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Shaonan Wang

ACL 2026×2推理评测与基准数据与预训练多模态可解释性
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #2/3ACL 2026Poster· Natural Language Processing

Gated Tree Cross-Attention for Checkpoint-Compatible Syntax Injection in Decoder-Only LLM s

Xinyu Gao · Shaonan Wang · Nai Ding

摘要

Decoder-only large language models achieve strong broad performance but are brittle to minor grammatical perturbations, undermining reliability for downstream reasoning. However, directly injecting explicit syntactic structure into an existing checkpoint can interfere with its pretrained competen...

推理评测与基准数据与预训练OpenReview 项目页
作者位次 #6/6ACL 2026Findings· Findings of ACL

Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing

Chunyu Ye · Yunhao Zhang · Jingyuan Sun · Chong Li · Yang Zhao · Shaonan Wang

摘要

Decoding language from the human brain remains a grand challenge for Brain-Computer Interfaces (BCIs). Current approaches typically rely on unimodal brain representations, neglecting the brain’s inherently multimodal processing. Inspired by the brain’s associative mechanisms, where viewing an ima...

多模态可解释性多语言与语言学OpenReview 项目页

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