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December 5 2025 NeurIPS Datasets & Benchmarks Track: From Art to Science in AI Evaluations Communications Chairs 2025 2025 Conference This post provides an update …
arXiv:2603.21272v1 Announce Type: new Abstract: Externalized reasoning is already exploited by transformer-based agents through chain-of-thought, but structured retrieval -- indexing over one's own reasoning state …
NeurIPS 2026 Evaluations & Datasets Track Call for Papers The NeurIPS Evaluations & Datasets (E&D) Track invites submissions that advance the science and practice of …
March 23 2026 Introducing the Evaluations & Datasets Track at NeurIPS 2026 Communication Chairs 2026 2026 Conference We are excited to announce that the Datasets …
arXiv:2603.20293v1 Announce Type: new Abstract: Text-attributed graphs, where nodes are enriched with textual attributes, have become a powerful tool for modeling real-world networks such as …
arXiv:2603.21013v1 Announce Type: new Abstract: Despite recent advances in integrating Large Language Models (LLMs) into social robotics, two weaknesses persist. First, existing implementations on platforms …
NeurIPS 2026 Evaluations & Datasets FAQ This FAQ will be continually updated. Please bookmark this page and review it before submitting any questions. Note: Authors …
arXiv:2603.20213v1 Announce Type: new Abstract: Generative search engines represent a transition from traditional ranking-based retrieval to Large Language Model (LLM)-based synthesis, transforming optimization goals from …
arXiv:2603.20222v1 Announce Type: new Abstract: Emotion detection is a central problem in NLP, with recent progress driven by transformer-based models trained on established datasets. However, …
arXiv:2603.20948v1 Announce Type: new Abstract: gUFO is a lightweight implementation of the Unified Foundational Ontology (UFO) suitable for Semantic Web OWL 2 DL applications. UFO …
arXiv:2603.20396v1 Announce Type: new Abstract: Human mathematics (HM), the mathematics humans discover and value, is a vanishingly small subset of formal mathematics (FM), the totality …
arXiv:2603.21022v1 Announce Type: new Abstract: We propose Knowledge Boundary Discovery (KBD), a reinforcement learning based framework to explore the knowledge boundaries of the Large Language …