Papers by Yinwei Wei

2 papers
Context-Agent: Dynamic Discourse Trees for Non-Linear Dialogue (2026.findings-acl)

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Challenge: Existing approaches to managing non-linear dialogue flow are misaligned with the intrinsically hierarchical and branching structure of natural discourse.
Approach: They propose a framework that models multi-turn dialogue history as a dynamic tree structure.
Outcome: The proposed framework enhances task completion rates and improves token efficiency across various LLMs.
Reasoning in the Dark: Interleaved Vision-Text Reasoning in Latent Space (2026.findings-acl)

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Challenge: Existing multimodal reasoning methods depend on explicit reasoning steps that require labor-intensive vision-text annotations and inherently introduce significant inference latency.
Approach: They propose a method that integrates visual and visual information into the reasoning process to improve the performance of multimodal LLMs.
Outcome: The proposed method achieves an average performance increase of 5.45% while achieving a speed increase of over 5 times compared to existing methods.

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