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Showing papers from UNSW, Sydney Show all papers

91%Must read
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SciHazard: A Benchmark for Measuring Scientific Safety Risks with Decomposed Harm Scoring

SciHazard benchmarks LLM scientific safety risks via decomposed harm scoring across 3,000 real-world grounded queries, finding deep research agents 32.3% more harmful than standard models.

Chunxiao Li, Yuan Xiong, Lijun Li, Tianyi Du and 3 more

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

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 4/5
76%Highly rated
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StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction

StraTA introduces trajectory-level strategies into agentic reinforcement learning via hierarchical rollout training, improving long-horizon decision-making and reaching 93.1% on ALFWorld.

Xiangyuan Xue, Yifan Zhou, ZiDong Wang, Shengji Tang and 4 more

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

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5