3/17/2026
Ablate and Rescue: A Causal Analysis of Residual Stream Hyper-Connections
Causal analysis of residual stream hyper-connections in multi-stream transformer architectures exploring mechanistic interpretability.
3/17/2026
Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling
SafeDriver-IQ framework transforming binary crash prediction to continuous risk quantification for driver safety feedback.
3/17/2026
ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations
Continual learning framework for toxicity detection adapting to evolving evasive perturbations in online content.
3/17/2026
IntegratingWeather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
Multimodal weather foundation model combined with satellite data for fine-grained solar irradiance forecasting.
3/17/2026
PCodeTrans: Translate Decompiled Pseudocode to Compilable and Executable Equivalent
LLM-based decompilation tool translating pseudocode to compilable executable code with runtime correctness verification.
3/17/2026
Architecture-Agnostic Feature Synergy for Universal Defense Against Heterogeneous Generative Threats
Architecture-agnostic defense mechanism against heterogeneous generative threats including diffusion models and GANs.
3/17/2026
Video Detector: A Dual-Phase Vision-Based System for Real-Time Traffic Intersection Control and Intelligent Transportation Analysis
Vision-based dual-phase system for real-time traffic intersection control using vehicle detection.
3/17/2026
Sample-Efficient Hypergradient Estimation for Decentralized Bi-Level Reinforcement Learning
Sample-efficient hypergradient estimation for decentralized bi-level reinforcement learning with leader-follower agent dynamics.
3/17/2026
IgPose: A Generative Data-Augmented Pipeline for Robust Immunoglobulin-Antigen Binding Prediction
Generative data-augmentation framework for immunoglobulin-antigen binding prediction with synthetic training data.
3/17/2026
Seismic full-waveform inversion based on a physics-driven generative adversarial network
GAN-based physics-driven approach for seismic full-waveform inversion under complex geological conditions.
3/17/2026
Decision-Level Ordinal Modeling for Multimodal Essay Scoring with Large Language Models
LLM-based automated essay scoring using decision-level ordinal modeling for multimodal inputs with trait-specific visual relevance.
3/17/2026
LLMs as Signal Detectors: Sensitivity, Bias, and the Temperature-Criterion Analogy
Signal Detection Theory analysis of LLM calibration metrics, decomposing sensitivity and bias components beyond ECE.
3/17/2026
Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations
Post-hoc explanation method using informative perturbation selection for uncertainty-aware model interpretability.
3/17/2026
Spectrogram features for audio and speech analysis
Overview of spectrogram-based representations for deep learning audio and speech analysis systems.
3/17/2026
Directional Routing in Transformers
Lightweight routing mechanism for transformer attention heads with mechanistic interpretability analysis of computational pathways.
3/17/2026
FairMed-XGB: A Bayesian-Optimised Multi-Metric Framework with Explainability for Demographic Equity in Critical Healthcare Data
ML fairness framework addressing gender bias in critical healthcare models with explainability integration.
3/17/2026
Learning Question-Aware Keyframe Selection with Synthetic Supervision for Video Question Answering
Framework for question-aware keyframe selection in video question answering using synthetic supervision.
3/17/2026
OrgForge: A Multi-Agent Simulation Framework for Verifiable Synthetic Corporate Corpora
Multi-agent simulation framework generating synthetic corporate corpora with verifiable ground truth for RAG pipeline evaluation.
3/17/2026
How Log-Barrier Helps Exploration in Policy Optimization
Theoretical analysis of log-barrier regularization for improving exploration in policy optimization algorithms.
3/17/2026
Empowering Chemical Structures with Biological Insights for Scalable Phenotypic Virtual Screening
Framework combining chemical structure analysis with biological insights for scalable drug discovery screening.
3/17/2026
TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
Flow matching models for generating pseudo-GPS trajectory data at nation-wide scale while preserving privacy.
3/17/2026
Describing Agentic AI Systems with C4: Lessons from Industry Projects
Framework and architectural patterns for describing agentic AI systems with multi-agent collaboration and artifact exchange.
3/17/2026
Interpretable Predictability-Based AI Text Detection: A Replication Study
Replication study on AI-generated text detection using multilingual models and SHAP-based explainability analysis.
3/17/2026
AnoleVLA: Lightweight Vision-Language-Action Model with Deep State Space Models for Mobile Manipulation
Vision-Language-Action model using state space models for efficient language-guided robotic manipulation tasks.
3/17/2026
Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
Latent-space reasoning approach for LLMs that reduces inference cost by computing reasoning steps implicitly rather than generating verbose traces.
3/17/2026
Analyzing Error Sources in Global Feature Effect Estimation
Analysis of error sources in global feature effect estimation methods like PD and ALE plots for model interpretation.
3/17/2026
Open Biomedical Knowledge Graphs at Scale: Construction, Federation, and AI Agent Access with Samyama Graph Database
Open-source biomedical knowledge graphs with federation and AI agent access for cross-referencing siloed databases.
3/17/2026
ReactMotion: Generating Reactive Listener Motions from Speaker Utterance
Dataset and model for generating listener body motions responding to speaker utterances in multimodal interactions.
3/17/2026
Bridging National and International Legal Data: Two Projects Based on the Japanese Legal Standard XML Schema for Comparative Law Studies
Framework for comparative legal studies connecting Japanese legal data to international standards via XML schema conversion.
3/17/2026
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
Proposes Safe Flow Q-Learning for offline safe reinforcement learning with reachability-based safety constraints.
3/17/2026
To See is Not to Master: Teaching LLMs to Use Private Libraries for Code Generation
Research on improving LLMs' code generation using private libraries through better knowledge integration beyond API documentation retrieval.
3/17/2026
HindSight: Evaluating Research Idea Generation via Future Impact
HindSight evaluation framework measuring AI-generated research idea quality by matching against future publications and citation impact.
3/17/2026
Multimodal Connectome Fusion via Cross-Attention for Autism Spectrum Disorder Classification Using Graph Learning
Graph learning framework with cross-attention fusion of multimodal brain imaging (fMRI and MRI) for autism spectrum disorder classification.
3/17/2026
Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control
Hybrid approach combining Iterative Learning Control with deep reinforcement learning for safe and convergent batch process control.
3/17/2026
Token Coherence: Adapting MESI Cache Protocols to Minimize Synchronization Overhead in Multi-Agent LLM Systems
Token Coherence framework applying MESI cache protocols to reduce synchronization overhead in multi-agent LLM orchestration systems.
3/17/2026
CATFormer: When Continual Learning Meets Spiking Transformers With Dynamic Thresholds
CATFormer combines continual learning with spiking transformers using dynamic thresholds to mitigate catastrophic forgetting.
3/17/2026
What Matters for Scalable and Robust Learning in End-to-End Driving Planners?
Study on architectural design choices for end-to-end autonomous driving planners using bird's eye view representations at scale.
3/17/2026
ADV-0: Closed-Loop Min-Max Adversarial Training for Long-Tail Robustness in Autonomous Driving
ADV-0 closed-loop min-max adversarial training for autonomous driving robustness in long-tail safety-critical scenarios.
3/17/2026
In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks
In-context symbolic regression for extracting interpretable analytical expressions from Kolmogorov-Arnold Networks in scientific ML.
3/17/2026
Directional Embedding Smoothing for Robust Vision Language Models
RESTA defense extended to vision-language models for robustness against multi-modal jailbreaking attacks in trustworthy agentic AI.
3/17/2026
From Documents to Spans: Code-Centric Learning for LLM-based ICD Coding
Code-centric learning approach for LLM-based ICD medical coding improving generalization to unseen codes with better interpretability.
3/17/2026
Scalable Simulation-Based Model Inference with Test-Time Complexity Control
Scalable simulation-based model inference framework with test-time complexity control for selecting among large families of forward models.
3/17/2026
CCTU: A Benchmark for Tool Use under Complex Constraints
CCTU benchmark evaluating LLM tool use under complex constraints, testing function calling, instruction following, and self-refinement.
3/17/2026
Tagarela - A Portuguese speech dataset from podcasts
TAGARELA Portuguese speech dataset with 8,972 hours of podcast audio for ASR and TTS model training.
3/17/2026
NV-Bench: Benchmark of Nonverbal Vocalization Synthesis for Expressive Text-to-Speech Generation
NV-Bench benchmark for nonverbal vocalization synthesis in text-to-speech systems with 1,651 multilingual utterances and functional taxonomy.
3/17/2026
Conditional Rectified Flow-based End-to-End Rapid Seismic Inversion Method
Rectified flow-based generative model for fast seismic inversion in geophysical exploration, balancing sampling efficiency and accuracy.
3/17/2026
FuXiWeather2: Learning accurate atmospheric state estimation for operational global weather forecasting
FuXiWeather2 neural framework for weather forecasting combining data assimilation and prediction without reanalysis product emulation.
3/17/2026
SKILLS: Structured Knowledge Injection for LLM-Driven Telecommunications Operations
SKILLS benchmark framework evaluating LLM agents on 37 telecom operations workflows with real API interfaces, testing structured knowledge injection.
3/17/2026
GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
Hybrid XAI framework combining counterfactual explanations and feature attribution for neural network interpretability in healthcare/finance.
3/17/2026
More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search
Analysis of beam search in LLMs showing wider beams can hurt output quality due to overestimation bias, grounded in Extreme Value Theory.