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Xingyue Huang

ACL 2026×2ICLR 2026×2检索与知识可解释性理论与学习动力学效率与系统长上下文与架构
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2 一作 · 4 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

4
一作ACL 2026Poster· Natural Language Processing

Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling

Xingyue Huang · Xueying Ding · Clark Mingxuan Ju · Yozen Liu · Neil Shah · Tong Zhao

摘要

Softmax attention struggles with long contexts due to structural limitations: the strict sum-to-one constraint forces attention sinks on irrelevant tokens, while probability mass disperses as sequence lengths increase. We tackle these problems with Threshold Differential Attention (TDA), a sink-f...

理论与学习动力学可解释性效率与系统OpenReview 项目页
作者位次 #2/8ACL 2026Poster· Natural Language Processing

Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings

Xueying Ding · Xingyue Huang · Clark Mingxuan Ju · Liam Collins · Yozen Liu · Leman Akoglu · Neil Shah · Tong Zhao

摘要

Large language models produce powerful text embeddings, but their causal attention mechanism restricts the flow of information from later to earlier tokens, degrading representation quality. While recent methods attempt to solve this by prepending a single summary token, they over-compress inform...

可解释性长上下文与架构安全OpenReview 项目页

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