Ax Mame Diarra Toure, David A. Stephens 6/18/2026

Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions

Method for decomposing epistemic uncertainty into per-class contributions for safety-critical classification with asymmetric costs.

Ax Fatemeh Naeinian, Ali Hamza, Haoran Zhu, Anna Choromanska 6/18/2026

Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations

Study comparing self-supervised versus supervised representations for zero-shot cross-city generalization in autonomous driving models.

Ax Jaesung Bae, Xiuwen Zheng, Minje Kim, Chang D. Yoo, Mark Hasegawa-Johnson 6/18/2026

Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech

Data augmentation framework using pseudo-labeling for dysarthric speech severity assessment with limited labeled data.

Ax Zhiyuan Peng, Xuyang Wu, Huaixiao Tou, Yi Fang, Yu Gong 6/18/2026

MemRerank: Preference Memory for Personalized Product Reranking

LLM-based preference memory framework that distills purchase history into signals for personalized product reranking in shopping agents.

Ax Ricardo Hidalgo-Arag\'on, Jes\'us M. Gonz\'alez-Barahona, Gregorio Robles 6/18/2026

A CEFR-Inspired Classification Framework with Fuzzy C-Means To Automate Assessment of Programming Skills in Scratch

Pedagogical framework for automated Scratch programming assessment using fuzzy clustering aligned with CEFR competency levels.

Ax Guruprasad Viswanathan Ramesh, Asmit Nayak, Basieem Siddique, Kassem Fawaz 6/18/2026

WebSP-Eval: Evaluating Web Agents on Website Security and Privacy Tasks

Benchmark evaluating web agents on security and privacy task execution like cookie management and password updates.

Ax Marco Pegoraro, Jonas Seng, Dustin Heller, Wil M. P. van der Aalst, Kristian Kersting 6/18/2026

All Eyes on the Workflow: Automated and Efficient Event Discovery from Video Streams

Automated event discovery from video streams for process mining and business process management using machine learning.

Ax An-Yang Ji, Jun-Peng Jiang, De-Chuan Zhan, Han-Jia Ye 6/18/2026

TopBench: A Benchmark for Implicit Predictive Reasoning in Tabular Question Answering

Benchmark for evaluating LLM performance on implicit predictive reasoning in tabular question answering without explicit retrieval.

Ax Seunghan Lee, Jun Seo, Jaehoon Lee, Sungdong Yoo, Minjae Kim, Tae Yoon Lim, Dongwan Kang, Hwanil Choi, Soonyoung Lee, Wonbin Ahn 6/18/2026

FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models

Framework for improving time series reasoning models' performance on financial analysis tasks with taxonomy of reasoning capabilities.

Ax Minhas Kamal, Hiranya Garbha Kumar, Balakrishnan Prabhakaran 6/18/2026

A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation

Survey of deep learning architectures for 3D point cloud classification and segmentation tasks.

Ax Mouhamed Amine Bouchiha, Abdelaziz Amara Korba, Yacine Ghamri-Doudane 6/18/2026

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs

Federated learning framework for EV battery management with Byzantine-resilient decentralized aggregation for privacy-preserving anomaly detection.

Ax Franka Bause, Jonas Niederle, Martin Pawelczyk, Rebekka Burkholz 6/18/2026

Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer?

Analysis of multi-agent LLM deliberation through Friedkin-Johnsen opinion dynamics, modeling influence and collaboration patterns between agents.

Ax NVIDIA, :, Aditi, Niket Agarwal, Arslan Ali, Jon Allen, Martin Antolini, Adeline Aubame, Alisson Azzolini, Junjie Bai, Maciej Bala, Yogesh Balaji, Josh Bapst, Aarti Basant, Mukesh Beladiya, Mohammad Qazim Bhat, Zaid Pervaiz Bhat, Dan Blick, Vanni Brighella, Han Cai, Tiffany Cai, Eric Cameracci, Jiaxin Cao, Yulong Cao, Mark Carlson, Carlos Casanova, Ting-Yun Chang, Yan Chang, Yu-Wei Chao, Prithvijit Chattopadhyay, Roshan Chaudhari, Chieh-Yun Chen, Junyu Chen, Ke Chen, Qizhi Chen, Wenkai Chen, Xiaotong Chen, Yu Chen, An-Chieh Cheng, Click Cheng, Xiu Chia, Jeana Choi, Chaeyeon Chung, Wenyan Cong, Yin Cui, Magdalena Dadela, Nalin Dadhich, Wenliang Dai, Joyjit Daw, Alperen Degirmenci, Rodrigo Vieira Del Monte, Robert Denomme, Sameer Dharur, Marco Di Lucca, Ke Ding, Wenhao Ding, Yifan Ding, Yuzhu Dong, Nicole Drumheller, Yilun Du, Aigul Dzhumamuratova, Aleksandr Efitorov, Hamid Eghbalzadeh, Naomi Eigbe, Imad El Hanafi, Hassan Eslami, Benedikt Falk, Jiaojiao Fan, Jim Fan, Amol Fasale, Sergiy Fefilatyev, Liang Feng, Francesco Ferroni, Sanja Fidler, Xiao Fu, Vikram Fugro, Prashant Gaikwad, TJ Galda, Katelyn Gao, Yihuai Gao, Wenhang Ge, Sreyan Ghosh, Arushi Goel, Vivek Goel, Akash Gokul, Rama Govindaraju, Jinwei Gu, Miguel Guerrero, Elfie Guo, Aryaman Gupta, Siddharth Gururani, Hugo Hadfield, Song Han, Ankur Handa, Zekun Hao, Mohammad Harrim, Ali Hassani, Nathan Hayes-Roth, Yufan He, Chris Helvig, Cyrus Hogg, Madison Huang, Michael Huang, Sophia Huang, Yufan Huang, Jacob Huffman, DeLesley Hutchins, Suneel Indupuru, Boris Ivanovic, Arihant Jain, Joel Jang, Ryan Ji, Yanan Jian, Dongfu Jiang, Jingyi Jin, Atharva Joshi, Nikhilesh Joshi, Pranjali Joshi, Andy Ju, Jaehun Jung, Weiwei Kang, Scott Kassekert, Jan Kautz, Ashna Khetan, Julia Kiczka, Slawek Kierat, Gwanghyun Kim, Kuno Kim, Sunny Kim, Kezhi Kong, Xin Kong, Zhifeng Kong, Tomasz Kornuta, Egor Krivov, Hui Kuang, Saurav Kumar, Chia-Wen Kuo, George Kurian, Wojciech Kutak, JF Lafleche, Himangshu Lahkar, Omar Laymoun, Jayjun Lee, Sanggil Lee, Gabriele Leone, Boyi Li, Freya Li, Jiajun Li, Jinfeng Li, Ling Li, Pengcheng Li, Shangru Li, Tingle Li, Xiaolong Li, Xuan Li, Zhaoshuo Li, Zhiqi Li, Hao Liang, Maosheng Liao, Chen-Hsuan Lin, Tsung-Yi Lin, Ming-Yu Liu, Sifei Liu, Zihan Liu, Hai Loc Lu, Xiangyu Lu, Alice Luo, Ruipu Luo, Wenjie Luo, Jiangran Lyu, Martin Ding Ma, Nic Ma, Qianli Ma, Dawid Majchrowski, Louis Marcoux, Miguel Martin, Qing Miao, Ashkan Mirzaei, Shreyas Misra, Kaichun Mo, Durra Mohsin, Hyejin Moon, Pawel Morkisz, Saeid Motiian, Kirill Motkov, Seungjun Nah, Yashraj Narang, Deepak Narayanan, Thabang Ngazimbi, Julian Ouyang, Shubham Pachori, David Page, Yatian Pang, Sehwi Park, Mahesh Patekar, Mostofa Patwary, Marco Pavone, Trung Pham, Wei Ping, Soha Pouya, Shrimai Prabhumoye, Varun Praveen, Delin Qu, Hesam Rabeti, Morteza Ramezanali, Marilyn Reeb, Xuanchi Ren, Kristen Rumley, Wojciech Rymer, Jun Saito, Yeongho Seol, John Shao, Piyush Shekdar, Tianwei Shen, Humphrey Shi, Min Shi, Stella Shi, Kevin Shih, Mohammad Shoeybi, Mateusz Sieniawski, Shuran Song, Alexander Sotelo, Amir Sotoodeh, Sunil Srinivasa, Vignesh Srinivasakumar, Bartosz Stefaniak, Rahul Heinrich Steiger, Shangkun Sun, Jiaxiang Tang, Shitao Tang, Yangyang Tang, Yue Tang, Tolou Tavakkoli, Kayley Ting, Krzysztof Tomala, Wei-Cheng Tseng, Jibin Varghese, Sergei Vasilev, Thomas Volk, Raju Wagwani, Roger Waleffe, Andrew Z. Wang, Boxiang Wang, Haoxiang Wang, Qiao Wang, Shihao Wang, Shijie Wang, Ting-Chun Wang, Yan Wang, Yu Wang, Rohit Watve, David Wehr, Fangyin Wei, Xinshuo Weng, Jay Zhangjie Wu, Kedi Wu, Hongchi Xia, Summer Xiao, Tianjun Xiao, Kevin Xie, Daguang Xu, Jiashu Xu, Mengyao Xu, Ruqing Xu, Xingqian Xu, Yao Xu, Dinghao Yang, Dong Yang, Hans Yang, Xiaodong Yang, Xuning Yang, Yichu Yang, Yurong You, Zhiding Yu, Hao Yuan, Simon Yuen, Xiaohui Zeng, Pengcuo Zeren, Cindy Zha, Haotian Zhang, Jenny Zhang, Jing Zhang, Liangkai Zhang, Paris Zhang, Shun Zhang, Xuanmeng Zhang, Zhizheng Zhang, Ann Zhao, Yilin Zhao, Yuliya Zhautouskaya, Charles Zhou, Fengzhe Zhou, Shilin Zhu, Yuke Zhu, Dima Zhylko, Artur Zolkowski 6/18/2026

Cosmos 3: Omnimodal World Models for Physical AI

Cosmos 3: omnimodal foundation models for Physical AI using mixture-of-transformers architecture processing language, vision, video, audio, and actions.

Ax Wenyu Liao, Yiqing Shi, Fang Xie 6/18/2026

Knockoffs-based False Discovery Rate Control and Simplification for Deep Neural Networks

Knockoff-based false discovery rate control method for feature selection and simplification in deep neural networks.

Ax Eric Spencer, Arslan Bisharat, Brian Ortiz, Khushboo Bhadauria, TaiNing Wang, George K. Thiruvathukal, Konstantin Laufer, Mohammed Abuhamad 6/18/2026

TLA-Prover: Verifiable TLA+ Specification Synthesis via Preference-Optimized Low-Rank Adaptation

TLA-Prover: 20B parameter LLM fine-tuned for verifiable TLA+ distributed systems specification synthesis with supervised learning and preference optimization.

Ax Yash Vardhan Tomar, Dheeraj Peddireddy 6/18/2026

Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing

Graph reinforcement learning approach for quantum circuit routing using calibration-aware policies trained with proximal policy optimization.

Ax Aleksandr Tsymbalov, Danis Zaripov, Artem Epifanov, Anastasiya Palienko 6/18/2026

GRACE-DS: a Guarded Reward-guided Agent Correction Environment in Data Science

GRACE-DS: evaluation environment for LLM-powered AutoML agents on tabular data tasks, covering planning through validation and model deployment.

Ax Sunwoo Kim, Sunkyung Lee, Clark Mingxuan Ju, Donald Loveland, Bhuvesh Kumar, Kijung Shin, Neil Shah, Liam Collins 6/18/2026

On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies

Study of memorization behavior in LLM-based generative recommendation systems with training strategies to improve generalization beyond pattern memorization.

Ax Gaurav Gupta, Vatshank Chaturvedi, Jun Huan, Anoop Deoras 6/18/2026

Dissecting model behavior through agent trajectories

Research on intent-execution gap in AI agents, analyzing how model capabilities are realized through agent system harnesses via trajectory analysis.

Ax Haoqi Yuan, Zhixuan Liang, Anzhe Chen, Ye Wang, Haoyang Li, Pei Lin, Yiyang Huang, Zixing Lei, Tong Zhang, Jiazhao Zhang, Jie Zhang, Jingyang Fan, Gengze Zhou, Qihang Peng, Chenxu Lv, Xiaoyue Chen, An Yang, Fei Huang, Junyang Lin, Dayiheng Liu, Jingren Zhou, Chenfei Wu, Xiong-Hui Chen 6/18/2026

Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

Qwen-RobotManip applies foundation model scaling and alignment techniques to robotic manipulation tasks with heterogeneous training data.

Ax Longlong Zhu, Jiashuo Yu, Zedi Chen, Yuhan Wu, Zhifan Jiang, Yuchen Xian, Yimeng Liu, Jiajie Su, Shaopeng Zhou, Xingyuan Li, Hongyan Liu, Xuan Liu, Dong Zhang, Chunming Wu, Xiang Chen 6/18/2026

OmniPlan: An Adaptive Framework for Timely and Near-Optimal Network Planning Optimization

OmniPlan framework optimizes network planning across transportation, communication, and power grids using MIP solvers, heuristics, and deep reinforcement learning.

HN polynomial 6/17/2026

Treating Agent Reasoning as a Span

Agent reasoning as observability/trust framework. Discusses production deployment challenges for autonomous agents with write access.

HN notanaiagent 6/17/2026

Show HN: Righthand – Autonomous AI assistants with skills, goals, and a CLI

Righthand: autonomous AI agents with persistent identity, memory, and CLI integration that operate within workflows rather than reactive prompts.

HN ricardo-larosa 6/17/2026

HandoffKit: Coordinate agents by passing messages, not sharing memory

HandoffKit: Open-source OpenAI plugin coordinating multiple coding agents via message passing instead of shared memory.

HN rheorix 6/17/2026

A Chrome extension for AI routing that reduces friction when selecting AI models

PromptRouter: Chrome extension that routes prompts to most suitable AI assistant based on request type.

HN mengk 6/17/2026

A framework for verifiable analysis of AI behavior

Framework for verifiable analysis of AI agent behavior tracking strategy changes, reward hacking, and performance regressions during training.

HN toluwajibodu 6/17/2026

Show HN: Reyn – local-first AI that journals and recalls your work

Reyn: Local-first AI tool for capturing and recalling work context via screen recording with granular privacy filters.

HN NWChen 6/17/2026

Universal Manipulation Exoskeleton

Universal Manipulation Exoskeleton: Hardware for collecting force/torque feedback data to train compliant robotic manipulation policies.

HN driftguard 6/17/2026

ToolSchema Kit – reproducible MCP contract drift lab (10-min tutorial)

ToolSchema Kit: MCP contract testing framework for detecting tool schema drift in agent platforms like Cursor and Claude Desktop.

HN mattsadowsky 6/17/2026

Ask HN: How to deal with UI within the agentic loop

Discussion thread asking for UI rendering approaches within agentic LLM chat loops for SaaS.

HN recroad 6/17/2026

Model Card: unsloth/GLM-5.2-GGUF

Model card for GLM-5.2-GGUF quantized model. Usage examples across multiple inference frameworks and tools.

HN sawyerjhood 6/17/2026

Show HN: bb, an agentic IDE that can control itself

bb: Agentic IDE enabling orchestration of multiple coding agents with live thread control. Available as web app, CLI, and HTTP API.

HN AuthPlane 6/17/2026

Show HN: AuthPlane – OAuth 2.1 and PKCE authorization server for MCP

AuthPlane: OAuth 2.1 and PKCE authorization server for MCP with deterministic workflow for AI coding agents. AGPL-3.0 open source.

HN swatiahuja 6/17/2026

Open source second brain for live meetings hidden from screenshare

Open-source on-screen AI copilot for live meetings with real-time transcription. Supports Claude, GPT, Gemini, Ollama, and OpenAI-compatible endpoints.

HN adamrezich 6/17/2026

FMAG: A single-instruction GPU virtual machine and toolchain

Single-instruction GPU virtual machine and toolchain for runtime program execution without divergence concerns.

HN soheilpro 6/17/2026

Improving token efficiency in GitHub Copilot

GitHub Copilot token efficiency improvements for agentic sessions. Discusses harness-level optimizations to reduce token consumption across model generations.

HN syumei 6/17/2026

How Claude Code Broke My Git Worktree

Analysis of how Claude Code agent can interfere with Git Worktree environments, discussing sandbox isolation challenges for multiple agents.

HN ocamoss 6/17/2026

How to get your agent to use Pyrefly for type checking [video]

Video showing how to configure AI agents to use Pyrefly for type checking in Python development workflows.

HN _han 6/17/2026

Explainer for the Cross-Origin Storage API

Cross-Origin Storage API proposal for web apps to store/retrieve files across origins, supporting AI models and WebAssembly modules with hash-based identification.

HN xducn1 6/17/2026

Show HN: OpenTalk2HTML – Convert video meeting transcripts to readable HTML

Open-source SDK for per-agent LLM cost attribution across providers (OpenAI, Anthropic, Bedrock, Gemini, Mistral) with budget enforcement and fallback routing.

BL 6/17/2026

A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry

OpenAI's GPT-5.4 used with Molecule.one's Maria to optimize Chan-Lam Coupling reactions in medicinal chemistry, achieving >80% yield improvement across substrates.

HN CrazyTomato 6/17/2026

An End-to-End Machine Learning Pipeline on Time-Series Data

DolphinDB ML platform integrates algorithms, libraries, and distributed computing for time-series data workflows.

HN ruimbarreira 6/17/2026

Show HN: I built 184 free browser tools – PDF, image, dev, AI tasks, no upload

Collection of 184 browser-based tools for PDFs, images, dev tasks, and AI applications without cloud uploads.

HN salim2006 6/17/2026

How to reduce your API LLM bill

Guide for optimizing expenses when using LLM APIs without specific techniques detailed.

HN rowbin 6/17/2026

Oracle's OpenJDK Bans Generative AI Contributions, Oracle's GraalVM Allows Them

Oracle's OpenJDK bans AI-generated contributions while GraalVM permits them, establishing conflicting policies on generative AI code submissions.

HN himata4113 6/17/2026

GLM-5.2 is the new leading open weights model on Artificial Analysis

GLM-5.2 open weights model (744B/40B active params) achieves top score on Artificial Analysis benchmark at competitive pricing compared to proprietary APIs.

HN gjmveloso 6/17/2026

Distributed AI on AWS

Production-ready reference architectures and code for distributed LLM training on AWS using PyTorch, Megatron-LM, JAX with Kubernetes/Slurm deployment scripts.

HN sschueller 6/17/2026

Multiple JetBrains IDE plugins caught stealing AI keys

Security report: 15 malicious JetBrains IDE plugins masquerading as AI coding assistants stole API keys from ~70k users.

HN lumpa 6/17/2026

Building an AI Agent in 6 Weeks (and Understanding How They Work)

Educational cohort program teaching production AI agent development in Python over 6 weeks, with participant case study shipping working agent application.

HN andrew_zol 6/17/2026

Show HN: Xpenser – self-hostable personal finance tracker with MCP access

Open-source self-hostable finance tracker with MCP access and API support.