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Showing papers from National Taiwan University Show all papers

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Test-Time Sequential Steering of Diffusion Models via Preconditioned Crank-Nicolson

Joel Keller, Taos Transue, Qin Li, Shih-Hsin Wang and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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45%Niche pick
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HIST3R: Rectified State Decomposition from History for Streaming 3D Reconstruction

Kenneth Yang, Frank Wang

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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DRAMA: Dissecting Attention Redundancy for Accelerating Multimodal Diffusion Large Language Models

Yi-Hsin Hung, Fangfu Liu, Shao-Yuan Lo, Chu-Song Chen

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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SSD: Shell-Guided Spherical Diffusion for Molecular Geometry Generation

Yun-Yen Chuang, Chen-Sheng Gu, Hung-Min Hsu, Kevin Lin and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Tracing Psychometric Inference in Large Language Models

Chih-Hao Hsu, Feng-Chun B Chou, Pin-Hao A Chen

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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Robust Concept Unlearning in Diffusion Models via Directional Stability Regularization

Bo-Han Lai, Hsuan-Tien (Tien) Lin, Chia-Mu Yu, Han Zhao and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Rethinking Training Targets, Architectures and Data Quality for Universal Speech Enhancement

Time-shifted anechoic targets, a two-stage distortion-perception framework, and curated data improve universal speech enhancement and achieve state-of-the-art results.

Szu-Wei Fu, Rong Chao, Xuesong Yang, Sung-Feng Huang and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5
88%Must read
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CLR-voyance : Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics

CLR-voyance frames inpatient reasoning as a POMDP with outcome-grounded rubrics, yielding an 8B model scoring 84.91% on CLR-POMDP and outperforming larger medical reasoning models.

Aishik Nagar, Arun-Kumar Kaliya-Perumal, Yu-Hsuan Han, Andrew Sheng-Han Huang and 4 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5
76%Highly rated
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Expanding the Role of Diffusion Models for Robust Classifier Training

Diffusion representations provide diverse, partially robust features that improve adversarial training robustness as an auxiliary signal, complementing synthetic data.

Pin-Han Huang, Shang-Tse Chen, Hsuan-Tien (Tien) Lin

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
78%Highly rated
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Decoupling Conversational Dynamics in Full-Duplex Spoken Models through Reinforcement Learning

DuplexPO decouples conversational dynamics from reasoning via RL, improving turn-taking and backchannels without sacrificing instruction-following ability.

Yuxin Li, Donghang Wu, Guan-Ting Lin, Hung-yi Lee and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
88%Must read
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Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning

Vanilla LoRA matches variant performance within 1-2% when learning rates are tuned, and differing optimal rates stem from Hessian eigenvalue variations.

Yu-Ang Lee, Ching-Yun Ko, Pin-Yu Chen, Mi-Yen Yeh

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face · Code ★ 13

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5
86%Must read
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Expected Harm: Rethinking Safety Evaluation of (Mis)Aligned LLMs

Expected Harm weights jailbreak severity by execution likelihood to reveal inverse risk calibration, where models over-refuse costly threats yet remain vulnerable to cheap, high-likelihood attacks that double jailbreak success.

Yen-Shan Chen, Zhi Rui Tam, Cheng-Kuang Wu, Yun-Nung (Vivian) Chen

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 21 on Hugging Face

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5