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Showing papers from Tianjin Normal University Show all papers

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NeurIPS 2026Hangzhou DianziNanyang TechnologicalInstitute of automation, ChineseTianjin NormalAlignment & preference optimization

META-PAP: Meta-learning for Prompt-aware Preference Pairing in LLM Alignment

Pinlong Zhao, Shiyu Hu, Jing Zhang, Mengyang Li

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

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NeurIPS 2026U FloridaTianjin NormalMulti-agent RL

Know Your Task, Learn It Right: Task-Aware Optimistic Value Learning for Multi-Task Multi-Agent Reinforcement Learning

Chang Liu, Mengyang Li

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Tianjin NormalU Chinese Academy of SciencesAutoML & architecture search

Treating Hyperparameters as Interventions: Task-Invariant Representation Learning for Transferable HPO

Mengyang Li, Ou Wu

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

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NeurIPS 2026Tianjin NormalHangzhou DianziMachine unlearning

CLUE: Closing the Loop on Conflict and Collapse in LLM Unlearning

Mengyang Li, Jingwen Wang, Yu Zhang, Pinlong Zhao

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

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NeurIPS 2026Tianjin NormalMachine unlearning

KNOT: A Knowledge Entanglement Benchmark for Robust Unlearning Evaluation

Mengyang Li, Jingwen Wang, Yu Zhang, Shuang Liu 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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AI panel: 0 of 20 reviewers recommend it
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