3/24/2026
Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal
Meta-transfer learning with temporal graph networks for real estate valuation across cities with limited data.
3/24/2026
Learning Hidden Physics and System Parameters with Deep Operator Networks
Deep operator networks for discovering hidden physics laws and system parameters from sparse observations without retraining.
3/24/2026
Effectiveness of Distributed Gradient Descent with Local Steps for Overparameterized Models
Analyzes Local-SGD/FedAvg convergence for overparameterized models in distributed training with local update steps.
3/24/2026
The Cost of Replicability in Active Learning
Investigates sample complexity cost of achieving replicable active learning algorithms across independent runs.
3/24/2026
Automatic Construction of Pattern Classifiers Capable of Continuous Incremental Learning and Unlearning Tasks Based on Compact-Sized Probabilistic Neural Network
Probabilistic neural network with incremental learning and unlearning capabilities using automatic construction without hyperparameter tuning.
3/24/2026
C-HDNet: Hyperdimensional Computing for Causal Effect Estimation from Observational Data Under Network Interference
Hyperdimensional computing approach for causal effect estimation from observational data with network confounding and interference.
3/24/2026
RLHF in an SFT Way: From Optimal Solution to Reward-Weighted Alignment
Simplifies RLHF for LLM alignment by reformulating as supervised learning, reducing complexity and computational cost of PPO/GRPO methods.
3/24/2026
Herglotz-NET: Implicit Neural Representation of Spherical Data with Harmonic Positional Encoding
Implicit neural representation method for spherical data using harmonic positional encoding to handle curved domain geometry.
3/24/2026
TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
Multi-modal time series prediction framework combining prototype encoders with three LLMs for improved accuracy and explainability.
3/24/2026
Adaptive Insurance Reserving with CVaR-Constrained Reinforcement Learning under Macroeconomic Regimes
Applies reinforcement learning to insurance loss reserving under macroeconomic constraints using CVaR and PPO optimization.
3/24/2026
AlphaZero-Edu: Democratizing Access to AlphaZero
Educational implementation of AlphaZero reinforcement learning framework addressing complexity and reproducibility challenges for broader accessibility.
3/24/2026
An evolutionary perspective on modes of learning in Transformers
Analyzes Transformers through evolutionary biology lens, examining in-weight learning vs in-context learning as complementary inference strategies.
3/24/2026
Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning
Compares uniform loss vs specialized optimizers in multi-task learning, examining whether equal weighting can match task-specific optimization with proper hyperparameters.
3/24/2026
SSR: Speculative Parallel Scaling Reasoning in Test-time
SSR: Training-free framework for parallel decoding in LLMs, improving efficiency of test-time scaling reasoning.
3/24/2026
FRIREN: Beyond Trajectories -- A Spectral Lens on Time
FRIREN: Spectral method for long-term time-series forecasting using Wasserstein distance on geometric structure.
3/24/2026
Exemplar-Free Continual Learning for State Space Models
Exemplar-free continual learning approach for State Space Models addressing catastrophic forgetting.
3/24/2026
Learning to Reason without External Rewards
Intuitor: LLM reasoning method using internal confidence signals for RL without external rewards or labeled data.
3/24/2026
Generalized Incremental Learning under Concept Drift across Evolving Data Streams
Framework for continual learning on data streams with concept drift and evolving label spaces.
3/24/2026
A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model
Denoising diffusion model for predicting wildfire spread using generative AI.
3/24/2026
Graph Structure Learning with Privacy Guarantees for Open Graph Data
Privacy-preserving graph structure learning with differential privacy guarantees for open datasets.
3/24/2026
On Arbitrary Predictions from Equally Valid Models
Empirical analysis of predictive multiplicity in ML models, examining conflicting predictions across equally valid models.
3/24/2026
TIC-GRPO: Provable and Efficient Optimization for Reinforcement Learning from Human Feedback
TIC-GRPO: Theoretical analysis and improvements to Group Relative Policy Optimization for LLM fine-tuning via RLHF.
3/24/2026
Agnostics: Learning to Code in Any Programming Language via Reinforcement with a Universal Learning Environment
Agnostics: Language-agnostic RL framework for LLMs to learn code generation across low-resource programming languages.
3/24/2026
Learning from Similarity-Confidence and Confidence-Difference
Weakly supervised learning method combining similarity-confidence and confidence-difference for incomplete labels.
3/24/2026
Deep Neural Networks with General Activations: Super-Convergence in Sobolev Norms
Approximation results for deep neural networks with general activations in Sobolev spaces.
3/24/2026
Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to $Q$-Learning
Parameter-free optimal convergence rates for nonlinear semi-norm contractions with Q-learning applications.
3/24/2026
From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
Method using LLMs to generate interpretable explanations for Graph Neural Networks on text-attributed graphs.
3/24/2026
Tight Bounds for Schr\"odinger Potential Estimation in Unpaired Data Translation
Bounds for Schrödinger potential estimation in generative modeling and unpaired data translation.
3/24/2026
SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms
Analysis of how event log characteristics impact process mining algorithm performance.
3/24/2026
Masked Diffusion Models as Energy Minimization
Theoretical framework interpreting masked diffusion models as solutions to discrete optimal transport energy minimization problems.
3/24/2026
HDC-X: Efficient Medical Data Classification for Embedded Devices
HDC-X framework for energy-efficient medical data classification on embedded devices using high-dimensional computing.
3/24/2026
Show HN: AgentDrive – Persistent file storage for AI agents
AgentDrive provides persistent file storage API for AI agents without setup requirements, solving the problem of ephemeral file storage in agent sandboxes and VM environments.
3/24/2026
Show HN: ContextSpectre – Reasoning hygiene layer for Claude Code sessions
ContextSpectre is a tool for managing Claude Code session context, helping developers review token usage, identify cleanable content, and reduce context bloat during long agent conversations.
3/24/2026
Jensen Huang: Nvidia the $4T Company and the AI Revolution – Lex Fridman Podcast [video]
Podcast interview with Nvidia CEO on company valuation and AI trends.
3/24/2026
Mitata: Benchmark tooling that loves you
Mitata is a JavaScript benchmark tool with garbage collection support for runtimes like Bun and Node.js.
3/24/2026
Sunsetting the Techempower Framework Benchmarks
TechEmpower announces discontinuation of its long-running web framework performance benchmarks project.
3/24/2026
Epoch confirms GPT5.4 Pro solved a Frontier Math Open Problem for the first time
Database/tracking page describing AI systems metrics and organizational data without specific findings.
3/24/2026
Don't tell the AI it's an expert programmer
Research finding that persona-based prompting instructions like 'You're an expert' may not improve LLM performance.
3/24/2026
I Created My First AI-Assisted Pull Request and I Feel Like a Fraud
Developer reflects on contributing to open-source Chroma project using Claude AI, questioning learning and value.
3/24/2026
Improving Vector Search for Jobs with Semantic Gating
Semantic gating approach for filtered vector search in job search using pgvector, handles mixed semantic and hard constraints.
3/24/2026
A collection of my Projects, including my Open Source VitaFPGA Architecture
Portfolio page for VitaOS-Libre operating system and VitaFPGA architecture projects, no content loaded.
3/24/2026
Snow CLI,Agentic coding in your terminal
Snow CLI: Terminal tool enabling agentic coding compatible with OpenAI, Gemini, and Claude APIs.
3/24/2026
LLM Neuroanatomy II: Modern LLM Hacking and Hints of a Universal Language?
Research on LLM internal structure discovery using layer duplication experiments on open models like Qwen2-72B.
3/24/2026
Overview of AppFunctions – agentic interfaces for apps
Overview of AppFunctions framework enabling agentic interfaces for application integration.
3/24/2026
RIP infinite money glitch via LLM generated music
Brief post on changes to LLM-generated music monetization loophole.
3/24/2026
This AI Supercomputer was 30 years too early [video]
Video about early AI supercomputer hardware history.
3/24/2026
LLM Can Be a Supercompiler
Case study using LLM to optimize legacy Java code performance through refactoring suggestions.
3/24/2026
Anonymize / de-identify LLM chat history export, post-processing
Forum post seeking tools for post-processing LLM chat history anonymization and PII removal.
3/24/2026
5-shot in-context examples are enough to blind your LLM
Study showing that few in-context examples can negatively impact LLM reasoning and accuracy.
3/24/2026
Show HN: AI agents can speak now (MCP server)
Open-source MCP server implementation enabling voice capabilities for AI agents.