All Updates
Page 763 of 772
February 12, 2026
Quadrupeds Cooperate for Super Jumps
Co-jump enables two quadrupeds to synchronize jumps up to 1.5m via MAPPO and curriculum, without communication. Achieves 144% height gain over solo robots using proprioception. Transfers from sim to hardware.
ΞΌpscaling Optimizes Model Warm Starts
Proposes principled upscaling for model widths inspired by ΞΌP, with theory guaranteeing equivalence to widened versions. Extends ΞΌTransfer for hyperparameter scaling, avoiding costly retuning at larger sizes. Applicable to diverse architectures and optimizers with infinite-width analysis.
ProtoGLAD Enables Interpretable Graph Anomalies
ProtoGLAD detects graph-level anomalies by contrasting with nearest normal prototype graphs discovered via point-set kernels. It iteratively clusters normal graphs for unsupervised detection. Provides human-interpretable explanations outperforming black-box methods.
Privacy Shield for Mobile GUI Agents
Framework anonymizes sensitive UI data with type-preserving placeholders for cloud-based GUI agents. Detects PII across screenshots, XML, and instructions via layered architecture. Achieves top privacy-utility trade-off on benchmarks.
Privacy-Aware XR Collaboration Framework
PRISM-XR integrates multimodal LLMs for XR collaboration while filtering sensitive data from XR headset frames on edge servers. It features lightweight registration and customizable content-sharing for efficient synchronization. Evaluations show 90% accuracy in user requests and strong privacy protection.
Policy-Car Swerving Absorbs Traffic Jams
Proposes SVDD-JAD strategy mimicking police swerving to suppress stop-and-go waves via slow-in/fast-out maneuvers. Analyzes five key parameters measurable with roadside detectors. SUMO simulations confirm no secondary waves triggered.
PiT-PO Boosts Equation Discovery with RL
PiT-PO uses reinforcement learning to evolve LLMs for symbolic regression, enforcing physical validity and parsimony. It treats LLMs as adaptive generators updated by search feedback. Achieves SOTA on benchmarks and discovers novel turbulence models.
Physics-Augmented Vehicle Health Monitoring
Dual-stream unsupervised model fuses anomaly detection with physics proxies for embedded vehicle monitoring. Distinguishes transient shocks from sustained high-load states like hill climbing. Runs efficiently on RISC-V ECUs.
PEST Masters 3D Turbulence Simulation
Presents Physics-Enhanced Swin Transformer (PEST) for 3D turbulence. Uses windowed attention, frequency loss, and physics constraints. Outperforms baselines in accuracy and stability.
PELLI Framework Boosts LLM Code Quality
PELLI is an iterative framework for integrating LLMs into software generation, evaluating code on maintainability, performance, and reliability. It tests five popular LLMs across three domains using Python standards. GPT-4T and Gemini outperform others, with prompt design impacting quality.
Open-Source TTS E-book Narrator
Calliope creates synchronized narrated EPUB3 e-books from text using open-source TTS like XTTS-v2. Ensures exact audio-text sync via direct timestamps, preserves original layout offline. Avoids cloud privacy and cost issues.
OmniVL-Guard Fights Multimodal Forgeries
OmniVL-Guard unifies vision-language forgery detection and grounding with balanced RL. Self-Evolving CoT and ARSPO tackle difficulty bias. Excels in zero-shot generalization.
OmniSapiens: HARPO for Social Behaviors
OmniSapiens-7B 2.0 uses HARPO RL to train a unified model across heterogeneous social tasks. HARPO balances learning via modulated advantages. It outperforms baselines by up to 16.85% with robust reasoning.
NSAM: Neuro-Symbolic Action Masking in DRL
NSAM learns symbolic models and action masks automatically during DRL to avoid infeasible actions. It integrates symbolic reasoning with deep policy optimization mutually. Evaluations show improved sample efficiency and fewer violations.
Neurosymbolic AI Conquers Schauder Theory
White paper integrates nonuniform ellipticity breakthrough with topos-theoretic LRMs. Formalizes sharp Schauder estimates using ghost equations. Enables autonomous proofs in calculus of variations.
NAEs Balance Interpretability and Accuracy
Neural Additive Experts use mixture-of-experts per feature with context-gated integration for flexible additivity. Targeted regularization ensures smooth transitions from additive to interactive models. Outperforms on accuracy while preserving feature explanations.
Multi-Layer AI Malware Detector
SecureScan uses logistic regression, heuristics, and VirusTotal for URL/file/binary triage. Achieves 93.1% accuracy with balanced precision/recall. Employs gray-zone logic to cut false positives.
MoE for Drift-Aware Malicious Traffic Detection
MalMoE detects encrypted malicious traffic using graph-based Mixture-of-Experts to handle graph drift. It selects optimal 1-hop-GNN experts via a redesigned gate model. Trained with two-stage strategy and augmentation for real-time precision.
MLLMs Survey on Chart Fusion
Survey organizes MLLM evolution for chart understanding via multimodal fusion. Introduces taxonomy of tasks and datasets. Highlights limitations in perception and reasoning, suggesting alignment and RL enhancements.
MIPLIB-NL for Industrial Optimization Benchmarks
MIPLIB-NL creates natural-language optimization benchmarks from real MIPLIB 2017 instances via structure-aware reverse engineering. Includes 223 validated reconstructions tying NL specs to solver code. Reveals LLM failures on large-scale problems.