3/12/2026
Show HN: Restailor – open-source AI job fit/resume tailor/job tracker
Open-source resume and job application tool using LLM integrations from multiple providers for tailoring and job tracking.
3/12/2026
Which Model Uncensoring Method Works Best?
Comparison of three methods (Ablation, Heretic, Obliteratus) for removing refusal behaviors from LLMs.
3/12/2026
White House AI Video Tweet
Title only, no content provided.
3/12/2026
Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes
Task-aware representation learning framework for upscaling sparse terrestrial carbon flux measurements globally.
3/12/2026
Mindstorms in Natural Language-Based Societies of Mind
Societies of large language models collaborating through natural language interfaces to solve problems, inspired by Minsky's society of mind concept.
3/12/2026
Exploratory Optimal Stopping: A Singular Control Formulation
Continuous-time optimal stopping problem formulated as reinforcement learning with randomized stopping times and exploration regularization.
3/12/2026
EarthquakeNPP: A Benchmark for Earthquake Forecasting with Neural Point Processes
Benchmark dataset for evaluating neural point processes on earthquake forecasting, comparing against classical ETAS models.
3/12/2026
Losing dimensions: Geometric memorization in generative diffusion
Research on how diffusion models memorize training data, measuring latent dimensionality collapse on low-dimensional manifolds as data becomes scarce.
3/12/2026
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications
Statistical framework for pairwise comparison modeling that relaxes stochastic transitivity assumptions used in Bradley-Terry and Thurstone models.
3/12/2026
Are Deep Speech Denoising Models Robust to Adversarial Noise?
Study examining adversarial robustness of deep speech denoising models, showing four DNS models vulnerable to psychoacoustically hidden adversarial noise attacks.
3/12/2026
Rethinking Few-Shot Image Fusion: Granular Ball Priors Enable General-Purpose Deep Fusion
Image fusion method using granular ball priors for few-shot learning without direct supervision signals.
3/12/2026
Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent Demand
Offline reinforcement learning approach for joint pricing and inventory optimization with censored demand data.
3/12/2026
Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems
Diffusion-based feedback control framework for managing probability density in nonlinear dynamical systems.
3/12/2026
Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents
Spiking neural networks with adaptive task-switching for resource-constrained multi-task reinforcement learning in autonomous agents.
3/12/2026
LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models
Data-driven survey identifying 14,648 papers on LLM limitations from 2022-2025 using LLM-based classification.
3/12/2026
Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments
System using multiple pre-trained models and consistency-based reasoning to handle distributional shifts in novel environments.
3/12/2026
Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
Interleaved online fine-tuning method enabling LLMs to acquire capabilities beyond base model through reinforcement learning.
3/12/2026
Differential Privacy in Machine Learning: A Survey from Symbolic AI to LLMs
Survey of differential privacy techniques from symbolic AI through LLMs, covering definitions and applications.
3/12/2026
The Yokai Learning Environment: Tracking Beliefs Over Space and Time
Yokai: benchmark environment for zero-shot coordination in cooperative AI with belief tracking over space and time.
3/12/2026
Tensor Train Completion from Fiberwise Observations Along a Single Mode
Tensor completion algorithm using low-rank assumptions for recovering multi-way data tensors from partial observations.
3/12/2026
Zero-Shot Transferable Solution Method for Parametric Optimal Control Problems
Neural function encoder method for solving parametric optimal control problems with zero-shot transfer across objectives.
3/12/2026
Empirical PAC-Bayes Bounds for Markov Chains
Theoretical PAC-Bayes bounds for Markov chains with empirical constants that don't require unknown data properties.
3/12/2026
Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
Empirical study analyzing intra-modality and inter-modality dependencies in multi-modal learning benchmark datasets.
3/12/2026
RADAR: Reasoning-Ability and Difficulty-Aware Routing for Reasoning LLMs
RADAR: dynamic routing system that selects optimal reasoning LLM models based on task difficulty and cost-performance tradeoffs.
3/12/2026
Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion
Neuroscience study using diffusion models and mutual information to analyze visual cortex neural populations.
3/12/2026
A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
Self-supervised learning evaluation for sleep staging with wearable EEG devices.
3/12/2026
KV Cache Transform Coding for Compact Storage in LLM Inference
KVTC: transform coder that compresses KV caches for efficient LLM inference storage and memory management.
3/12/2026
Resource Allocation in Hybrid Radio-Optical IoT Networks using GNN with Multi-task Learning
GNN with multi-task learning for resource allocation in hybrid IoT networks combining optical and RF communication.
3/12/2026
CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents
CostNav benchmark evaluating physical AI agents on real-world economic metrics for autonomous delivery systems beyond task success.
3/12/2026
Cross-embodied Co-design for Dexterous Hands
Co-design framework jointly optimizing robot hand morphology and dexterous control policies across multiple embodiments.
3/12/2026
A scalable and real-time neural decoder for topological quantum codes
Neural network decoder (AlphaQubit 2) for quantum error correction enabling fast and scalable decoding of topological quantum codes.
3/12/2026
Toward Closed-loop Molecular Discovery via Language Model, Property Alignment and Strategic Search
Closed-loop drug discovery system using language models, property alignment, and strategic search for de novo ligand design.
3/12/2026
PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations
Proprioceptive-Privileged contrastive learning framework for sample-efficient whole-body control in humanoid robots using reinforcement learning.
3/12/2026
Data relativistic uncertainty framework for low-illumination anime scenery image enhancement
Low-illumination enhancement for anime scenery images using uncertainty framework and unpaired dataset.
3/12/2026
Gradient Dynamics of Attention: How Cross-Entropy Sculpts Bayesian Manifolds
First-order analysis of how cross-entropy training reshapes transformer attention geometry for probabilistic reasoning.
3/12/2026
Error Analysis of Bayesian Inverse Problems with Generative Priors
Error analysis of Bayesian inverse problems using generative models as priors with quantitative bounds.
3/12/2026
Singular Bayesian Neural Networks
Singular Bayesian neural networks using low-rank factorization to reduce parameters from O(mn) while maintaining uncertainty calibration.
3/12/2026
Emergence of Distortions in High-Dimensional Guided Diffusion Models
Theoretical characterization of generative distortion phenomenon where classifier-free guidance causes loss of diversity in diffusion model outputs.
3/12/2026
Universality of General Spiked Tensor Models
Theoretical analysis of asymmetric rank-one spiked tensor models in high-dimensional regime with non-Gaussian noise.
3/12/2026
GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture
GOT-JEPA: Object tracking system using joint-embedding predictive architecture with model adaptation and occlusion handling.
3/12/2026
ZACH-ViT: Regime-Dependent Inductive Bias in Compact Vision Transformers for Medical Imaging
ZACH-ViT: Compact vision transformer removing positional embeddings for medical imaging where spatial layout is weakly informative.
3/12/2026
Conformal Tradeoffs: Operational Profiles Beyond Coverage
Conformal prediction analysis examining operational tradeoffs beyond coverage for deployed ML systems.
3/12/2026
Benchmarking Graph Neural Networks in Solving Hard Constraint Satisfaction Problems
Benchmarking study comparing graph neural networks against classical heuristics on hard constraint satisfaction problems.
3/12/2026
Many AI Analysts, One Dataset: Navigating the Agentic Data Science Multiverse
Autonomous AI analysts built on LLMs analyzing same dataset independently, quantifying variability in research conclusions without human coordination.
3/12/2026
How Large Language Models Get Stuck: Early structure with persistent errors
Study of how LLMs develop early syntactic structures that persist as errors through training, using OPT model on BabyLM dataset.
3/12/2026
CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework
CARE: Evidence-grounded agentic framework using visual language models for medical reasoning with explainability and clinical accountability.
3/12/2026
CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance
CFG-Ctrl: Control-based framework reinterpreting classifier-free guidance as control signal for diffusion models.
3/12/2026
RACAS: Controlling Diverse Robots With a Single Agentic System
RACAS: Framework for controlling diverse robotic platforms with a single agentic system through unified interface.
3/12/2026
The Coordination Gap: Alternation Metrics for Temporal Dynamics in Multi-Agent Battle of the Exes
Multi-agent game theory study analyzing coordination dynamics in Battle of the Exes variant using temporal metrics.
3/12/2026
A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification
Systematic comparison of training objectives (cross-entropy, prototype, triplet, AP loss) for out-of-distribution detection in image classification models.