4/2/2026
Show HN: Osint of I-80 for EV site selection. Finding 10MW spots
Appears to be spam/corrupted content about Airtable and EV site selection with mixed advertising elements.
4/2/2026
WebGPU Bench
WebGPU benchmarking tool with minimal description.
4/2/2026
WebGPU in WASM via Emscripten (Or Dawn)
Emscripten system library enabling WebGPU access from C/C++ code compiled to WebAssembly.
4/2/2026
Show HN: Agentmatic, AI marketing platform that generates full campaigns for you
Agentmatic is an AI agent platform that generates full marketing campaigns from prompts with persistent brand memory across sessions.
4/2/2026
Show HN: Memsearch – Persistent, cross-agent, cross-session memory for AI agents
Memsearch provides persistent cross-session semantic memory for AI coding agents with zero-configuration plugin installation.
4/2/2026
Ask HN: How are you choosing the model when using pi.dev?
Ask HN: Users share experiences selecting LLM models for agentic software development lifecycle with specific use cases.
4/2/2026
Show HN: SideX – VS Code rebuilt on Tauri instead of Electron (96% smaller)
SideX: Tauri-based VS Code port replacing Electron with native backend, 96% smaller with early-stage open source development.
4/2/2026
Making Sense of AI Agents Hype: Adoption, Architectures, and Takeaways from Practitioners
Analysis of 138 practitioner conference talks examining how companies adopt AI agent architectures, architectural patterns, and LLM-driven agentic system implementation.
4/2/2026
Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation
arXiv paper: Diversity-aware RKL divergence improves LLM distillation by focusing on dominant modes in teacher-student training.
4/2/2026
MAC-Attention: a Match-Amend-Complete Scheme for Fast and Accurate Attention Computation
MAC-Attention: acceleration technique for long-context LLM decoding by reusing prior attention computations for semantically similar tokens without compression.
4/2/2026
REM-CTX: Automated Peer Review via Reinforcement Learning with Auxiliary Context
REM-CTX: RL-based peer review system using 8B LLM with Group Relative Policy Optimization, incorporating visual figures and scholarly context.
4/2/2026
Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards
Apprenticeship learning approach for inducing pedagogical policies from imperfect, evolving student demonstrations in e-learning environments.
4/2/2026
LLM Essay Scoring Under Holistic and Analytic Rubrics: Prompt Effects and Bias
Systematic evaluation of LLMs for educational essay scoring across holistic and analytic rubrics, analyzing human alignment and bias.
4/2/2026
Benchmarking Interaction, Beyond Policy: a Reproducible Benchmark for Collaborative Instance Object Navigation
QAsk-Nav benchmark for evaluating embodied agents combining navigation and dialogue-based question-asking for collaborative object finding tasks.
4/2/2026
Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics
Energy-based models framework for physical system identification with formal stability guarantees, applying to Port-Hamiltonian dynamics.
4/2/2026
The Geometry of Compromise: Unlocking Generative Capabilities via Controllable Modality Alignment
Research on reducing modality gap in Vision-Language Models like CLIP through geometric analysis to improve cross-modal tasks like captioning and clustering.
4/2/2026
VeriAct: Beyond Verifiability -- Agentic Synthesis of Correct and Complete Formal Specifications
VeriAct: agentic system for synthesizing correct and complete formal specifications using LLMs beyond just verifier-passing output.
4/2/2026
SANA I2I: A Text Free Flow Matching Framework for Paired Image to Image Translation with a Case Study in Fetal MRI Artifact Reduction
SANA-I2I: text-free flow matching framework for paired image-to-image translation with application to fetal MRI artifact reduction.
4/2/2026
Asymmetric Actor-Critic for Multi-turn LLM Agents
Asymmetric Actor-Critic method for improving reliability of multi-turn LLM agents in one-shot settings without requiring model retraining.
4/2/2026
Robust Multimodal Safety via Conditional Decoding
CASA: conditional decoding strategy for robust multimodal safety in MLLMs against cross-modal attacks.
4/2/2026
Prompt-Guided Prefiltering for VLM Image Compression
Prompt-guided image compression for Vision-Language Models optimized for downstream VLM tasks rather than human perception.
4/2/2026
The Persistent Vulnerability of Aligned AI Systems
Research on vulnerabilities in aligned AI agents with filesystem and email access; introduces ACDC for automated circuit discovery in transformers.
4/2/2026
RAGShield: Provenance-Verified Defense-in-Depth Against Knowledge Base Poisoning in Government Retrieval-Augmented Generation Systems
RAGShield: five-layer defense against knowledge base poisoning attacks in RAG systems deployed across federal agencies.
4/2/2026
EvolveTool-Bench: Evaluating the Quality of LLM-Generated Tool Libraries as Software Artifacts
EvolveTool-Bench: diagnostic benchmark for evaluating quality of LLM-generated tool libraries as software artifacts in engineering workflows.
4/2/2026
Deep Networks Favor Simple Data
Research on out-of-distribution anomaly where deep models assign higher density to simple OOD data than in-distribution test data.
4/2/2026
Improving Generalization of Deep Learning for Brain Metastases Segmentation Across Institutions
Domain adaptation framework for brain metastases segmentation across multiple medical institutions with different imaging protocols.
4/2/2026
COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving
Transfer learning approach for trajectory prediction in autonomous driving handling domain shift across different regional driving patterns.
4/2/2026
Learning Humanoid Navigation from Human Data
System enabling humanoid robot navigation in unseen environments using diffusion models trained on 5 hours of human walking video without robot data.
4/2/2026
G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs
Privacy attack method using gradient-induced feature drift to infer membership in LLM training data without relying on output probabilities.
4/2/2026
Polysemanticity or Polysemy? Lexical Identity Confounds Superposition Metrics
Analysis of neuron polysemy in neural networks, decomposing superposition metrics to separate lexical overlap from concept compression.
4/2/2026
First Logit Boosting: Visual Grounding Method to Mitigate Object Hallucination in Large Vision-Language Models
Method to mitigate object hallucination in Vision-Language Models through visual grounding using logit boosting without retraining.
4/2/2026
Not My Truce: Personality Differences in AI-Mediated Workplace Negotiation
Study examining how personality traits moderate effectiveness of AI-driven conversational coaching in workplace negotiation scenarios.
4/2/2026
Executing as You Generate: Hiding Execution Latency in LLM Code Generation
Technique to reduce LLM code generation latency by executing code incrementally as tokens are generated, eliminating idle waiting periods.
4/2/2026
A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation
Vision-Language foundation model for chest X-ray interpretation providing explicit reasoning about visual evidence and diagnostic predictions.
4/2/2026
Towards Initialization-dependent and Non-vacuous Generalization Bounds for Overparameterized Shallow Neural Networks
Theoretical analysis of generalization bounds for overparameterized neural networks using distance from initialization as an explanatory factor.
4/2/2026
MOON3.0: Reasoning-aware Multimodal Representation Learning for E-commerce Product Understanding
Multimodal LLM approach for e-commerce product understanding that captures fine-grained attributes through reasoning-aware representation learning.
4/2/2026
MAESIL: Masked Autoencoder for Enhanced Self-supervised Medical Image Learning
Self-supervised learning framework using masked autoencoders for 3D medical imaging, addressing domain shift from natural image pretraining.
4/2/2026
Toward Optimal Sampling Rate Selection and Unbiased Classification for Precise Animal Activity Recognition
Deep learning approach for animal activity recognition from wearable sensors, optimizing sampling rates and addressing class-specific classification accuracy.
4/2/2026
Think, Act, Build: An Agentic Framework with Vision Language Models for Zero-Shot 3D Visual Grounding
Agentic framework combining Vision-Language Models with iterative reasoning for zero-shot 3D visual grounding from natural language descriptions.
4/2/2026
Optimsyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation
Method for optimizing rubrics used in synthetic data generation for LLM fine-tuning, leveraging influence-guided selection in knowledge-intensive domains.
4/2/2026
MATHENA: Mamba-based Architectural Tooth Hierarchical Estimator and Holistic Evaluation Network for Anatomy
Mamba-based neural network for dental diagnosis from X-rays, unifying tooth detection, caries segmentation, anomaly detection, and developmental staging.
4/2/2026
HabitatAgent: An End-to-End Multi-Agent System for Housing Consultation
Multi-agent LLM system for housing consultation decisions, combining reasoning, constraint handling, and factuality guarantees beyond simple ranking.
4/2/2026
UniMixer: A Unified Architecture for Scaling Laws in Recommendation Systems
Unified neural architecture framework studying scaling laws across attention-based, TokenMixer, and factorization-machine recommendation systems.
4/2/2026
Streaming Model Cascades for Semantic SQL
Method using model cascades to optimize LLM inference costs in semantic SQL queries by routing rows through fast/expensive models based on confidence.
4/2/2026
Internal APIs Are All You Need: Shadow APIs, Shared Discovery, and the Case Against Browser-First Agent Architectures
Research on autonomous web agents navigating browser-based websites by leveraging internal APIs instead of DOM inspection, addressing architectural mismatches in agent design.
4/2/2026
Learning to Hint for Reinforcement Learning
Reinforcement learning technique adding hints to overcome advantage collapse in group relative policy optimization.
4/2/2026
AutoEG: Exploiting Known Third-Party Vulnerabilities in Black-Box Web Applications
Black-box security tool for detecting exploitable third-party vulnerabilities in web applications.
4/2/2026
To Memorize or to Retrieve: Scaling Laws for RAG-Considerate Pretraining
Study of tradeoffs between parametric knowledge in LLM pretraining and non-parametric knowledge from retrieval.
4/2/2026
GRASP: Gradient Realignment via Active Shared Perception for Multi-Agent Collaborative Optimization
Multi-agent optimization framework addressing non-stationarity through active shared perception of agent policies.
4/2/2026
A CEFR-Inspired Classification Framework with Fuzzy C-Means To Automate Assessment of Programming Skills in Scratch
Educational framework for assessing Scratch programming skills using fuzzy clustering aligned with CEFR levels.