Dong / He / Long | Bridging Neurons and Symbols for NLP and Knowledge Graph Reasoning | Buch | 978-981-9244-31-7 | www.sack.de

Buch, Englisch, 197 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Artificial Intelligence

Dong / He / Long

Bridging Neurons and Symbols for NLP and Knowledge Graph Reasoning

Third International Workshop, NeusymBridge@AAAI 2026, Held in Conjunction with AAAI 2026, Singapore, January 26, 2026, Proceedings
Erscheinungsjahr 2026
ISBN: 978-981-9244-31-7
Verlag: Springer

Third International Workshop, NeusymBridge@AAAI 2026, Held in Conjunction with AAAI 2026, Singapore, January 26, 2026, Proceedings

Buch, Englisch, 197 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Artificial Intelligence

ISBN: 978-981-9244-31-7
Verlag: Springer


This book constitutes the refereed proceedings of the Third International Workshop on Bridging Neurons and Symbols for NLP and Knowledge Graph Reasoning, NeusymBridge@AAAI 2026, held in conjunction with AAAI 2026, Singapore, on January 26, 2026.

This volume comprises 10 full papers: 6 papers selected from 45 submissions to the NeusymBridge@AAAI’26, 2 papers based on keynote presentations at NeusymBridge, and 2 invited papers from NeusymBridge sibling workshop. All 10 papers underwent a rigorous peer-review process. They reflect the diversity and vitality of current research at the intersection of neural and symbolic AI, addressing a broad spectrum of challenges and opportunities.

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Zielgruppe


Research

Weitere Infos & Material


.- Part I: Invited Papers
.- The quasi-semantic competence of LLMs: A case study on the part-whole relation.
.- From Black Box to Algorithmic Insight: Explainable AI in Graph Neural Networks for Graph Coloring.
.- Reasoning Eligibility: A Fail-Closed Neuro-Symbolic Framework for Accountable Decision Refusal in Safety-Critical AI Systems.
.- Ontology-Constrained Reasoning for Enterprise Data: A Neuro-Symbolic Framework for Text-to-SQL.
.- Part II: Selected Papers from NeusymBridge@AAAI 2026
.- Neurosymbolic LoRA: Why and When to Tune Weights vs. Rewrite Prompts.
.- Improving Symbolic Translation of Language Models for Logical Reasoning.
.- The Inside of Reasoning: Uncovering Algebraic Structure in Bilinear MLPs.
.- On the Limitations of Rank-One Model Editing in Answering Multi-hop Questions.
.- Closing the Specialist-Generalist Gap in Robotics.
.- GamiBench: Evaluating Spatial Reasoning and 2D-to-3D Planning Capabilities of MLLMs with Origami Folding Tasks.



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