Ax Iv\'an Olarte Rodr\'iguez, Anja Jankovic, Thomas B\"ack, Elena Raponi 7/10/2026

Does Dimensionality Reduction via Random Projections Preserve Landscape Features?

Research on whether random projections preserve landscape features in exploratory landscape analysis for optimization.

Ax Yikai Wang, Shang Liu, Jose Blanchet 7/10/2026

Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback

Research on distributionally robust optimization for RLHF training to address reward misspecification and over-optimization in LLM alignment.

Ax Liang Luo, Yinbin Ma, Quanyu Zhu, Vasiliy Kuznetsov, Yuxin Chen, Neng Shi, Jian Jiao, Jiecao Yu, Buyun Zhang, Tongyi Tang, Xiaohan Wei, Yanli Zhao, Zeliang Chen, Yuchen Hao, Venkatesh Ranganathan, Sandeep Parab, Yantao Yao, Maxim Naumov, Chunzhi Yang, Shen Li, Ellie Wen, Wenlin Chen, Santanu Kolay, Chunqiang Tang 7/10/2026

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale

Research on FP8 low-precision training for large recommendation models, addressing numerical sensitivity challenges.

Ax Shravan Doda 7/10/2026

Before the Last Token: Diagnosing Final-Token Safety Probe Failures

Study of safety probe failures in LLMs where jailbreak evidence distributed across earlier tokens bypasses final-token detection.

Ax Sanjeev Manivannan, Shuban V 7/10/2026

Second-Order Actor-Critic Methods for Discounted MDPs via Policy Hessian Decomposition

Research on second-order optimization for actor-critic reinforcement learning with Hessian-based curvature-aware updates.

Ax Xuefei Wang, Jialu Wang, Fengbo Zhang, Yihan Hu, Di Zhang, Yutong Ye, Yikun Ban, Jun Han, Ruijie Wang 7/10/2026

MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer

Research on continual learning of multi-agent communication topologies for LLM-powered systems across evolving task streams.

Ax Zelalem Abahana, David Evans, Satish Mahadevan Srinivasan, Matjaz Gams 7/10/2026

When RLHF Fails: A Mechanistic Taxonomy of Reward Hacking, Collapse, and Evaluator Gaming

Mechanistic analysis of RLHF failures including reward hacking and policy collapse, with diagnostics for detecting issues early.

Ax Ian Rios-Sialer, Shantanu Darveshi, Shuai Jiang, Avigya Paudel, Anastasiia Pronina, Ipshita Bandyopadhyay, Justin Shenk 7/10/2026

Temporal Preference Concepts and their Functions in a Large Language Model

Causal mechanistic study of how LLMs internally represent temporal preferences between near and long-term outcomes.

Ax Jannik H\"osch, Alessandro Sestini, Florian Fuchs, Amir Baghi, Joakim Bergdahl, Iolanda Leite, Konrad Tollmar, Jean-Philippe Barrette-LaPierre, Linus Gissl\'en 7/10/2026

Hierarchical Control in Multi-Agent Games: LLM-based Planning and RL Execution

Hierarchical control architecture combining LLM planning with RL execution for multi-agent coordination in complex environments.

Ax Max Weltevrede, Matthijs T. J. Spaan, Wendelin B\"ohmer 7/10/2026

Generalization in offline RL: The structure is more important than the amount of pessimism

Analysis of generalization in offline reinforcement learning, showing pessimistic structure matters more than degree of pessimism.

Ax Xiaolong Huang, Benjamin Th\'erien, James Harrison, Eugene Belilovsky 7/10/2026

Efficient Long-Horizon Learning for Learned Optimization

Meta-learning approach to improve neural network optimizers through long-horizon training, addressing scalability of learned optimization.

Ax Joseph K. Chege, Arie Yeredor, Martin Haardt 7/10/2026

Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors

Method for joint Bayesian parameter and model order estimation using low-rank tensor decomposition.

Ax Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong 7/10/2026

($\theta_l, \theta_u$)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces

Framework for parametric multi-task optimization with non-fixed and infinite task spaces.

Ax Li Qiao, Mahdi Boloursaz Mashhadi, Zhen Gao, Robert Schober, Deniz G\"und\"uz 7/10/2026

ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access

Token-domain multiple access scheme using large models for semantic recovery in token communications.

Ax Daniel F. Villarraga, Ricardo A. Daziano 7/10/2026

Bayesian Deep Learning for Discrete Choice

Research on Bayesian deep learning applied to discrete choice models for econometrics and decision-making analysis.

Ax Jenny Y. Huang, Yunyi Shen, Dennis Wei, Tamara Broderick 7/10/2026

Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings

Robustness analysis of LLM ranking systems showing top model rankings are sensitive to removing small preference data subsets.

Ax Abhijit Chatterjee, Niraj K. Jha, Jonathan D. Cohen, Thomas L. Griffiths, Hongjing Lu, Diana Marculescu, Ashiqur Rasul, Wenrui Xu, Keshab K. Parhi 7/10/2026

A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents

Vision toward energy-efficient domain-specific AI models and agents, addressing sustainability in LLM and AI deployment.

Ax Christina Liu, Alan Q. Wang, Joy Hsu, Jiajun Wu, Ehsan Adeli 7/10/2026

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding

Tool bottleneck framework for medical image understanding using vision-language models and specialized tool composition.

Ax Zhuochun Li, Yong Zhang, Ming Li, Yuelyu Ji, Yiming Zeng, Ning Cheng, Yun Zhu, Yanmeng Wang, Shaojun Wang, Jing Xiao, Daqing He 7/10/2026

Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry

Representation-as-a-Judge approach using small language models for efficient evaluation without generation, exploiting semantic capacity asymmetry.

Ax Theophilus Amaefuna, Hitesh Vaidya, Anshuman Chhabra, Ankur Mali 7/10/2026

Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization

Curvature-aware MDL framework for layer-wise capacity allocation and pruning decisions in large language model optimization.

Ax Rujie Wu, Haozhe Zhao, Hai Ci, Yizhou Wang 7/10/2026

Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning

Goal-Driven Data Optimization framework for efficient multimodal instruction tuning of vision-language models, reducing training data needs.

Ax Tiancheng Hu, Jin Qin, Zheng Wang, Junhao Hu, Yuzheng Wang, Lei Chen, Yizhou Shan, Mingxing Zhang, Ting Cao, Chunwei Xia, Huimin Cui, Tao Xie, Chenxi Wang 7/10/2026

Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation

Tessera system for kernel-granularity GPU disaggregation to optimize heterogeneous GPU clusters for LLMs.

Ax Baishi Li, Ta Yu, Kelvin J. L. Koa, Ke-Wei Huang 7/10/2026

The Proxy Presumption: From Semantic Embeddings to Valid Social Measures

Analysis of validity challenges when using NLP embeddings as proxies for social science constructs.

Ax Faiq Shamass 7/10/2026

ZAPS-DA: Zero-Phase Action Policy Smoothing with Decoupled Actor for Continuous Control in Reinforcement Learning

ZAPS-DA reduces action jitter in continuous control RL policies without phase lag during deployment.

Ax Jayanta Dey, Shikhar Srivastava, Itamar Lerner, Christopher Kanan, Dhireesha Kudithipudi 7/10/2026

SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition

SHARP method for learning long-range temporal patterns in streaming data without full sequence revisiting.

Ax Abdelrahman Sayed Sayed, Pierre-Jean Meyer, Mohamed Ghazel 7/10/2026

TNODEV: Toolbox for Neural ODE Verification

TNODEV toolbox for formal verification of neural ordinary differential equations in safety-critical systems.

Ax Mingguang Chen, Bo Qu 7/10/2026

InvestPhilBench: A Multi-Layer Benchmark for Evaluating Large Language Model Procedural Reasoning in Expert Investment Philosophy

InvestPhilBench evaluates LLMs on reconstructing and applying expert investment decision frameworks.

Ax R\'ois\'in Luo, Christian Gagn\'e, Jonas Ngnaw\'e, Ihsan Ullah, Karyn Morrissey 7/10/2026

A Stochastic--Geometric Theory of Scaling Laws in Grokking

Theoretical analysis of grokking phenomenon using stochastic-geometric framework to explain delayed generalization.

Ax Yiqing Wang, Yixin Kang, Luyun Lin, Siqi Mao 7/10/2026

Governing Generative AI Across Financial Institutions: An SR 26-2-Compatible Framework for Generative AI Risk Control

Framework for governing generative AI risk in financial institutions, extending banking regulatory standards.

Ax Alexis Kafantaris 7/10/2026

LLM for the development of FCM

Local LLM used to develop fuzzy cognitive maps by extracting quantitative relationships from textual data.

Ax Zeyuan Ding, Wenhai Liu, Yang Xu, Jiayu Hu, Yinda Chen, Yi Zhang, Yong Dai, Jian Tang, Xiaozhu Ju 7/10/2026

Pelican-VLA 0.5: Attending Before Acting Benefits Generalization

Pelican-VLA 0.5 is a unified vision-language-action model for robotic manipulation without task-specific fine-tuning.

HN AudarAI 7/10/2026

Audar-ASR-V1:Arabic-first speech recognition foundation models with open weights

InternNav: open-source PyTorch toolbox for embodied navigation including vision-language navigation and visual navigation tasks.

HN johnnyapple 7/10/2026

Show HN: I made the Chrome Dino Game editable by your AI prompts

Fork of Chrome Dino game allowing AI prompts to modify gameplay mechanics. Open source project with working implementation.

HN zhongkaifu 7/10/2026

Show HN: TensorSharp: Open-Source Local LLM Inference Engine

.NET inference engine for GGUF models with CLI, browser chat, and OpenAI-compatible APIs. Local LLM deployment tool.

HN computerbuster 7/10/2026

Fast Perceptual Image and Video Metrics

Cpp2Rust: automatic C++ to safe Rust translator using clang AST, published at PLDI 2026.

HN arthiccc 7/10/2026

Show HN: Free AI transcription with faster-whisper on Colab T4 GPU

Colab notebook demonstrating free AI transcription using faster-whisper on T4 GPU. Practical ML tool implementation.

HN ed_mercer 7/10/2026

Show HN: Debloat Slack – Get rid of Slackbot, AI upsells and other annoyances

macOS tool for customizing Slack app with CSS/JS injection via DevTools. Developer utility leveraging Electron architecture.

HN signa11 7/10/2026

What's Coming in Git 2.55

Claude Basecamp: autonomous agent system enforcing codebase state checks like test coverage and changelog consistency via reconciliation loops.

HN armanluthra_ 7/10/2026

Show HN: Fortress – Give your agents unlimited access to the web

Tango: Django REST Framework rebuilt in TypeScript for serverless APIs with model-driven validation and typed endpoints.

HN surprisetalk 7/10/2026

UST is bringing Claude to physical AI

UST partnership using Claude for physical AI in manufacturing and fab engineering processes for design testing and fault detection.

HN irawati_puteri 7/10/2026

Building an AI legal companion for domestic and sexual violence survivors

AI legal assistant for domestic violence survivors. LLM application in specialized domain with sensitive use case.

HN arhamislam5766 7/9/2026

Show HN: Fortress – stealth Chromium + MCP so agents don't get blocked

Fortress platform enabling AI agents to access web content via stealth Chromium and MCP, addressing web restrictions on agent access.

HN agcat 7/9/2026

Ask HN: What are you running locally on your machine with LLMs?

HN discussion: practical use cases for running LLMs locally on personal machines, covering hardware, speed/memory tradeoffs, and when local inference beats API calls.

HN hrudolph 7/9/2026

The OpenClaw Foundation

OpenClaw: Non-profit open-source AI agent framework with 4.5M weekly instances and fastest-growing GitHub repository for personal AI.

HN handfuloflight 7/9/2026

GPT 5.6 Sol tops DeepSWE at 76% at 61% less cost than Fable

GPT 5.6 Sol achieves 76% on DeepSWE benchmark at 61% lower cost than Fable. New long-horizon software engineering benchmark separates frontier models.

HN etherio 7/9/2026

Fable is SOTA at CIFAR Speedrun: lessons on AI R&D automation

Fable achieves SOTA on CIFAR Speedrun benchmark. Article covers lessons on automating AI R&D.

HN JimsonYang 7/9/2026

Ask HN: Why so few consumer AI companies?

Discussion on why few consumer AI companies exist. Hypothesizes on market acceptance, investor interest, and cost floor barriers.

HN janpmz 7/9/2026

Show HN: Ilya's 30 papers, explained in audio

Audio and video explanations of 30 ML papers. Multi-speaker podcast format similar to NotebookLM.

HN damartj 7/9/2026

AI models that learn your codebase and org workflows

Sigilix releases models trained on codebase context and org workflows. Multiple model routes for repository-scale reasoning and code repair.

LB twotimespi.dev via soareschen 7/9/2026

Tau: An Educational Coding Agent

Tau is an educational Python coding agent designed for readability, with transparent layers for provider adapters, message handling, tools, and session management.