3/18/2026
DASH: Dynamic Audio-Driven Semantic Chunking for Efficient Omnimodal Token Compression
Token compression method for omnimodal LLMs using dynamic audio-driven semantic chunking to reduce inference costs for audio-visual processing.
3/18/2026
Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation
Domain adaptation approach for remaining useful life prediction using evidential learning under incomplete degradation trajectories.
3/18/2026
Loosely-Structured Software: Engineering Context, Structure, and Evolution Entropy in Runtime-Rewired Multi-Agent Systems
Study on engineering challenges in LLM-based multi-agent systems, addressing context pressure, coordination errors, and system drift at scale.
3/18/2026
BadLLM-TG: A Backdoor Defender powered by LLM Trigger Generator
Defense framework against backdoor attacks in LLMs using trigger generation and inversion to locate and mitigate malicious triggers.
3/18/2026
Tackling Over-smoothing on Hypergraphs: A Ricci Flow-guided Neural Diffusion Approach
Study on over-smoothing in hypergraph neural networks using Ricci flow theory to improve message passing and layer depth handling.
3/18/2026
This Is Taking Too Long -- Investigating Time as a Proxy for Energy Consumption of LLMs
Research on using inference time as a proxy to estimate LLM energy consumption, addressing opacity in API-based model access and environmental impact.
3/18/2026
SEMAG: Self-Evolutionary Multi-Agent Code Generation
SEMAG: self-evolutionary multi-agent code generation framework that decomposes programming tasks into planning, coding, debugging stages with adaptive workflow selection.
3/18/2026
Mastering the Minority: An Uncertainty-guided Multi-Expert Framework for Challenging-tailed Sequence Learning
Uncertainty-guided multi-expert framework for imbalanced sequence learning addressing poor expert specialization and prediction conflicts in long-tailed data.
3/18/2026
LLM-Driven Discovery of High-Entropy Catalysts via Retrieval-Augmented Generation
Retrieval-augmented generation framework using GPT-4 to accelerate CO2 reduction catalyst discovery by exploring chemical spaces and interpreting results.
3/18/2026
Embedding-Aware Feature Discovery: Bridging Latent Representations and Interpretable Features in Event Sequences
Method bridging learned embeddings and handcrafted features in event sequences for financial systems, addressing interpretability and latency constraints in production ML.
3/18/2026
How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition
Large-scale competition analysis revealing LLM agents' vulnerability to indirect prompt injection attacks through adversarial instructions in external content sources.
3/18/2026
A Framework and Prototype for a Navigable Map of Datasets in Engineering Design and Systems Engineering
Framework and prototype for navigable dataset map in engineering design and systems engineering to improve data accessibility and research reproducibility.
3/18/2026
Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning in Unified Multimodal Models
Meta-TTRL: metacognitive test-time reinforcement learning framework for unified multimodal models enabling knowledge accumulation across similar prompts in text-to-image generation.
3/18/2026
MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
MiroThinker-1.7 and H1: research agents with enhanced verification and multi-step reasoning via structured planning and contextual reasoning for long-horizon tasks.
3/18/2026
ClawWorm: Self-Propagating Attacks Across LLM Agent Ecosystems
ClawWorm: first documented self-propagating attack across LLM agent ecosystems, demonstrating security vulnerabilities in OpenClaw platform with 40,000+ active instances.
3/18/2026
You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector
Technique improving pretrained diffusion/flow-matching robot policies by replacing sampled noise with optimized constant vectors for better downstream reward performance.
3/18/2026
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
Simulation Distillation method enabling sim-to-real transfer in robotics by pretraining world models in simulation for rapid real-world adaptation with low data.
3/18/2026
CorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous Driving
CorrectionPlanner: autonomous driving planner using reinforcement learning with explicit self-correction mechanism in propose-evaluate-correct loop for unsafe action handling.
3/18/2026
Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs
Evaluation of how LLMs and tokenizers handle Arabic root-pattern morphology, testing whether models capture genuine morphological structure or rely on surface memorization.
3/18/2026
Parallelised Differentiable Straightest Geodesics for 3D Meshes
Differentiable framework for computing geodesics on 3D meshes with parallelization support to improve machine learning on non-Euclidean geometric domains.
3/18/2026
OMNIFLOW: A Physics-Grounded Multimodal Agent for Generalized Scientific Reasoning
OMNIFLOW: multimodal agent combining LLMs with physics-grounded reasoning to handle spatiotemporal PDE dynamics without domain-specific fine-tuning, reducing non-physical hallucinations.
3/18/2026
Don't Trust Stubborn Neighbors: A Security Framework for Agentic Networks
Security framework for LLM-based multi-agent systems addressing manipulation risks from malicious agents in interactive agentic networks through communication channel exploitation.
3/18/2026
Hypothesis Class Determines Explanation: Why Accurate Models Disagree on Feature Attribution
Large-scale empirical study demonstrating prediction-equivalent models produce substantially different feature attributions across 24 datasets, challenging explainability assumptions.
3/18/2026
When Stability Fails: Hidden Failure Modes Of LLMS in Data-Constrained Scientific Decision-Making
Study showing LLM stability across repeated runs does not guarantee agreement with statistical ground truth in data-constrained scientific decision-making workflows.
3/18/2026
Informationally Compressive Anonymization: Non-Degrading Sensitive Input Protection for Privacy-Preserving Supervised Machine Learning
Informationally Compressive Anonymization (ICA) method for privacy-preserving ML that protects sensitive data without the performance degradation of differential privacy or homomorphic encryption.
3/18/2026
Interpretative Interfaces: Designing for AI-Mediated Reading Practices and the Knowledge Commons
arXiv: Design principles for XAI interfaces enabling scientists to probe and interpret LLM behavior in reading and research workflows.
3/18/2026
Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning
arXiv: Counteractive RL framework addressing exponential state space complexity for efficient deep reinforcement learning.
3/18/2026
Electrodermal Activity as a Unimodal Signal for Aerobic Exercise Detection in Wearable Sensors
arXiv: Study on electrodermal activity as standalone physiological signal for detecting aerobic exercise in wearables.
3/18/2026
PhasorFlow: A Python Library for Unit Circle Based Computing
arXiv: Python library for unit circle-based computing using complex phasors and unitary gates on torus topology.
3/18/2026
COGNAC at SemEval-2026 Task 5: LLM Ensembles for Human-Level Word Sense Plausibility Rating in Challenging Narratives
arXiv: LLM ensemble approaches for word sense plausibility rating in SemEval-2026 using zero-shot and Chain-of-Thought prompting.
3/18/2026
The Internet of Physical AI Agents: Interoperability, Longevity, and the Cost of Getting It Wrong
arXiv: Framework for Internet of Physical AI Agents addressing interoperability, security, and sustainability in IoT environments.
3/18/2026
Federated Learning for Privacy-Preserving Medical AI
arXiv: Privacy-preserving federated learning for Alzheimer's classification using 3D MRI with site-aware techniques.
3/18/2026
The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning
arXiv: Practical guide to AI-assisted research in mathematics and ML, covering productive tool use and responsible guardrails.
3/18/2026
Auto Researching, not hyperparameter tuning: Convergence Analysis of 10,000 Experiments
arXiv: Analysis of 10,469 experiments by Claude Opus and Gemini agents across 108k design space cells for ML architecture search.
3/18/2026
VIBEPASS: Can Vibe Coders Really Pass the Vibe Check?
arXiv: VIBEPASS empirically evaluates LLM self-diagnosis and repair capabilities for autonomous software engineering.
3/18/2026
Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare
arXiv: Benchmarking causal discovery algorithms on synthetic healthcare data for fairness and utility evaluation.
3/18/2026
Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification
arXiv: LLM-guided neural architecture search for multimodal time-series classification under data-locality constraints for healthcare.
3/18/2026
A Family of LLMs Liberated from Static Vocabularies
arXiv: LLM family with dynamic tokenizers eliminating fixed vocabulary constraints, up to 70B parameters, improved domain/language adaptation.
3/18/2026
MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale
MobileLLM-Flash methodology designs on-device LLMs optimized for latency constraints using hardware-in-the-loop architecture search.
3/18/2026
ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors
ExpertGen automates expert policy generation in simulation for scalable sim-to-real robotic behavior cloning transfer.
3/18/2026
MoLoRA: Composable Specialization via Per-Token Adapter Routing
MoLoRA enables per-token adapter routing for multimodal generation and mixed-capability requests in multi-adapter serving.
3/18/2026
100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models
Lightweight proxy models reduce LLM query costs and latency 100x for AI-augmented SQL operations.
3/18/2026
Standardizing Medical Images at Scale for AI
Physics-based preprocessing framework standardizes heterogeneous medical images at scale for improved model generalization.
3/18/2026
Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning
Multi-task RL with chain-of-thought prompting aligns paralinguistic understanding and generation in speech LLMs.
3/18/2026
Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech
Three-stage framework for dysarthric speech severity estimation using pseudo-labeling and data augmentation.
3/18/2026
The Midas Touch in Gaze vs. Hand Pointing: Modality-Specific Failure Modes and Implications for XR Interfaces
xr-adaptive-modality platform studies modality-specific interventions for XR interfaces balancing gaze and hand input.
3/18/2026
RadAnnotate: Large Language Models for Efficient and Reliable Radiology Report Annotation
RadAnnotate uses LLMs with retrieval augmentation and selective automation for efficient radiology report annotation.
3/18/2026
Evaluating Agentic Optimization on Large Codebases
FormulaCode benchmark evaluates LLM coding agents on repository-level codebase optimization with realistic multi-objective constraints.
3/18/2026
FlatLands: Generative Floormap Completion From a Single Egocentric View
FlatLands dataset and benchmark for bird's-eye view floor completion from single egocentric images.
3/18/2026
Understanding Moral Reasoning Trajectories in Large Language Models: Toward Probing-Based Explainability
Probing-based analysis of moral reasoning trajectories in LLMs across six models showing systematic multi-framework deliberation.