness on complex visual queries.
Approach: They propose a fully autonomous framework that shifts from passive perception to active visual planning and introduces a Selective Gaze mechanism that dynamically chooses whether to glance at global context or gaze into high-value regions.
Outcome: Experiments across six benchmarks demonstrate state-of-the-art performance.

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