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  • CIRCULAR TIMBER: TIMBER ON THE WAY TO A SUSTAINABLE CIRCULAR ECONOMY

    World Conference on Timber Engineering 2025

    CIRCULAR TIMBER: TIMBER ON THE WAY TO A SUSTAINABLE CIRCULAR ECONOMY

    Alireza Fadai, Marius Valente p917-924 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • CIRCULAR WOOD CONSTRUCTION - EXPECTATIONS, EXPERIENCES AND ACCEPTANCE AMONG USERS, ARCHITECTS AND INDUSTRY REPRESENTATIVES

    World Conference on Timber Engineering 2023 (WCTE 2023)

    CIRCULAR WOOD CONSTRUCTION - EXPECTATIONS, EXPERIENCES AND ACCEPTANCE AMONG USERS, ARCHITECTS AND INDUSTRY REPRESENTATIVES

    Kaja Heltorp, Ute Groba, Anders Q. Nyrud p1067-1074 from World Conference on Timber Engineering (WCTE 2023)
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  • CiteME: Can Language Models Accurately Cite Scientific Claims?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CiteME: Can Language Models Accurately Cite Scientific Claims?

    Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal Udandarao, Ofir Press, Matthias Bethge p7847-7877 from Advances in Neural Information Processing Systems 37
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  • Cities as Local Governments Fostering the Circular Economy in the Construction Sector – Unravelling the Key Actions and Operational Roles of Cities Through a Multiple-Case Study

    LTH Profile Area: Circular Building Sector

    Cities as Local Governments Fostering the Circular Economy in the Construction Sector – Unravelling the Key Actions and Operational Roles of Cities Through a Multiple-Case Study

    Lauri Alkki, Johanna Alakerttula, Leena Aarikka-Stenroos p108-121 from Circular Building Sector Conference (CBSC 2025)
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  • CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data

    Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue p77758-77770 from Advances in Neural Information Processing Systems 36
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  • CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation

    Xiuzhe Wu, Peng Dai, Weipeng Deng, Handi Chen, Yang Wu, Yan-Pei Cao, Ying Shan, Xiaojuan Qi p34426-34438 from Advances in Neural Information Processing Systems 36
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  • CLadder: Assessing Causal Reasoning in Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CLadder: Assessing Causal Reasoning in Language Models

    Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf p31038-31065 from Advances in Neural Information Processing Systems 36
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  • CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models

    Saurav Jha, Dong Gong, Lina Yao p129146-129186 from Advances in Neural Information Processing Systems 37
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  • CLARIFYING TERMINOLOGY FOR ASSESSING CIRCULARITY IN TIMBER CONSTRUCTION

    World Conference on Timber Engineering 2025

    CLARIFYING TERMINOLOGY FOR ASSESSING CIRCULARITY IN TIMBER CONSTRUCTION

    Marieke Stritzke, Sandra Schuster p594-601 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence

    Kevin Wu, Eric Wu, James Zou p33402-33422 from Advances in Neural Information Processing Systems 37
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  • Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations

    Yuli Slavutsky, Yuval Benjamini p89213-89248 from Advances in Neural Information Processing Systems 37
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  • Class-Aware Adversarial Transformers for Medical Image Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Class-Aware Adversarial Transformers for Medical Image Segmentation

    Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence Staib, James Duncan p29582-29596 from Advances in Neural Information Processing Systems 35
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