4/13/2026
Mechanisms of Introspective Awareness
Investigates mechanisms of introspective awareness in LLMs, where models detect injected steering vectors with minimal false positives.
4/13/2026
Boosted Distributional Reinforcement Learning: Analysis and Healthcare Applications
Analyzes distributional reinforcement learning with applications to healthcare, moving beyond expectation-based objectives for uncertain domains.
4/13/2026
Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling
Proposes hierarchical SVG tokenization approach for improved scalable vector graphics modeling with LLMs via geometric-aware token design.
4/13/2026
ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads
ALTO system for adaptive hyperparameter tuning and orchestration of LoRA fine-tuning jobs across heterogeneous multi-tenant environments.
4/13/2026
Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise
Proposes CMRM, a framework for improving classification under label noise without privileged knowledge, using quantile-calibrated regularization.
4/13/2026
BLEG: LLM Functions as Powerful fMRI Graph-Enhancer for Brain Network Analysis
Combines LLMs with Graph Neural Networks to enhance fMRI brain network analysis by leveraging LLM representations.
4/13/2026
Constraining Sequential Model Editing with Editing Anchor Compression
Method for constraining sequential editing of LLMs to prevent knowledge degradation using editing anchor compression.
4/13/2026
Gen-n-Val: Agentic Image Data Generation and Validation
Agentic system for generating and validating synthetic image data to address data scarcity and label noise in vision tasks.
4/13/2026
Bayesian Social Deduction with Graph-Informed Language Models
Evaluates LLM reasoning capabilities in social deduction game Avalon using Bayesian inference with graph-informed models.
4/13/2026
Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
arXiv paper on Bayesian ego-graph inference for decentralized multi-agent reinforcement learning with constrained communication.
4/13/2026
Interactive Program Synthesis for Modeling Collaborative Physical Activities from Narrated Demonstrations
arXiv paper on interactive program synthesis for collaborative physical task modeling from narrated demonstrations.
4/13/2026
RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation
RESample: Data augmentation framework for Vision-Language-Action models in robotic manipulation, addressing limited distribution in demonstration datasets.
4/13/2026
Generative View Stitching
Generative View Stitching: Method enabling camera-guided video generation with bidirectional conditioning to prevent collision with generated scenes.
4/13/2026
Another BRIXEL in the Wall: Towards Cheaper Dense Features
BRIXEL: Approach to reduce computational cost of dense feature maps from vision foundation models like DINOv3 while maintaining performance.
4/13/2026
Differentially Private and Federated Structure Learning in Bayesian Networks
Fed-Sparse-BNSL: Federated method for learning Bayesian network structures with differential privacy, addressing decentralized data challenges.
4/13/2026
See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models
AV-SpeakerBench: Benchmark evaluating multimodal LLMs on fine-grained audiovisual speech understanding with 3,212 multiple-choice questions.
4/13/2026
Multi-agent Adaptive Mechanism Design
DRAM: Framework combining mechanism design and online learning for sequential multi-agent settings to ensure truthful reporting with cost-optimality.
4/13/2026
Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers
Measurement-Consistent Langevin Corrector: Method stabilizing latent diffusion models for inverse problems by reducing discrepancy with learned reverse diffusion.
4/13/2026
ConvoLearn: A Learning Sciences Grounded Dataset for Fine-Tuning Dialogic AI Tutors
ConvoLearn: Dataset of 2,134 tutor-student dialogues for fine-tuning LLM-based AI tutors, grounded in dialogic learning theory and Earth Science curriculum.
4/13/2026
Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution
Tiled Prompts: Method addressing prompt misguidance in text-conditioned diffusion models for image and video super-resolution by handling localized details.
4/13/2026
PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence
PACED: LLM distillation method that weights training problems by student competence using gradient signal-to-noise ratio to improve distillation efficiency.
4/13/2026
CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention
Framework addressing causal confusion in end-to-end autonomous driving models through causal intervention during training to improve reliability and safety.
4/13/2026
Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers
Methodology for detecting prompt injection across multi-agent LLM pipelines. Stage-level kill-chain tracking for attack resilience evaluation.
4/13/2026
HaloProbe: Bayesian Detection and Mitigation of Object Hallucinations in Vision-Language Models
Detection and mitigation of object hallucinations in vision-language models. Bayesian approach analyzing attention weights and token confounders.
4/13/2026
Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting
3D Gaussian splatting for weather prediction downscaling. Proposes scale-aware vision transformer for arbitrary-resolution atmospheric forecasting.
4/13/2026
OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation
Training-free semantic segmentation using vision-language models. Global context-aware framework for dense prediction without additional training.
4/12/2026
Adventures in Slop: Can an AI Agent Generate Web Traffic?
Experiment using Claude to autonomously build a website designed to generate traffic, exploring AI agent capabilities and decision-making in open-ended tasks.
4/12/2026
Show HN: Rekal – Long-term memory for LLMs in a single SQLite file
MCP server enabling long-term memory for LLMs using SQLite, hybrid search (BM25+vectors), and local embeddings without API keys.
4/12/2026
TokenMonopoly – Claude Max Is Overpriced; Compare AI Subscriptions
Live leaderboard comparing AI model subscriptions and API pricing across 27 benchmarked models from Claude, GPT, Gemini, DeepSeek, and others.
4/12/2026
Been building a multi-agent framework in public for 5 weeks, its been a Journey
Multi-agent framework with persistent memory across sessions where agents collaborate on shared codebases and retain conversation context.
4/12/2026
Fun with an indecisive AI coding agent
Case study documenting indecisiveness in AI coding agent using Claude Opus 4.6 when debugging non-trivial bugs in GoAWK.
4/12/2026
Show HN: walnut – Error tracking AI agents
Error tracking tool designed specifically for AI agents with CLI interface, compatible with Sentry SDK for existing setups.
4/12/2026
I built autonomous AI with memory and sleep, and it had nightmares
30-day experiment running autonomous AI system with memory and sleep cycles, documenting emergent behaviors and their implications.
4/12/2026
Show HN: Redactify – macOS/iOS app to redact sensitive data before using LLMs
macOS/iOS app automatically redacting sensitive personal, financial data, faces, and metadata before sharing documents with Claude and ChatGPT.
4/12/2026
Springdrift: An Auditable Persistent Runtime for LLM Agents
arXiv paper on Springdrift framework providing auditable persistent runtime environment for LLM agents.
4/12/2026
The Three Enterprise Layers Are Collapsing into One
Enterprise architecture analysis on three-layer collapse in business process automation systems, discussing MCP servers and small LLM deployment.
4/12/2026
What Claude Code's Source Revealed About AI Engineering Culture
Analysis of exposed Claude Code source revealing engineering practices: 259 PRs, 497 commits, 40K lines in 30 days, examining AI-assisted development culture.
4/12/2026
Show HN: Posse – A Web UI for Claude Managed Agents
Posse is a web UI for Anthropic's Managed Agents, providing browser-based interface for agent creation, sessions, and memory management.
4/12/2026
Show HN: Stork – MCP server so Claude/Cursor can search 14k MCP servers AI tools
Stork.AI is a directory of 14k MCP servers and AI tools with community trust scores, offering a meta-MCP server for discovering integrations within Claude, Cursor, and other IDEs.
4/12/2026
Self-evolving daemon that 'dreams' about your codebase at night for AI agents
Entroly is a context compression engine that reduces LLM API costs by 80% for Claude, Cursor, and OpenAI by compressing codebase context without losing visibility.
4/12/2026
Distributed AI Agents
Research on using distributed AI agents with independent context windows to improve reasoning on complex multi-perspective questions.
4/12/2026
Show HN: NeonD – open-source DX-oriented Postgres Control Plane
NeonD is an open-source Postgres control plane based on NeonDB architecture with branching and PITR support.
4/12/2026
AI Is Like TV
Opinion piece comparing AI adoption to TV, discussing shift to AI-assisted programming and loss of challenging side projects.
4/12/2026
Core views on AI safety (March 2023)
Anthropic's 2023 statement on AI safety risks and impact, discussing concerns about powerful AI development in coming decade.
4/12/2026
Show HN: Buildermark – See how much code is by your agents (open source, local)
Buildermark open-source tool measures code generation by AI agents vs human developers by matching agent conversations to git commits.
4/12/2026
The race to train AI robots
Article on training AI robots to understand physical movement through human trainers in India and global industrial settings.
4/12/2026
I built a tool that checks if AI recommends your brand when buyers ask questions
Tool testing brand visibility across ChatGPT, Gemini, Claude, and other LLMs when users ask buying questions, with competitive analysis.
4/12/2026
Show HN: The AI agent that can improve itself
GrimmBot: Autonomous AI agent in sandboxed Docker with desktop/browser control, self-improvement capability, and tool building.
4/12/2026
1-bit inference of 0.8M param GPT running inside 8192 bytes of sram
1-bit quantized GPT with 800K parameters runs inference in 8KB of SRAM, demonstrating extreme model compression.
4/12/2026
Show HN:Lumisift – improves data retention in RAG from ~40% to 87%
Lumisift: Open-source tool improving data retention in RAG pipelines from 40% to 87% by fixing retrieval accuracy for scientific documents.