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Li YanTao

3 accepted papers

2026

MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference

ICLR 2026poster

We present MeanCache, a training-free caching framework for efficient Flow Matching inference. Existing caching methods reduce redundant computation but typically rely on instantaneous velocity information (e.g., feature caching), which often leads to severe trajectory deviations and error accumulat…

Cited by 0SourceScholar
2025

Vision-Language Models Can Self-Improve Reasoning via Reflection

NAACL 2025long

Chain-of-thought (CoT) has proven to improve the reasoning capability of large language models (LLMs). However, due to the complexity of multimodal scenarios and the difficulty in collecting high-quality CoT data, CoT reasoning in multimodal LLMs has been largely overlooked. To this end, we propose…

2024

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents

ACL 2024long

Graphical User Interface (GUI) agents are designed to automate complex tasks on digital devices, such as smartphones and desktops. Most existing GUI agents interact with the environment through extracted structured data, which can be notably lengthy (e.g., HTML) and occasionally inaccessible (e.g.,…