Results 41 to 50 of about 7,226 (295)

Learning Features that Predict Cue Usage [PDF]

open access: yes, 1997
Our goal is to identify the features that predict the occurrence and placement of discourse cues in tutorial explanations in order to aid in the automatic generation of explanations.
Moore, Johanna D.   +5 more
core   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced 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

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced 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

Disambiguating Pauli Noise in Quantum Computers

open access: yesPRX Quantum
To successfully perform quantum computations, it is often necessary to first accurately characterize the noise in the underlying hardware. However, it is well known that fundamental limitations prevent the unique identification of the noise model.
Edward H. Chen   +9 more
doaj   +1 more source

The Effects of Age-of-Acquisition on Ambiguity Resolution: Evidence from Eye Movements

open access: yesJournal of Eye Movement Research, 2011
Words that are rated as acquired earlier in life receive shorter fixation durations than later acquired words, even when word frequency is adequately controlled (Juhasz & Rayner, 2003; 2006).
Barbara J. Juhasz   +2 more
doaj   +1 more source

Parsing Chinese with Combinatory Categorial Grammar: A Linguistic and Computational Study

open access: yesComplexity, 2022
Parsing Chinese language with CCG is very difficult because the architecture and assumptions of CCG do not fit well with facts from Chinese. Based on the concept of “realization” proposed by Zhu Dexi (1920–1992), this study sheds light on the discrepancy
Haixia Man   +3 more
doaj   +1 more source

sj-csv-3-las-10.1177_00238309221087715 – for The Role of Prosody in Disambiguating English Indirect Requests

open access: yes, 2022
Supplemental material, sj-csv-3-las-10.1177_00238309221087715 for The Role of Prosody in Disambiguating English Indirect Requests by Sean Trott, Stefanie Reed, Dan Kaliblotzky, Victor Ferreira and Benjamin Bergen in Language and ...
Sean Trott (12423494)   +4 more
core   +1 more source

Real‐Time Holographic Feedback via Mixed Reality Sensorized Laryngoscope Training System Enhances Pediatric Intubation Training

open access: yesAdvanced Robotics Research, EarlyView.
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li   +5 more
wiley   +1 more source

Disambiguating flat spots in discrete scalar fields

open access: yesGraphical Models
We consider 2D scalar fields sampled on a regular grid. When the gradient is low relative to the resolution of the dataset’s range, the signal may contain flat spots: connected areas where all points share the same value.
L. Rocca, F. Iuricich, E. Puppo
doaj   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

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