4/14/2026
FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios
Fine-grained benchmark evaluating multimodal LLMs on manufacturing scenarios.
4/14/2026
Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation
Privacy-preserving synthetic data generation using LLMs with differential privacy mechanisms.
4/14/2026
Detecting HIV-Related Stigma in Clinical Narratives Using Large Language Models
LLM-based tool for identifying HIV-related stigma in clinical narratives.
4/14/2026
Data Selection for Multi-turn Dialogue Instruction Tuning
Data selection framework for multi-turn dialogue instruction tuning addressing dataset noise and inconsistency.
4/14/2026
Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization
Genetic programming combined with latent space optimization for symbolic regression via neural encoders.
4/14/2026
Re-Mask and Redirect: Exploiting Denoising Irreversibility in Diffusion Language Models
Attack exploiting denoising irreversibility in diffusion language models to bypass safety alignment.
4/14/2026
Accelerating Transformer-Based Monocular SLAM via Geometric Utility Scoring
Optimization for geometric foundation models in monocular SLAM via efficient keyframe selection.
4/14/2026
Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems
Empirical study measuring bias amplification in multi-agent systems topologies and feedback loops.
4/14/2026
Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition
Interactive ASR system with semantic coherence evaluation and human-like correction mechanisms.
4/14/2026
Many-Tier Instruction Hierarchy in LLM Agents
Framework for managing hierarchical instruction conflicts in multi-source LLM agent environments.
4/14/2026
The Diffusion-Attention Connection
Theoretical connection between Transformers, diffusion maps, and magnetic Laplacians through Markov geometry.
4/14/2026
Deliberative Alignment is Deep, but Uncertainty Remains: Inference time safety improvement in reasoning via attribution of unsafe behavior to base model
Study of deliberative alignment for deeper safety in reasoning LLMs via attribution analysis.
4/14/2026
Human-like Working Memory Interference in Large Language Models
Analysis of working memory limitations in LLMs and comparison with biological systems.
4/14/2026
Belief-State RWKV for Reinforcement Learning under Partial Observability
RWKV-based RL approach with explicit belief state representation for partial observability problems.
4/14/2026
Active Inference with a Self-Prior in the Mirror-Mark Task
Computational model using Transformer self-prior to simulate mirror self-recognition behavior without external rewards.
4/14/2026
A Comparative Theoretical Analysis of Entropy Control Methods in Reinforcement Learning
Theoretical analysis comparing entropy regularization and covariance-based mechanisms for controlling policy collapse in RL-enhanced LLMs.
4/14/2026
STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction
Framework for robust structured prediction using Tsallis reweighting and task-agnostic prompting with XML structure for group-robust fine-tuning.
4/14/2026
ExecTune: Effective Steering of Black-Box LLMs with Guide Models
Guide-Core Policies framework for black-box LLM agents where guide models generate structured strategies executed by core models reducing inference costs.
4/14/2026
Explainable Human Activity Recognition: A Unified Review of Concepts and Mechanisms
Review of explainable AI mechanisms for human activity recognition in healthcare, assistive living, and smart environments applications.
4/14/2026
Relational Preference Encoding in Looped Transformer Internal States
Analysis of preference encoding in looped transformer internal states using lightweight evaluator heads on RLHF dataset.
4/14/2026
Efficient Personalization of Generative User Interfaces
Methods for personalizing generative user interfaces addressing subjective preferences through preference divergence analysis and sparse feedback.
4/14/2026
Last-Iterate Convergence of Randomized Kaczmarz and SGD with Greedy Step Size
Convergence analysis of randomized Kaczmarz and SGD with greedy step size proving O(1/t^3/4) last-iterate convergence rate.
4/14/2026
Regularized Entropy Information Adaptation with Temporal-Awareness Networks for Simultaneous Speech Translation
Temporal-aware network improving simultaneous speech translation policy to balance quality and latency with temporal context awareness.
4/14/2026
A Tale of Two Temperatures: Simple, Efficient, and Diverse Sampling from Diffusion Language Models
Sampling methods for diffusion language models balancing speed, quality, and diversity through tempered confidence-based remasking.
4/14/2026
SLM Finetuning for Natural Language to Domain Specific Code Generation in Production
Fine-tuning small language models for domain-specific code generation in production environments with strict latency requirements.
4/14/2026
From Recency Bias to Stable Convergence Block Kaczmarz Methods for Online Preference Learning in Matchmaking Applications
Kaczmarz-based preference learning algorithms for real-time matchmaking with stable convergence replacing recency-biased normalization.
4/14/2026
Muon$^2$: Boosting Muon via Adaptive Second-Moment Preconditioning
Extension of Muon optimizer reducing computational overhead in foundation model pre-training through adaptive second-moment preconditioning.
4/14/2026
LoDAdaC: a unified local training-based decentralized framework with adaptive gradients and compressed communication
Decentralized learning framework combining adaptive gradients and compressed communication for federated settings with multiple local training steps.
4/14/2026
Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels
First benchmark for multi-source domain generalization in automatic sleep staging with noisy labels across institutions and devices.
4/14/2026
Closed-Form Concept Erasure via Double Projections
Closed-form method for concept erasure in diffusion models using double projections without iterative optimization.
4/14/2026
Cross-Validated Cross-Channel Self-Attention and Denoising for Automatic Modulation Classification
Cross-validated self-attention with denoising for automatic modulation classification under low signal-to-noise conditions.
4/14/2026
When Can You Poison Rewards? A Tight Characterization of Reward Poisoning in Linear MDPs
Characterizes necessity and sufficiency conditions for reward poisoning attacks in reinforcement learning with linear MDPs.
4/14/2026
Graph-RHO: Critical-path-aware Heterogeneous Graph Network for Long-Horizon Flexible Job-Shop Scheduling
Heterogeneous graph network with critical-path awareness for long-horizon flexible job-shop scheduling using rolling horizon optimization.
4/14/2026
Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs
Theoretical analysis of why transformers learn optimal DDPM denoiser for multi-token Gaussian mixture models.
4/14/2026
Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation
Survey on attention sink phenomenon in transformers, covering utilization, interpretation, and mitigation strategies.
4/14/2026
End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables
Automated DNN optimization for PPG-based blood pressure estimation on resource-constrained wearable devices.
4/14/2026
Consensus-based Recursive Multi-Output Gaussian Process
Distributed consensus-based framework for recursive multi-output Gaussian processes in large-scale streaming settings.
4/14/2026
A Temporally Augmented Graph Attention Network for Affordance Classification
Temporally augmented graph attention network for affordance classification from EEG sequential data.
4/14/2026
Tracing the Thought of a Grandmaster-level Chess-Playing Transformer
Interprets internal computation of Leela Chess Zero transformer using sparse decomposition to explain grandmaster-level reasoning.
4/14/2026
Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks
Spatial-temporal graph neural networks for virtual metering in sparsely instrumented district heating networks.
4/14/2026
Exploring the impact of fairness-aware criteria in AutoML
Studies fairness-aware criteria in automated machine learning frameworks to mitigate bias and discriminatory outcomes.
4/14/2026
A Multi-head Attention Fusion Network for Industrial Prognostics under Discrete Operational Conditions
Multi-head attention fusion network for predicting degradation of industrial machinery operating under changing conditions.
4/14/2026
The Phase Is the Gradient: Equilibrium Propagation for Frequency Learning in Kuramoto Networks
Theoretical analysis proving phase displacement in Kuramoto oscillator networks equals gradient of loss for frequency learning.
4/14/2026
A Diffusion-Contrastive Graph Neural Network with Virtual Nodes for Wind Nowcasting in Unobserved Regions
Graph neural network with diffusion-contrastive learning for wind nowcasting in regions lacking dense observation networks.
4/14/2026
Integrating SAINT with Tree-Based Models: A Case Study in Employee Attrition Prediction
Combines SAINT attention mechanism with tree-based models like XGBoost for improved employee attrition prediction on tabular HR data.
4/14/2026
WaterAdmin: Orchestrating Community Water Distribution Optimization via AI Agents
AI agents for optimizing community water distribution systems by scheduling pumps and valves to meet demands while minimizing energy in dynamic real-world environments.
4/14/2026
Intent-aligned Formal Specification Synthesis via Traceable Refinement
Presents VeriSpecGen for automatic formal specification synthesis from natural language using LLMs with traceability for code verification.
4/14/2026
Latent Instruction Representation Alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs
Introduces LIRA method to defend LLMs against jailbreaks, backdoors, and unlearning by training models to align instruction representation.
4/14/2026
CARE-ECG: Causal Agent-based Reasoning for Explainable and Counterfactual ECG Interpretation
Proposes CARE-ECG, causal agent-based reasoning framework for explainable ECG interpretation combining LLMs with physiological structure.
4/14/2026
Membership Inference Attacks Expose Participation Privacy in ECG Foundation Encoders
Demonstrates membership inference attacks on ECG foundation encoders, exposing participation privacy risks in self-supervised pretraining.