3/17/2026
STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks
Graph neural network for predicting disease spread across beehives using spatio-temporal sensor data.
3/17/2026
Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling
Deep learning framework using geometric topology for predicting cold spray particle impact responses in materials processing.
3/17/2026
Infinite Problem Generator: Verifiably Scaling Physics Reasoning Data with Agentic Workflows
Infinite Problem Generator: agentic framework synthesizing physics problems with guaranteed solvability for LLM training data generation.
3/17/2026
Bridging the Gap in the Responsible AI Divides
Analysis of tensions between AI Safety and AI Ethics in governance, proposing engagement modes and bridging approaches.
3/17/2026
CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language
CangjieBench benchmark for evaluating LLMs on Cangjie, a low-resource general-purpose programming language with contamination-free evaluation.
3/17/2026
Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
Trust-region search algorithm for black-box alignment of diffusion and flow models to target rewards at inference time without gradient access.
3/17/2026
VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning
Vision-Language-Action framework with thinking-with-image reasoning allowing models to revisit visual context during long-horizon embodied tasks.
3/17/2026
MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detection
Benchmark of 12 language models on MALINT, a human-annotated disinformation corpus capturing malicious intent, for improved detection.
3/17/2026
Visualizing Critic Match Loss Landscapes for Interpretation of Online Reinforcement Learning Control Algorithms
Loss landscape visualization method for analyzing critic neural networks in online reinforcement learning actor-critic algorithms.
3/17/2026
An End-to-end Architecture for Collider Physics and Beyond
End-to-end language-driven agent system for high-energy physics phenomenology workflows, executing tasks from theoretical input to final outputs.
3/17/2026
A comprehensive multimodal dataset and benchmark for ulcerative colitis scoring in endoscopy
Multimodal medical dataset and benchmark for automated ulcerative colitis severity scoring in endoscopy using standardized metrics.
3/17/2026
Machine Learning-Driven Intelligent Memory System Design: From On-Chip Caches to Storage
Survey on using machine learning methods for adaptive memory system design in modern computing platforms instead of static heuristics.
3/17/2026
Adapting Critic Match Loss Landscape Visualization to Off-policy Reinforcement Learning
Extension of critic match loss landscape visualization method to off-policy reinforcement learning and Soft Actor-Critic algorithm.
3/17/2026
FlashHead: Efficient Drop-In Replacement for the Classification Head in Language Model Inference
Efficient drop-in replacement for dense classification heads in language models, reducing parameter and compute overhead for consumer devices.
3/17/2026
D-MEM: Dopamine-Gated Agentic Memory via Reward Prediction Error Routing
Biologically-inspired agentic memory architecture using reward prediction error routing to reduce token costs and write latency in LLM agents.
3/17/2026
A Loss Landscape Visualization Framework for Interpreting Reinforcement Learning: An ADHDP Case Study
Loss landscape visualization framework for interpreting reinforcement learning behavior in actor-critic algorithms and control systems.
3/17/2026
$PA^3$: $\textbf{P}$olicy-$\textbf{A}$ware $\textbf{A}$gent $\textbf{A}$lignment through Chain-of-Thought
Policy-aware agent alignment framework using chain-of-thought reasoning to help LLM agents adhere to complex business rules without excessive prompting.
3/17/2026
Delightful Policy Gradient
Novel policy gradient method addressing pathological behavior in standard policy gradients through context-aware advantage weighting.
3/17/2026
LLM-Augmented Release Intelligence: Automated Change Summarization and Impact Analysis in Cloud-Native CI/CD Pipelines
LLM-augmented system for automated change summarization and impact analysis in cloud-native CI/CD pipelines and release management.
3/17/2026
EcoFair-CH-MARL: Scalable Constrained Hierarchical Multi-Agent RL with Real-Time Emission Budgets and Fairness Guarantees
Constrained hierarchical multi-agent RL framework for sustainable maritime logistics with emission budgets and fairness guarantees.
3/17/2026
s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs
Benchmark for evaluating LLMs on low-level code reasoning and formal proof generation using cryptographic library assembly code.
3/17/2026
ResearchPilot: A Local-First Multi-Agent System for Literature Synthesis and Related Work Drafting
Open-source multi-agent system for literature review assistance using DSPy, Qdrant, and local-first architecture to synthesize papers and draft related work.
3/17/2026
Anterior's Approach to Fairness Evaluation of Automated Prior Authorization System
Framework for evaluating fairness in automated prior authorization systems for healthcare, addressing demographic parity in medical decision-making.
3/17/2026
Compute Allocation for Reasoning-Intensive Retrieval Agents
Study on compute allocation strategies for LLM-augmented retrieval agents handling reasoning-intensive queries over long horizons with growing memory stores.
3/17/2026
Nudging Hidden States: Training-Free Model Steering for Chain-of-Thought Reasoning in Large Audio-Language Models
Training-free inference-time model steering strategies to improve chain-of-thought reasoning in large audio-language models across multiple benchmarks.
3/17/2026
TopoCL: Topological Contrastive Learning for Medical Imaging
TopoCL framework for medical imaging that adds topological contrastive learning to capture connectivity and boundary patterns beyond visual appearance.
3/17/2026
A Methodology for Thermal Limit Bias Predictability Through Artificial Intelligence
Deep learning methodology for predicting thermal limit bias in boiling water nuclear reactors to improve operational efficiency.
3/17/2026
EARCP: Self-Regulating Coherence-Aware Ensemble Architecture for Sequential Decision Making -- Ensemble Auto-Regule par Coherence et Performance
EARCP ensemble architecture dynamically weights heterogeneous expert models based on performance and inter-model coherence for sequential decision making.
3/17/2026
Human-AI Ensembles Improve Deepfake Detection in Low-to-Medium Quality Videos
Empirical study comparing human deepfake detection to 95 AI detectors on standard and mobile-recorded video datasets.
3/17/2026
VisionCoach: Reinforcing Grounded Video Reasoning via Visual-Perception Prompting
VisionCoach uses reinforcement learning with visual-perception prompting to improve spatio-temporal grounding in video reasoning models.
3/17/2026
Comparative Analysis of 3D Convolutional and 2.5D Slice-Conditioned U-Net Architectures for MRI Super-Resolution via Elucidated Diffusion Models
Comparative analysis of 3D and 2.5D U-Net architectures for brain MRI super-resolution using elucidated diffusion models.
3/17/2026
Seamless Deception: Larger Language Models Are Better Knowledge Concealers
Study on detecting when language models actively conceal knowledge, finding larger models better at deception with gradient-based concealment easier to detect.
3/17/2026
MVHOI: Bridge Multi-view Condition to Complex Human-Object Interaction Video Reenactment via 3D Foundation Model
Two-stage framework for complex human-object interaction video reenactment using 3D foundation models and multi-view conditions.
3/17/2026
AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems
AgentTrace provides lightweight causal graph tracing for post-hoc root cause diagnosis in deployed multi-agent workflows with cascading failures.
3/17/2026
Applications of Intuitionistic Temporal Logic to Temporal Answer Set Programming
Theoretical work on intuitionistic temporal logic and its relationship to temporal answer set programming.
3/17/2026
Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation
Domain adaptation approach for building damage detection across different disaster types using remote sensing imagery.
3/17/2026
Beyond Local Code Optimization: Multi-Agent Reasoning for Software System Optimization
Multi-agent reasoning framework for automated software system performance optimization beyond local code transformations, reasoning about whole-system interactions.
3/17/2026
AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers
AdapterTune adds zero-initialized low-rank adapters to frozen Vision Transformers for stable transfer learning with principled capacity guidance.
3/17/2026
TrajMamba: An Ego-Motion-Guided Mamba Model for Pedestrian Trajectory Prediction from an Egocentric Perspective
TrajMamba uses Mamba architecture to predict pedestrian trajectories from egocentric camera perspective using ego-motion guidance.
3/17/2026
Towards Privacy-Preserving Machine Translation at the Inference Stage: A New Task and Benchmark
Privacy-preserving machine translation at inference stage with new benchmark dataset for evaluating local translation without cloud servers.
3/17/2026
Topology-Preserving Data Augmentation for Ring-Type Polygon Annotations
Data augmentation technique preserving ring-type polygon topology in architectural floorplan segmentation pipelines.
3/17/2026
POLCA: Stochastic Generative Optimization with LLM
POLCA framework uses LLMs as optimizers guided by rewards and feedback to automate optimization of prompts and multi-turn agent systems, formalizing it as stochastic generative optimization.
3/17/2026
HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
Hybrid-order split federated learning combining zeroth-order optimization with standard backprop for memory-efficient fine-tuning.
3/17/2026
$p^2$RAG: Privacy-Preserving RAG Service Supporting Arbitrary Top-$k$ Retrieval
Privacy-preserving RAG service supporting arbitrary top-k retrieval for LLM-based systems with secure document retrieval.
3/17/2026
LaPro-DTA: Latent Dual-View Drug Representations and Salient Protein Feature Extraction for Generalizable Drug--Target Affinity Prediction
Framework for generalizable drug-target affinity prediction using latent representations and salient feature extraction.
3/17/2026
Multi-Task Genetic Algorithm with Multi-Granularity Encoding for Protein-Nucleotide Binding Site Prediction
Multi-task genetic algorithm with multi-granularity encoding for protein-nucleotide binding site prediction.
3/17/2026
Universe Routing: Why Self-Evolving Agents Need Epistemic Control
Framework for lifelong agents requiring epistemic control to select appropriate reasoning frameworks and prevent decision chain failures.
3/17/2026
SimCert: Probabilistic Certification for Behavioral Similarity in Deep Neural Network Compression
Probabilistic certification method for verifying behavioral fidelity in compressed deep neural networks.
3/17/2026
RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion Models
Model-agnostic unlearning framework using ratio-aware layer editing for vision transformers and diffusion models.
3/17/2026
Two Birds, One Projection: Harmonizing Safety and Utility in LVLMs via Inference-time Feature Projection
Inference-time feature projection balancing safety and utility tradeoffs in large vision-language models.