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\n  \n 2026\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n MATA: A Trainable Hierarchical Automaton System for Multi-Agent Visual Reasoning.\n \n \n \n\n\n \n Cai, Z.; Ke, F.; Leo, K.; Huang, S.; de la Banda, M., G.; Stuckey, P., J.; and Rezatofighi, H.\n\n\n \n\n\n\n arXiv preprint arXiv:2601.19204. 2026.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {MATA: A Trainable Hierarchical Automaton System for Multi-Agent Visual Reasoning},\n type = {article},\n year = {2026},\n id = {eef4311b-07b5-3f2b-8fde-0b29399cf21a},\n created = {2026-02-09T01:09:58.363Z},\n file_attached = {false},\n profile_id = {8267f960-300e-3a61-a1e3-f7fb78da5369},\n last_modified = {2026-02-09T01:11:07.868Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Cai, Zhixi and Ke, Fucai and Leo, Kevin and Huang, Sukai and de la Banda, Maria Garcia and Stuckey, Peter J and Rezatofighi, Hamid},\n journal = {arXiv preprint arXiv:2601.19204}\n}
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\n  \n 2025\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n Integrating Natural Language in Sequential Decision Problems.\n \n \n \n\n\n \n Huang, S.\n\n\n \n\n\n\n Ph.D. Thesis, 2025.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@phdthesis{\n title = {Integrating Natural Language in Sequential Decision Problems},\n type = {phdthesis},\n year = {2025},\n institution = {UNIVERSITY OF MELBOURNE},\n id = {71599c0a-45ab-322a-a37f-62a81d6455da},\n created = {2026-02-09T01:09:58.359Z},\n file_attached = {false},\n profile_id = {8267f960-300e-3a61-a1e3-f7fb78da5369},\n last_modified = {2026-02-09T01:11:09.477Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n source_type = {phdthesis},\n private_publication = {false},\n bibtype = {phdthesis},\n author = {Huang, Sukai}\n}
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\n \n\n \n \n \n \n \n Chasing progress, not perfection: Revisiting strategies for end-to-end llm plan generation.\n \n \n \n\n\n \n Huang, S.; Cohn, T.; and Lipovetzky, N.\n\n\n \n\n\n\n In Proceedings of the International Conference on Automated Planning and Scheduling, volume 35, pages 204-212, 2025. \n \n\n\n\n
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@inproceedings{\n title = {Chasing progress, not perfection: Revisiting strategies for end-to-end llm plan generation},\n type = {inproceedings},\n year = {2025},\n pages = {204-212},\n volume = {35},\n issue = {1},\n id = {e6d7ea8a-22a3-3975-af11-940621ca0e3b},\n created = {2026-02-09T01:09:58.414Z},\n file_attached = {false},\n profile_id = {8267f960-300e-3a61-a1e3-f7fb78da5369},\n last_modified = {2026-02-09T01:11:06.696Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Huang, Sukai and Cohn, Trevor and Lipovetzky, Nir},\n booktitle = {Proceedings of the International Conference on Automated Planning and Scheduling}\n}
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\n \n\n \n \n \n \n \n \n The Dark Side of Rich Rewards: Understanding and Mitigating Noise in VLM Rewards.\n \n \n \n \n\n\n \n Huang, S.; Liu, S.; Lipovetzky, N.; and Cohn, T.\n\n\n \n\n\n\n In Proceedings of the ICAPS 2025 Workshop on Planning and Reinforcement Learning (PRL), 2025. OpenReview\n \n\n\n\n
\n\n\n\n \n \n \"TheWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {The Dark Side of Rich Rewards: Understanding and Mitigating Noise in VLM Rewards},\n type = {inproceedings},\n year = {2025},\n websites = {https://openreview.net/forum?id=xtBmfZJiAG},\n publisher = {OpenReview},\n id = {594a2d91-2148-3a12-b502-a06ad3d21715},\n created = {2026-02-09T01:09:58.420Z},\n file_attached = {false},\n profile_id = {8267f960-300e-3a61-a1e3-f7fb78da5369},\n last_modified = {2026-02-09T01:11:05.614Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n source_type = {inproceedings},\n notes = {ICAPS 2025 Workshop on Planning and Reinforcement Learning (PRL)},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Huang, Sukai and Liu, Shu-Wei and Lipovetzky, Nir and Cohn, Trevor},\n booktitle = {Proceedings of the ICAPS 2025 Workshop on Planning and Reinforcement Learning (PRL)}\n}
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\n \n\n \n \n \n \n \n Explain before you answer: A survey on compositional visual reasoning.\n \n \n \n\n\n \n Ke, F.; Hsu, J.; Cai, Z.; Ma, Z.; Zheng, X.; Wu, X.; Huang, S.; Wang, W.; Haghighi, P., D.; Haffari, G.; and others\n\n\n \n\n\n\n arXiv preprint arXiv:2508.17298. 2025.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Explain before you answer: A survey on compositional visual reasoning},\n type = {article},\n year = {2025},\n id = {6f281018-30ed-3317-9d05-3ba64fe13edd},\n created = {2026-02-09T01:09:58.533Z},\n file_attached = {false},\n profile_id = {8267f960-300e-3a61-a1e3-f7fb78da5369},\n last_modified = {2026-02-09T01:11:04.558Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Ke, Fucai and Hsu, Joy and Cai, Zhixi and Ma, Zixian and Zheng, Xin and Wu, Xindi and Huang, Sukai and Wang, Weiqing and Haghighi, Pari Delir and Haffari, Gholamreza and others, undefined},\n journal = {arXiv preprint arXiv:2508.17298}\n}
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\n \n\n \n \n \n \n \n ALIGN: Word Association Learning for Cultural Alignment in Large Language Models.\n \n \n \n\n\n \n Liu, C.; Shrestha, K., M.; and Huang, S.\n\n\n \n\n\n\n arXiv preprint arXiv:2508.13426. 2025.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {ALIGN: Word Association Learning for Cultural Alignment in Large Language Models},\n type = {article},\n year = {2025},\n id = {edb8e66e-32e8-3b75-808e-e6b8f4c380b2},\n created = {2026-02-09T01:09:58.539Z},\n file_attached = {false},\n profile_id = {8267f960-300e-3a61-a1e3-f7fb78da5369},\n last_modified = {2026-02-09T01:11:03.639Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Liu, Chunhua and Shrestha, Kabir Manandhar and Huang, Sukai},\n journal = {arXiv preprint arXiv:2508.13426}\n}
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\n \n\n \n \n \n \n \n Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts.\n \n \n \n\n\n \n Huang, S.; Lipovetzky, N.; and Cohn, T.\n\n\n \n\n\n\n In Proceedings of the AAAI Conference on Artificial Intelligence, volume 39, pages 26542-26550, 2025. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts},\n type = {inproceedings},\n year = {2025},\n pages = {26542-26550},\n volume = {39},\n issue = {25},\n id = {052c55ef-7db0-3860-8ce9-79856f6646ef},\n created = {2026-02-09T01:09:58.576Z},\n file_attached = {false},\n profile_id = {8267f960-300e-3a61-a1e3-f7fb78da5369},\n last_modified = {2026-02-09T01:11:02.645Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Huang, Sukai and Lipovetzky, Nir and Cohn, Trevor},\n booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}\n}
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\n  \n 2023\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n A reminder of its brittleness: Language reward shaping may hinder learning for instruction following agents.\n \n \n \n\n\n \n Huang, S.; Lipovetzky, N.; and Cohn, T.\n\n\n \n\n\n\n arXiv preprint arXiv:2305.16621. 2023.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {A reminder of its brittleness: Language reward shaping may hinder learning for instruction following agents},\n type = {article},\n year = {2023},\n id = {a1caa351-3085-3163-950e-59cfb4daf049},\n created = {2026-02-09T01:09:58.580Z},\n file_attached = {false},\n profile_id = {8267f960-300e-3a61-a1e3-f7fb78da5369},\n last_modified = {2026-02-09T01:10:34.360Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Huang, Sukai and Lipovetzky, Nir and Cohn, Trevor},\n journal = {arXiv preprint arXiv:2305.16621}\n}
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\n \n\n \n \n \n \n \n PDDL-GenAI–A Plugin for LLM-Based Support in Planning Domain Modeling.\n \n \n \n\n\n \n Wang, J.; Peng, R.; Chen, T.; Zeng, C.; Wang, W.; Huang, S.; and Lipovetzky, N.\n\n\n \n\n\n\n . .\n \n\n\n\n
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@article{\n title = {PDDL-GenAI–A Plugin for LLM-Based Support in Planning Domain Modeling},\n type = {article},\n id = {aeac39b5-ffda-38ff-b355-74946d3aa38b},\n created = {2026-02-09T01:09:58.635Z},\n file_attached = {false},\n profile_id = {8267f960-300e-3a61-a1e3-f7fb78da5369},\n last_modified = {2026-02-09T01:10:17.140Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Wang, Jinbiao and Peng, Rui and Chen, Tong and Zeng, Chaowen and Wang, Weilin and Huang, Sukai and Lipovetzky, Nir}\n}
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