Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate ExpertsAndrea PugnanaRiccardo Massiddaet al.2025NeurIPS 2025
Meta-D2AG: Causal Graph Learning with Interventional Dynamic DataTian GaoSongtao Luet al.2025NeurIPS 2025
Causally Reliable Concept Bottleneck ModelsGiovanni De FeliceArianna Casanova Floreset al.2025NeurIPS 2025
I-RAVEN-X: Benchmarking Generalization and Robustness of Analogical and Mathematical Reasoning in Large Language and Reasoning ModelsGiacomo CamposampieroMichael Herscheet al.2025NeurIPS 2025
Specifying exact circuit algorithms in universal transformersTaku ItoRuchir Puriet al.2025NeurIPS 2025
Scaling LLM Planning: NL2FLOW for Parametric Problem Generation and Rigorous EvaluationJung koo Kang2025NeurIPS 2025
A Zero-Shot Neuro-Symbolic Approach for Complex Knowledge Graph Question AnsweringPrerna AgarwalSrikanta Bedathur2025EMNLP 2025
Hamiltonian Monte Carlo with Asymmetrical Momentum DistributionsSoumyadip GhoshYingdong Luet al.2025Physica D: Nonlinear Phenomena
Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?Giacomo CamposampieroMichael Herscheet al.2025NeSy 2025
Conceptual Diagnostics for Knowledge Graphs and Large Language ModelsRosario Uceda-SosaMaria Changet al.2025ACL 2025