Ax Yuxuan Li, Harshith Reddy Kethireddy, Srijita Das 3/19/2026

Evaluating Feature Dependent Noise in Preference-based Reinforcement Learning

Evaluates feature-dependent noise in preference-based reinforcement learning with realistic noise patterns correlated to observations.

Ax Zhengyang Zhao, Lu Ma, Yizhen Jiang, Xiaochen Ma, Zimo Meng, Chengyu Shen, Lexiang Tang, Haoze Sun, Peng Pei, Wentao Zhang 3/19/2026

GIFT: Reconciling Post-Training Objectives via Finite-Temperature Gibbs Initialization

Proposes GIFT method reconciling SFT and RL post-training for Large Reasoning Models via Gibbs initialization to prevent distributional collapse.

Ax Ming Li 3/19/2026

Global Optimization By Gradient From Hierarchical Score-Matching Spaces

Solves constrained optimization problems via gradient-based methods using hierarchical score-matching spaces to overcome local optima.

Ax Wei Chen, Xingyu Guo, Shuang Li, Zhao Zhang, Yan Zhong, Fuzhen Zhuang, Deqing wang 3/19/2026

Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation

Proposes neural characteristic function approach for graph domain adaptation addressing distributional shifts without manual feature design.

Ax Jialin Yu, Mo\"ise Blanchard 3/19/2026

Distribution-Free Sequential Prediction with Abstentions

Studies sequential prediction with option to abstain in semi-adversarial settings mixing adversarial and stochastic instances.

Ax Danning Jing, Xinhai Chen, Xifeng Pu, Jie Hu, Chao Huang, Xuguang Chen, Qinglin Wang, Jie Liu 3/19/2026

A Deep Surrogate Model for Robust and Generalizable Long-Term Blast Wave Prediction

Creates deep surrogate model for blast wave prediction that generalizes to out-of-distribution urban scenarios using machine learning.

Ax Nazal Mohamed, Ayush Mohanty, Nagi Gebraeel 3/19/2026

Federated Causal Representation Learning in State-Space Systems for Decentralized Counterfactual Reasoning

Develops federated causal representation learning for decentralized counterfactual reasoning across coupled industrial systems while preserving data privacy.

Ax Harry Amad, Mihaela van der Schaar 3/19/2026

Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport

Proposes Hyperparameter Trajectory Inference to adjust neural network hyperparameters post-deployment without full retraining using optimal transport.

Ax Huihan Liu, Changyeon Kim, Bo Liu, Minghuan Liu, Yuke Zhu 3/19/2026

Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning

Studies how pretrained Vision-Language-Action models resist catastrophic forgetting during continual learning in robot policy training.

Ax Hengshuai Yao, Xing Chen, Ahmed Murtadha, Guan Wang 3/19/2026

Thin Keys, Full Values: Reducing KV Cache via Low-Dimensional Attention Selection

Reduces transformer KV cache by using low-dimensional keys for attention selection while maintaining high-dimensional values, achieving O(log N) dimensional compression.

Ax Fengxiang Nie, Yasuhiro Suzuki 3/19/2026

JAWS: Enhancing Long-term Rollout of Neural PDE Solvers via Spatially-Adaptive Jacobian Regularization

JAWS improves neural PDE solvers' long-term rollouts using spatially-adaptive Jacobian regularization to prevent spectral blow-up and unphysical divergence.

Ax Jialei Tan, Zheng Lin, Xiangming Cai, Ruoxi Zhu, Zihan Fang, Pingping Chen, Wei Ni 3/19/2026

Exploiting Adaptive Channel Pruning for Communication-Efficient Split Learning

Adaptive channel pruning technique reduces communication overhead in split learning by selectively transmitting intermediate feature representations.

Ax Teng Xiao, Yige Yuan, Hamish Ivison, Huaisheng Zhu, Faeze Brahman, Nathan Lambert, Pradeep Dasigi, Noah A. Smith, Hannaneh Hajishirzi 3/19/2026

Meta-Reinforcement Learning with Self-Reflection for Agentic Search

MR-Search proposes meta-reinforcement learning with self-reflection for agentic search, enabling agents to adapt strategies across episodes and improve in-context exploration.

Ax Barth\'el\'emy Dang-Nhu, Louis Annabi, Sylvain Argentieri 3/19/2026

Disentangled Representation Learning through Unsupervised Symmetry Group Discovery

Method for embodied agents to autonomously discover symmetry group structure for disentangled representation learning without requiring prior knowledge of group properties.

Ax Jingpu Cheng, Qianxiao Li, Ting Lin, Zuowei Shen 3/19/2026

Deep learning and the rate of approximation by flows

Theoretical investigation of deep residual networks' approximation capacity in continuous dynamical systems, quantifying minimal time-horizons for diffeomorphism approximation.

Ax Hao Wu, Yongheng Zhang, Yuan Gao, Fan Xu, Fan Zhang, Ruobing Xie, Ruijian Gou, Yuxuan Liang, Xiaomeng Huang, Xian Wu 3/19/2026

OMNIFLOW: A Physics-Grounded Multimodal Agent for Generalized Scientific Reasoning

OMNIFLOW is a multimodal agent combining LLMs with physics-grounded reasoning for scientific tasks involving PDEs, addressing hallucinations through cross-domain generalization.

Ax Dibakar Sigdel, Namuna Panday 3/19/2026

PhasorFlow: A Python Library for Unit Circle Based Computing

PhasorFlow: open-source Python library for computing on unit circle using complex phasors and unitary wave interference gates.

Ax Zhikai Li, Xiaoxuan Liu, Banghua Zhu, Zhen Dong, Qingyi Gu, Kurt Keutzer 3/19/2026

QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources

QFT: quantization-based approach for full-parameter fine-tuning of large language models with limited computational resources.

Ax Quyu Kong, Yixuan Zhang, Yang Liu, Panrong Tong, Enqi Liu, Feng Zhou 3/19/2026

Byte-token Enhanced Language Models for Temporal Point Processes Analysis

Byte-token enhanced language models for temporal point processes analysis to model event sequences with temporal dynamics and textual descriptions.

Ax Neeraj Gangwar, Suma P Bhat, Nickvash Kani 3/19/2026

Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models

Method for improving mathematical reasoning in smaller LLMs by integrating arithmetic learning with knowledge distillation and data augmentation.

Ax Jing Liu, Yao Du, Kun Yang, Jiaqi Wu, Yan Wang, Xiping Hu, Zehua Wang, Yang Liu, Peng Sun, Azzedine Boukerche, Victor C. M. Leung 3/19/2026

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

Survey of edge-cloud collaborative computing paradigms for distributed AI deployment, covering model optimization and LLM inference strategies.

Ax Hung Pham, Aiden Ren, Ibrahim Tahir, Jiatai Tong, Thiago Serra 3/19/2026

Optimization over Trained (and Sparse) Neural Networks: A Surrogate within a Surrogate

Framework for constraint learning using pruned neural networks as tractable surrogates in optimization problems.

Ax Santiago Acevedo, Andrea Mascaretti, Riccardo Rende, Mat\'eo Mahaut, Marco Baroni, Alessandro Laio 3/19/2026

A quantitative analysis of semantic information in deep representations of text and images

Information Imbalance metric for analyzing semantic information alignment in deep representations across text and image models.

Ax Mathew J. Koretsky, Maya Willey, Owen Bianchi, Chelsea X. Alvarado, Tanay Nayak, Nicole Kuznetsov, Sungwon Kim, Mike A. Nalls, Daniel Khashabi, Faraz Faghri 3/19/2026

BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases

BiomedSQL benchmark for evaluating text-to-SQL systems on biomedical knowledge bases requiring implicit domain reasoning and scientific understanding.

Ax Andrei Paleyes, Radzim Sendyka, Diana Robinson, Christian Cabrera, Neil D. Lawrence 3/19/2026

Code Roulette: How Prompt Variability Affects LLM Code Generation

Study on how prompt variability affects LLM code generation quality and functionality across different user backgrounds and expertise levels.

Ax Peng Ding 3/19/2026

ToolRegistry: A Protocol-Agnostic Tool Management Library for Function-Calling LLMs

ToolRegistry: protocol-agnostic tool management library for function-calling LLMs, addressing fragmentation in tool integration.

Ax Nil Ayday, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar 3/19/2026

Exact Generalisation Error Exposes Benchmarks Skew Graph Neural Networks Success (or Failure)

Analysis of GNN generalization error to explain performance variance and benchmark skew in graph neural networks.

Ax Gautam Sreekumar, Vishnu Naresh Boddeti 3/19/2026

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning

Benchmark study showing large multimodal models fail at inductive physical reasoning beyond training distribution.

Ax Tianyu Chen, Yasi Zhang, Zhi Zhang, Peiyu Yu, Shu Wang, Zhendong Wang, Kevin Lin, Xiaofei Wang, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Jianwen Xie, Oscar Leong, Lijuan Wang, Ying Nian Wu, Mingyuan Zhou 3/19/2026

EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing

EdiVal-Agent framework for automated, fine-grained evaluation of multi-turn image editing using object-centric assessment.

Ax Yongding Tao, Tian Wang, Yihong Dong, Huanyu Liu, Kechi Zhang, Xiaolong Hu, Ge Li 3/19/2026

Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models

Detection methods for data contamination in RL post-training phase of LLMs, addressing evaluation validity gap.

Ax Lizhi Yang, Blake Werner, Massimiliano de Sa, Aaron D. Ames 3/19/2026

CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions

CBF-RL integrates Control Barrier Functions into RL training to enforce safety constraints during policy learning.

Ax Dailan He, Guanlin Feng, Xingtong Ge, Yazhe Niu, Yi Zhang, Bingqi Ma, Guanglu Song, Yu Liu, Hongsheng Li 3/19/2026

Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models

Neighbor GRPO extends Group Relative Policy Optimization to flow matching models with contrastive ODE-based approach for generative model alignment.

Ax Syed Naveed Mahmood, Md. Rezaur Rahman Bhuiyan, Tasfia Zaman, Jareen Tasneem Khondaker, Md. Sameer Sakib, K. M. Shadman Wadith, Nazia Tasnim, Farig Sadeque 3/19/2026

Representation-Aware Unlearning via Activation Signatures: From Suppression to Knowledge-Signature Erasure

Knowledge Immunization Framework for selective knowledge erasure from LLMs via representation-aware activation signatures, addressing GDPR and safety.

Ax Ethan Rathbun, Wo Wei Lin, Alina Oprea, Christopher Amato 3/19/2026

Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning

Study demonstrating reward-free backdoor attacks on RL agents through compromised simulators.

Ax Qiuming Luo, Yuebing Li, Feng Li, Chang Kong 3/19/2026

PAND: Prompt-Aware Neighborhood Distillation for Lightweight Fine-Grained Visual Classification

Knowledge distillation framework for fine-grained visual classification using vision-language models with prompt-aware calibration.

Ax Minghan Wang, Ye Bai, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari 3/19/2026

GTS: Inference-Time Scaling of Latent Reasoning with a Learnable Gaussian Thought Sampler

Learnable Gaussian sampling method for inference-time scaling in latent reasoning models to improve reasoning path generation.

Ax Shaily Roy, Harshit Sharma, Daniel A. Adler, Tanzeem Choudhury, Asif Salekin 3/19/2026

Ethical Fairness without Demographics in Human-Centered AI

Method for achieving fairness in AI systems without demographic attributes for human-centered applications.

Ax Zhaoyuan Gu, Yipu Chen, Zimeng Chai, Alfred Cueva, Thong Nguyen, Yifan Wu, Huishu Xue, Minji Kim, Isaac Legene, Fukang Liu, Matthew Kim, Ayan Barula, Yongxin Chen, Ye Zhao 3/19/2026

REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning

Method for fine-tuning diffusion policies with reinforcement learning for humanoid robot loco-manipulation tasks.

Ax Surendra Pathak, Bo Han 3/19/2026

ASAP: Attention-Shift-Aware Pruning for Efficient LVLM Inference

Pruning method for efficient large vision-language model inference by exploiting attention patterns and addressing token redundancy.

Ax Aliyu Agboola Alege 3/19/2026

I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic Reasoning

Framework for aggregating noisy heterogeneous evidence in probabilistic reasoning tasks with explicit uncertainty quantification.

Ax Aliyu Agboola Alege 3/19/2026

Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning

Theoretical framework for aggregating multiple evidence sources in probabilistic prediction with formal guarantees for multi-evidence reasoning.

HN zachdev1 3/19/2026

k8s multi tenancy: its a cluster f*ck

Kubernetes multi-tenancy challenges with AI agents requiring ephemeral environments. Infrastructure scaling issues.

LB blackhc.net via nextos 3/19/2026

The Flawed Ephemeral Software Hypothesis

Analysis arguing software won't become disposable despite AI coding agents, critiquing concepts like 'vibe coding' and ephemeral apps.

HN djinn 3/19/2026

South Korea's SDT opens Quantum-AI data center

South Korea's SDT opens first commercial quantum-AI hybrid data center in Seoul with 20-qubit Kreo quantum computer and Nvidia DGX B200 integration.

HN samzliu 3/19/2026

Scheduled: Open-Source Calendly, but AI

Scheduled: Open-source AI agent integrated with Gmail that autonomously reads meeting request emails, checks calendar availability, and drafts proposed times.

HN WillNigri 3/19/2026

Show HN: ATO – a GUI to see and fix what your LLM agents configured

ATO: GUI control panel managing multiple LLM agents (Claude Code, Codex, OpenClaw, Hermes) with workflow orchestration and MCP integration.

HN CGMthrowaway 3/19/2026

AI pilot program in LA County courts will help judges craft rulings

LA County courts pilot AI tool (Learned Hand) to summarize legal motions and draft rulings based on judge writing styles.

HN Gshaheen 3/19/2026

The Agentic Organization

Conceptual framework on how AI agents transform organizational structure and decision-making beyond efficiency gains.

HN mitch292 3/19/2026

I Handed Off Maintenance of My Chrome Extension to AI

Case study: developer maintaining open-source Chrome extension with AI assistance for bug fixes and feature development.

BL 3/19/2026

OpenAI to acquire Astral

OpenAI acquires Astral, integrating open source Python developer tools (uv, Ruff) into Codex ecosystem to enhance Python development tooling.