Results 81 to 90 of about 1,360,419 (300)
Logic, inference, understanding: cross-domain generalization for generative language models
Frontiers in Artificial IntelligenceNeural systems for Natural Language Inference (NLI) have seen impressive performance over the last ten years, but their ability to generalize beyond their training data has repeatedly been questioned.
Rasmus Blanck, Bill Noble
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
What is the abdomen? Rationalising clinical and anatomical perspectives using formal semantics. [PDF]
J Anat, 2021 Brown PJB, Gao Y, Clunie D.
europepmc +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Antonymy In Space And Other Strictly Ordered Domains
The Baltic International Yearbook of Cognition, Logic and Communication, 2015 Natural language references different types of entities. Some of these entities (e.g. degrees, locations, times) are strictly ordered with respect to one another; others (e.g. individuals, possible worlds) are not.
Jessica Rett
doaj +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Experimental evidence for neg-raising in Slavic
Linguistica, 2016 Most research studying neg-raising focuses on English. Two notable exceptions are Bošković & Gajewski (2009) and Dočekal (2014) who discuss neg-raising in Slavic.
Mojmír Dočekal, Jakub Dotlačil
doaj +1 more source
An implementation of formal semantics in the formalism of relational databases [PDF]
Proceedings of the 13th conference on Computational linguistics -, 1990 This paper presents an implementation of formal semantics as described in Keenan and Faltz's Boolean Semantics for Natural Language (4). The main characteristic of this implementation is that it avoids the intermediate step of translating NL into a formal language, such as an extended version of predicate calculus.
openaire +2 more sources
Advanced Robotics Research, EarlyView.DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source