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Yuansen Liu

ACL 2026×2对齐与偏好多模态数据与预训练安全推理
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一作贡献30
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合作网络9
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #2/6ACL 2026Poster· Natural Language Processing

TED - TTS : Training-Free Intra-Utterance Emotion and Duration Control for Text-to-Speech Synthesis

Qifan Liang · Yuansen Liu · Ruixin Wei · Nan Lu · JUNCHUAN ZHAO · Ye Wang

摘要

While controllable Text-to-Speech (TTS) has achieved notable progress, most existing methods remain limited to inter-utterance-level control, making fine-grained intra-utterance expression challenging due to their reliance on non-public datasets or complex multi-stage training. In this paper, we...

多模态数据与预训练对齐与偏好OpenReview 项目页
一作ACL 2026Poster· Natural Language Processing

Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language Models

Yuansen Liu · Yixuan Tang · Anthony Kum Hoe Tung

摘要

Current LLM safety research predominantly focuses on mitigating **Goal Hijacking**, preventing attackers from redirecting a model’s high-level objective (e.g., from "summarizing emails" to "phishing users"). In this paper, we argue that this perspective is incomplete and highlight a critical vuln...

安全推理对齐与偏好OpenReview 项目页

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