Ax Liam Welsh, Udit Grover, Sebastian Jaimungal 3/13/2026

Multi-Agent Reinforcement Learning for Greenhouse Gas Offset Credit Markets

Applies multi-agent reinforcement learning to greenhouse gas offset credit markets for emissions control and carbon project trading simulation.

Ax Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos 3/13/2026

Weighted Random Dot Product Graphs

Extends Random Dot Product Graph model to accommodate weighted graphs with heterogeneous edge distributions for network analysis.

Ax Aida Kostikova, Zhipin Wang, Deidamea Bajri, Ole P\"utz, Benjamin Paa{\ss}en, Steffen Eger 3/13/2026

LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models

Data-driven survey identifying 14,648 papers on LLM limitations from 2022-2025 using automated classification and expert validation across 250,000 academic papers.

Ax Tom Danino, Nahum Shimkin 3/13/2026

Enhancing Sample Efficiency in Multi-Agent RL with Uncertainty Quantification and Selective Exploration

Novel algorithm for multi-agent reinforcement learning using uncertainty quantification and selective exploration to improve sample efficiency in joint action spaces.

Ax Nadav Kunievsky, James A. Evans 3/13/2026

Measuring Intent Comprehension in LLMs

Research paper on measuring whether LLMs comprehend user intent beyond surface-level text patterns, addressing training-inference gaps in language models.

Ax Peibo Li, Shuang Ao, Hao Xue, Yang Song, Maarten de Rijke, Johan Barth\'elemy, Tomasz Bednarz, Flora D. Salim 3/13/2026

Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation

Reinforcement fine-tuning approach for LLMs applied to point-of-interest recommendation with improved semantic indexing.

Ax Luke Rivard, Sun Sun, Hongyu Guo, Wenhu Chen, Yuntian Deng 3/13/2026

NeuralOS: Towards Simulating Operating Systems via Neural Generative Models

Neural framework simulating OS GUIs by predicting screen frames from user inputs using RNN and diffusion models.

Ax Orion Weller, Kathryn Ricci, Marc Marone, Antoine Chaffin, Dawn Lawrie, Benjamin Van Durme 3/13/2026

Seq vs Seq: An Open Suite of Paired Encoders and Decoders

Open benchmark suite comparing paired encoder and decoder architectures for NLP tasks with controlled parameter counts.

Ax Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli 3/13/2026

Efficient Compositional Multi-tasking for On-device Large Language Models

Adapter parameters for efficient multi-task LLM inference on-device via task merging for compositional learning.

Ax Sayan Nag, K J Joseph, Koustava Goswami, Vlad I Morariu, Balaji Vasan Srinivasan 3/13/2026

Agentic Design Review System

Agentic Design Review System orchestrates multiple AI agents to collaboratively analyze graphic designs with meta-agent coordination.

Ax Orion Weller, Michael Boratko, Iftekhar Naim, Jinhyuk Lee 3/13/2026

On the Theoretical Limitations of Embedding-Based Retrieval

arXiv paper analyzes theoretical limitations of embedding-based retrieval for diverse tasks including reasoning and code generation.

Ax Lea Kunkel 3/13/2026

Distribution estimation via Flow Matching with Lipschitz guarantees

arXiv paper provides theoretical analysis of Flow Matching generative modeling with Lipschitz-bounded statistical guarantees.

Ax Haoyang Zheng, Xinyang Liu, Cindy Xiangrui Kong, Nan Jiang, Zheyuan Hu, Weijian Luo, Wei Deng, Guang Lin 3/13/2026

Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct

DiDi-Instruct trains fast few-step language generation via distillation from discrete diffusion LLMs while maintaining quality.

Ax Sattwik Basu, Chaitanya Amballa, Zhongweiyang Xu, Jorge Van\v{c}o Sampedro, Srihari Nelakuditi, Romit Roy Choudhury 3/13/2026

Contrastive Diffusion Guidance for Spatial Inverse Problems

arXiv paper applies contrastive diffusion guidance to inverse problems with partially specified non-smooth operators like floorplan reconstruction.

Ax Ran Canetti, Ephraim Linder, Connor Wagaman 3/13/2026

Refereed Learning

arXiv paper initiates theoretical analysis of learning with access to two competing provers for evaluating opaque model properties.

Ax Christian Maurer, Snehal Jauhri, Sophie Lueth, Georgia Chalvatzaki 3/13/2026

UniFField: A Generalizable Unified Neural Feature Field for Visual, Semantic, and Spatial Uncertainties in Any Scene

arXiv paper proposes UniFField neural feature field for visual, semantic and spatial uncertainty understanding in 3D robotic scenes.

Ax Henrique Assump\c{c}\~ao, Diego Ferreira, Leandro Campos, Fabricio Murai 3/13/2026

CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization

CodeEvolve open-source framework combines LLMs with evolutionary algorithms to synthesize optimized algorithmic solutions guided by execution feedback.

Ax Atsuyuki Miyai, Mashiro Toyooka, Takashi Otonari, Zaiying Zhao, Kiyoharu Aizawa 3/13/2026

Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper

Jr. AI Scientist is an autonomous research system that mimics novice researcher workflows, conducting autonomous exploration and including risk analysis.

Ax Roman Naeem, David Hagerman, Jennifer Alv\'en, Fredrik Kahl 3/13/2026

RefTr: Recurrent Refinement of Confluent Trajectories for 3D Vascular Tree Centerlines

arXiv paper presents RefTr, a 3D image-to-graph framework for accurate vascular centerline extraction in medical imaging.

Ax Daniel Mittermaier, Tobias Bohne, Martin Hofer, Daniel Racek 3/13/2026

Forests of Uncertaint(r)ees: Using tree-based ensembles to estimate probability distributions of future conflict

arXiv paper develops tree-based ensemble methods to estimate probability distributions for violent conflict predictions with uncertainty quantification.

Ax Valentine Olanubi (University of Alabama, Department of Mathematics), Phineas Agar (University of Alabama, Department of Mathematics), Brendan Ames (University of Southampton, School of Mathematical Sciences) 3/13/2026

Provably Finding a Hidden Dense Submatrix among Many Planted Dense Submatrices via Convex Programming

arXiv paper on convex programming algorithms for densest submatrix problems in combinatorial optimization.

Ax Andr\'es Carofilis, Sergio Burdisso, Esa\'u Villatoro-Tello, Shashi Kumar, Kadri Hacioglu, Srikanth Madikeri, Pradeep Rangappa, Manjunath K E, Petr Motlicek, Shankar Venkatesan, Andreas Stolcke 3/13/2026

Text-only adaptation in LLM-based ASR through text denoising

Novel text-only adaptation method for LLM-based ASR systems using text denoising to preserve speech-text alignment without fine-tuning disruption.

Ax Zelai Xu, Zhexuan Xu, Ruize Zhang, Chunyang Zhu, Shi Yu, Weilin Liu, Quanlu Zhang, Wenbo Ding, Chao Yu, Yu Wang 3/13/2026

WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning

Multi-agent reinforcement learning system for width-scaled information seeking, exploring complementary depth scaling in LLM deployment.

Ax Xinwu Ye, Yicheng Mao, Jia Zhang, Yimeng Liu, Li Hao, Fang Wu, Zhiwei Li, Yuxuan Liao, Zehong Wang, Zhiyuan Liu, Zhenfei Yin, Li Yuan, Philip Torr, Huan Sun, Xiangxiang Zeng, Mengdi Wang, Le Cong, Shenghua Gao, Xiangru Tang 3/13/2026

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning

LatentChem: Latent reasoning interface for chemical LLMs, decoupling chemical reasoning from text tokens for improved efficiency.

Ax Markus Gross, Hans-Martin Rieser 3/13/2026

Kernel-based optimization of measurement operators for quantum reservoir computers

Kernel-based optimization for measurement operators in quantum reservoir computers using kernel ridge regression.

Ax Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin 3/13/2026

GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture

Joint-embedding predictive architecture for generic object tracking with model adaptation and occlusion handling.

Ax Kwanghee Choi, Eunjung Yeo, Cheol Jun Cho, David Harwath, David R. Mortensen 3/13/2026

[b]=[d]-[t]+[p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic

Study of phonological vector arithmetic in self-supervised speech models across 96 languages, analyzing representation structure.

Ax Jan Pauls, Karsten Schr\"odter, Sven Ligensa, Martin Schwartz, Berkant Turan, Max Zimmer, Sassan Saatchi, Sebastian Pokutta, Philippe Ciais, Fabian Gieseke 3/13/2026

ECHOSAT: Estimating Canopy Height Over Space And Time

Vision transformer model for estimating global forest canopy height from satellite data for climate monitoring. Computer vision, not core AI/ML research.

Ax Rafael R. Baptista, Andr\'e de Lima Salgado, Ricardo V. Godoy, Marcelo Becker, Thiago Boaventura, Gustavo J. G. Lahr 3/13/2026

Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction

Evaluation of small language models for role classification in human-robot interaction with zero-shot and one-shot adaptation.

Ax Brandon Yee, Lucas Wang, Kundana Kommini, Krishna Sharma 3/13/2026

Geodesic Semantic Search: Learning Local Riemannian Metrics for Citation Graph Retrieval

Retrieval system learning node-specific Riemannian metrics on citation graphs for geometry-aware semantic search.

Ax Fr\'ed\'eric Berdoz, Leonardo Rugli, Roger Wattenhofer 3/13/2026

Can AI Agents Agree?

Systematic evaluation of LLM-based AI agents in Byzantine consensus games, testing agreement behavior in adversarial settings.

Ax Fr\'ed\'eric Berdoz, Yann Billeter, Yann Vonlanthen, Roger Wattenhofer 3/13/2026

Reasoning Boosts Opinion Alignment in LLMs

Study of reasoning techniques in LLMs for political opinion modeling and alignment with individual preferences.

Ax Siddharth Boppana, Annabel Ma, Max Loeffler, Raphael Sarfati, Eric Bigelow, Atticus Geiger, Owen Lewis, Jack Merullo 3/13/2026

Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought

Analysis of chain-of-thought reasoning in LLMs, comparing activation probing and early stopping across DeepSeek-R1 and GPT-OSS models.

Ax Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo 3/13/2026

Semantics-Aware Caching for Concept Learning

Caching optimization for concept learning in description logic knowledge bases using supervised learning.

Ax Vinzenz Thoma, Georgios Piliouras, Luke Marris 3/13/2026

Deep Incentive Design with Differentiable Equilibrium Blocks

Differentiable equilibrium blocks for multi-agent incentive design in game theory and economics applications.

Ax Yuzhi Liu, Duo Zhang, Anyang Peng, Weinan E, Linfeng Zhang, Han Wang 3/13/2026

Scaling Machine Learning Interatomic Potentials with Mixtures of Experts

Mixture-of-Experts architectures for machine learning interatomic potentials with analysis of routing strategies and sparse activation.

Ax Roberto Tacconelli 3/13/2026

Micro-Diffusion Compression - Binary Tree Tweedie Denoising for Online Probability Estimation

Lossless compression system using micro-diffusion denoising for probability estimation in statistical models. Tangentially related to ML.

Ax Yuling Jiao, Yanming Lai, Huazhen Lin, Wensen Ma, Houduo Qi, Defeng Sun 3/13/2026

Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought

Research into theoretical mechanisms of LLM phenomena: semantic prompt comprehension, in-context learning, and chain-of-thought reasoning.

Ax Yannis Karmim (ALMAnaCH), Renato Pino (UCHILE), Hernan Contreras (UCHILE), Hernan Lira (CENIA), Sebastian Cifuentes (CENIA), Simon Escoffier (PUC), Luis Mart\'i (ALMAnaCH), Djam\'e Seddah (ALMAnaCH), Valentin Barri\`ere (UCHILE, CENIA) 3/13/2026

Leveraging Wikidata for Geographically Informed Sociocultural Bias Dataset Creation: Application to Latin America

Dataset creation using Wikidata to detect sociocultural biases in LLMs, focusing on Latin American languages and cultures.

HN i7l 3/13/2026

Western AI models "fail spectacularly" in farms and forests abroad

AI models trained on Western data fail to recognize local crops and forests; scientist adapted approach using local data collection for African agriculture mapping.

HN cdrnsf 3/13/2026

AI Killed My Job: Educators

Generative AI has disrupted education sector; widespread ChatGPT adoption in classrooms created plagiarism crises affecting teachers and education workers.

HN antics 3/13/2026

Lies I was told about collaborative editing, Part 2: Why we don't use Yjs

Analysis of collaborative text editing algorithms and why Yjs library is inappropriate for offline editing due to silent conflict resolution behavior.

HN irtizahammad 3/13/2026

I built a game where you guess the AI prompt behind images

Game where players guess the AI prompt behind generated images; includes PvP mode where players race to match prompts in two minutes.

HN krishnamzg 3/13/2026

Show HN: The Common Infrastructure for Agentic Communication

Cyris is orchestration platform for coordinating AI agents across OpenAI, Anthropic, Ollama and enterprise systems with self-hosted auditable governance.

HN jiito 3/13/2026

Agent Skills for Interview Preparation

Cursor-compatible agent skills for coding and system design interview prep with drill workflows, prompt generation, and interactive practice modules.

HN donutshop 3/13/2026

Management in the Age of AI

Guide for managers in 2026 on leading teams using AI; emphasizes managers must understand AI tools to set expectations and guide team execution.

HN ngrislain 3/13/2026

Don't Vibe – Prove

AI code generation has evolved from prompt-and-pray to engineering discipline with verification harnesses, test suites, and autonomous agent execution for hours.

HN alymaknojiya 3/13/2026

I built the Vy replacement that launches March 26th, the day Vy shuts down

News stub: Developer launched Vy replacement launching March 26th on shutdown day.

HN Lvcid 3/12/2026

Auto-Browser – An MCP-native browser agent with human takeover

Auto-Browser: Open-source MCP-native browser agent with human-in-the-loop control. Provides authorized workflow automation with Claude and other LLM integrations.

HN healsdata 3/12/2026

Silicon Valley Abuzz About Adding AI Compute to Engineer Compensation

Business article on AI inference compute becoming component of tech employee compensation packages alongside salary, bonus, and equity.