MultiUAV-Plat supplies a new RESTful simulation platform and 1500-task benchmark where Agent4Drone reaches 57.9% task pass rate versus 30.6% for ReAct baseline across 75 multi-UAV missions.
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In: The 17th International Conference on Ambient Systems, Networks and Technologies (ANT 2023) / The 3rd International Workshop on Causality, Agents and Large Models (CALM-26)
13 Pith papers cite this work. Polarity classification is still indexing.
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cs.AI 2 cs.CV 2 cs.LG 2 astro-ph.CO 1 astro-ph.HE 1 cs.CL 1 cs.HC 1 cs.NI 1 math.AP 1 quant-ph 1years
2026 13polarities
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Introduces regression on regression to fit physical parameters (τ_min, α, A, γ, δ) to GWTC-4 B-Spline merger rate posteriors, finding the progenitor formation rate evolves ~5.3 times steeper than the star formation rate at low z and exposing model misspecification.
Existence and uniqueness of weak entropy solutions for nonlocal nonlinear scalar conservation laws is proven on short time horizons via fixed-point methods, extending to any finite horizon under additional assumptions.
TRACE is a RANO 2.0-aligned concept bottleneck model for 4-class longitudinal glioblastoma response classification on 3D MRI that reports 0.4769 macro F1 on the LUMIERE dataset via 5-fold patient-wise cross-validation.
ML-SPnP accelerates stochastic PnP for SVCT by using MRA approximation spaces where prior-coherence corrections vanish in expectation, yielding comparable quality at reduced runtime.
Agentic iteration improves perceived quality of generated multiview genomics visualizations over direct LLM generation, but adding more specialist agents or a reviewer yields no further gains across 159 test cases.
SKA FRB dispersion measures and their cross-correlations with Stage IV shear and clustering can pin down baryonic feedback and improve cosmological constraints by factors of ~2–5 under optimistic detection rates.
This survey categorizes agentic environments for LLMs by eight attributes and domains, introduces symbolic and neural synthesis paradigms with evaluation, and outlines four agent evolution pathways plus three environment evolution paradigms.
Adapting tabular foundation models with an MTLR survival head produces competitive or superior C-index scores on MIMIC-IV (0.856) and eICU (0.797) compared to DeepSurv and zero-shot baselines.
A method that translates causal relationships into a Bipolar Argumentation Framework and applies semi-stable semantics to generate explanatory feature sets for machine learning predictions.
INAR-VL routes 36% of visual question answering requests to the edge using lightweight complexity signals, cutting latency 24% and energy 26% while retaining 97% of cloud accuracy.
A practical review summarizing principles and requirements of modern cryogenic systems from flow cryostats to dilution refrigerators for solid-state quantum optical devices.
citing papers explorer
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MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning
MultiUAV-Plat supplies a new RESTful simulation platform and 1500-task benchmark where Agent4Drone reaches 57.9% task pass rate versus 30.6% for ReAct baseline across 75 multi-UAV missions.
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Regression on Regression: Mapping Data-Driven Binary Black Hole Merger Rate Fits to Progenitor Histories
Introduces regression on regression to fit physical parameters (τ_min, α, A, γ, δ) to GWTC-4 B-Spline merger rate posteriors, finding the progenitor formation rate evolves ~5.3 times steeper than the star formation rate at low z and exposing model misspecification.
-
Existence and uniqueness of nonlocal nonlinear conservation laws via fixed-point methods
Existence and uniqueness of weak entropy solutions for nonlocal nonlinear scalar conservation laws is proven on short time horizons via fixed-point methods, extending to any finite horizon under additional assumptions.
-
TRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment
TRACE is a RANO 2.0-aligned concept bottleneck model for 4-class longitudinal glioblastoma response classification on 3D MRI that reports 0.4769 macro F1 on the LUMIERE dataset via 5-fold patient-wise cross-validation.
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Multilevel Stochastic Plug-and-Play for Sparse-View CT Reconstruction
ML-SPnP accelerates stochastic PnP for SVCT by using MRA approximation spaces where prior-coherence corrections vanish in expectation, yielding comparable quality at reduced runtime.
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Agentic Authoring of Interactive Multiview Visualizations in Genomics
Agentic iteration improves perceived quality of generated multiview genomics visualizations over direct LLM generation, but adding more specialist agents or a reviewer yields no further gains across 159 test cases.
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Probing the Baryon Distribution with Fast Radio Bursts
SKA FRB dispersion measures and their cross-correlations with Stage IV shear and clustering can pin down baryonic feedback and improve cosmological constraints by factors of ~2–5 under optimistic detection rates.
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Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application
This survey categorizes agentic environments for LLMs by eight attributes and domains, introduces symbolic and neural synthesis paradigms with evaluation, and outlines four agent evolution pathways plus three environment evolution paradigms.
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Tabular Foundation Models for Clinical Survival Analysis via Survival-Aware Adaptation
Adapting tabular foundation models with an MTLR survival head produces competitive or superior C-index scores on MIMIC-IV (0.856) and eICU (0.797) compared to DeepSurv and zero-shot baselines.
-
A Causal Argumentation Method for Explainability of Machine Learning Models
A method that translates causal relationships into a Bipolar Argumentation Framework and applies semi-stable semantics to generate explanatory feature sets for machine learning predictions.
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INAR-VL: Input-Aware Routing for Edge-Cloud Vision-Language Inference
INAR-VL routes 36% of visual question answering requests to the edge using lightweight complexity signals, cutting latency 24% and energy 26% while retaining 97% of cloud accuracy.
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Cryogenic Systems for Quantum Photonic Technologies: A Practical Review
A practical review summarizing principles and requirements of modern cryogenic systems from flow cryostats to dilution refrigerators for solid-state quantum optical devices.
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