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Showing papers from Ulsan National Institute of Science and Technology Show all papers

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Towards Better Generalization in Lifelong Person Re-Identification with Flatness-Aware Learning

Seungbin Hong, Sung Whan Yoon, Jae-Young Sim

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

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lenient 2/5
medium 0/10
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45%Niche pick
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Focusing Influence Mechanism for Multi-Agent Reinforcement Learning

Yisak Park, Sunwoo Lee, Seungyul Han

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

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45%Niche pick
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Escaping Path Mirages in Offline Goal-Conditioned Reinforcement Learning

Seungyul Han, Junhyeon Bae, Jaebak Hwang, Gwanwoo Choi and 1 more

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

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88%Must read

AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems

AgentGrad improves multi-agent prompt optimization via sequential intervention and semantic gradient clustering, achieving state-of-the-art performance with 2.5x faster optimization and 21.8% lower cost.

Jaewon Chu, jinwoo seo, Jaewon Cho, Jeehye Na and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 107 on Hugging Face

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5
89%Must read
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Agentic Neural Architecture Search

AgentNAS uses LLMs to generate seed architectures decomposed into slotted scaffolds that define bounded search spaces for NAS, achieving state-of-the-art results on 11 of 17 diverse tasks.

Seokhoon Jeong, Mijung Kim, Taehwan Kim

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 10/10
strict 2/5