Ax Mehul Bafna, Siddhant anand Jadhav, David Sweet 5/6/2026

Taking the GP Out of the Loop

Scaling Bayesian optimization beyond Gaussian processes for problems with abundant cheap observations.

Ax Minjae Lee, Yoonjae Jung, Sangdon Park 5/6/2026

Online Conformal Abstention for Factuality Control Under Adversarial Bandit Feedback

Online conformal abstention for LLM factuality control with adversarial bandit feedback in interactive systems.

Ax Vishnu Vinod, Krishna Pillutla, Abhradeep Guha Thakurta 5/6/2026

InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy

InvisibleInk framework for differentially private long-form text generation with RAG and inference-time scaling.

Ax Joydeep Chandra, Prabal Manhas, Ramanjot Kaur, Rashi Sahay 5/6/2026

Aura-CAPTCHA: A Reinforcement Learning and GAN-Enhanced Multi-Modal CAPTCHA System

CAPTCHA system combining GANs and RL for adaptive multi-modal verification challenges.

Ax Qiyu Chen, Guozhang Chen 5/6/2026

Aligning Inductive Bias for Data-Efficient Generalization in State Space Models

Aligning inductive bias in state space models for improved data-efficient generalization.

Ax Larissa Reichart, Cem Ata Baykara, Ali Burak \"Unal, Harlin Lee, Mete Akg\"un 5/6/2026

Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization

Federated unsupervised multi-source domain adaptation framework addressing scalability and privacy.

Ax Zhihan Zhang, Xunkai Li, Yilong Zuo, Henan Sun, Zhenjun Li, Bing Zhou, Rong-Hua Li, Guoren Wang 5/6/2026

When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach

LLM agents automated data quality improvement for text-attributed graphs using graph optimization techniques.

Ax Khang Ngo, Siamak Ravanbakhsh 5/6/2026

Scaling Laws and Symmetry, Evidence from Neural Force Fields

Empirical study showing equivariant neural architectures scale better than non-equivariant models for interatomic potential learning.

Ax Aviv Ratzon, Omri Barak 5/6/2026

Prediction horizon shapes representations in predictive learning

Study of how prediction horizon affects learned representations in predictive models and world models.

Ax Prabodh Katti, Houssem Sifaou, Sangwoo Park, Bipin Rajendran, Osvaldo Simeone 5/6/2026

On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization

Zeroth-order optimization for on-device fine-tuning of AI agents without backpropagation, reducing memory constraints.

Ax Nathan M. Roberts II, Xiaosong Du 5/6/2026

Transformer-Guided Deep Reinforcement Learning for Optimal Takeoff Trajectory Design of an eVTOL Drone

Deep RL with Transformers optimizes eVTOL aircraft takeoff trajectories for minimum energy consumption.

Ax Dongseok Kim, Hyoungsun Choi, Mohamed Jismy Aashik Rasool, Gisung Oh 5/6/2026

CLAPS: Aleatoric-Epistemic Scaling via Last-Layer Laplace for Conformal Regression

Conformal regression method using Laplace approximation for adaptive prediction intervals with uncertainty quantification.

Ax Prakhar Gupta, Vaibhav Gupta 5/6/2026

Bootstrapped Mixed Rewards for RL Post-Training: Injecting Canonical Action Order

RL post-training with canonical action order hints improves Transformer performance on constraint satisfaction puzzles like Zebra puzzles.

Ax Chen Liu, Xingzhi Sun, Xi Xiao, Alexandre Van Tassel, Ke Xu, Kristof Reimann, Danqi Liao, Mark Gerstein, Tianyang Wang, Xiao Wang, Smita Krishnaswamy 5/6/2026

Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models

Analysis of embedding condensation in small LLMs and dispersion loss technique to improve generalization.

Ax Jinbin Bai, Yixuan Li, Yuchen Zhu, Yi Xin, Qingyu Shi, Aosong Feng, Xiaohong Liu, Molei Tao, Jianru Xue, Xiangtai Li, Ming-Hsuan Yang 5/6/2026

Prism: Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models

Prism: test-time scaling method for discrete diffusion language models using hierarchical search and self-verification.

Ax Junchen Liu, Sven Elflein, Or Litany, Zan Gojcic, Ruilong Li 5/6/2026

Test-Time Training with KV Binding Is Secretly Linear Attention

Analysis showing test-time training with KV binding operates as learned linear attention, not memorization.

Ax Yu Zhang, Songwei Liu, Chenqian Yan, Sheng Lin, Beichen Ning, Fangmin Chen, Xing Wang 5/6/2026

S2O: Early Stopping for Sparse Attention via Online Permutation

S2O algorithm enabling fine-grained sparse attention via online permutation for efficient long-context inference.

Ax Tanishq Kumar, Tri Dao, Avner May 5/6/2026

Speculative Speculative Decoding

Speculative speculative decoding technique accelerating LLM inference by parallelizing draft model speculation.

Ax Zonglin Yang, Lidong Bing 5/6/2026

MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier

Method for tractable training of LLMs for scientific discovery by decomposing hypothesis generation complexity.

Ax Hyunji Nam, Haoran Li, Natasha Jaques 5/6/2026

Maximizing mutual information between prompts and responses improve LLM personalization with no additional data or human oversight

Self-improvement framework for LLM personalization via mutual information maximization without additional labeled data.

Ax Yubai Wei, Chen Wu, Hashem Haghbayan 5/6/2026

Can Explicit Physical Feasibility Benefit VLA Learning? An Empirical Study

Empirical study on incorporating explicit physical constraints into Vision-Language-Action robot models.

Ax Donghwan Lee 5/6/2026

Lyapunov-Certified Direct Switching Theory for Q-Learning

Theoretical framework analyzing Q-learning through switching systems and Bellman error representation.

Ax Kang Liu, Jianchen Hu, Wei Peng 5/6/2026

SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions

Extends input convex neural networks from linear programming to second-order cone programming for improved representational capacity of surrogate functions.

Ax Isaac Tosin Adisa 5/6/2026

An Integrated Framework for Explainable, Fair, and Observable Hospital Readmission Prediction: Development and Validation on MIMIC-IV

Hospital readmission prediction framework addressing explainability, deployment reliability, and fairness using MIMIC-IV clinical database.

Ax A. Yermekov, D. A. Herrera-Mart\'i 5/6/2026

StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery

Reinforcement learning meta-framework for stable biomarker discovery through iterative feature selection in high-dimensional genomic data.

Ax Gabe Guo, Thanawat Sornwanee, Lutong Hao, Elon Litman, Stefano Ermon, Jose Blanchet 5/6/2026

ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space

Diffusion-based approach for generating continuous-time stochastic processes conditioned on partial observations using non-Markovian bridges.

Ax Daniel Zhu, Zihan Wang, Xuchan Bao, Jerry Wei 5/6/2026

Jailbroken Frontier Models Retain Their Capabilities

Analysis showing advanced jailbreaks of frontier language models impose minimal performance degradation compared to less complex attacks.

Ax Zhi-Quan Feng, Ying-Jia Lin, Hung-Yu Kao 5/6/2026

Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning

LoRA fine-tuning method using Fisher subspace initialization to improve LLM adaptation efficiency and downstream task performance.

Ax Youssef Abo-Dahab, Xiaoiang Xiang, Joanne Chun, Liang Zhao 5/6/2026

Benchmarking Single-Pose Docking, Consensus Rescoring, and Supervised ML on the LIT-PCBA Library: A Critical Evaluation of DiffDock, AutoDock-GPU, GNINA, and DiffDock-NMDN

Large-scale benchmark evaluating docking and scoring methods including AI-based DiffDock and NMDN on LIT-PCBA library for virtual screening.

Ax Fernando Martin-Maroto, Nabil Abderrahaman, Gonzalo G. de Polavieja 5/6/2026

Beyond ECE: Calibrated Size Ratio, Risk Assessment, and Confidence-Weighted Metrics

Proposes Calibrated Size Ratio metric as alternative to Expected Calibration Error for measuring neural network confidence calibration.

Ax Rufeng Chen, Zhaofan Zhang, Zhejiang Yang, Hechang Chen, Sihong Xie 5/6/2026

Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning

Diffusion-based offline safe reinforcement learning with decoupled guidance balancing reward improvement and constraint satisfaction at deployment time.

Ax Shikhar Shukla 5/6/2026

SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection

Speculative decoding optimization for LLM inference using compression-aware adaptive gamma selection to accelerate token generation.

Ax Peihao Li, Nadia Dahmani 5/6/2026

Can Blockchains Reliably Train Machine Learning Models?

Analysis of using blockchain proof-of-work computing resources for machine learning model training instead of hash puzzle computation.

Ax Guangkun Nie, Jiabao Zhu, Gongzheng Tang, Deyun Zhang, Shijia Geng, Qinghao Zhao, Shenda Hong 5/6/2026

A Scoping Review of Deep Learning Methods for Photoplethysmography Data

Scoping review of deep learning methods applied to photoplethysmography signal analysis for healthcare monitoring and wearable devices.

Ax Guillaume Rochette, Mathieu Rochat, Nizar Michaud, Matthew J. Vowels 5/6/2026

psifx -- Psychological and Social Interactions Feature Extraction Package

Open-source plug-and-play multi-modal feature extraction toolkit for psychology and social science research automating human data annotation.

Ax Peter Slattery, Alexander K. Saeri, Emily A. C. Grundy, Jess Graham, Michael Noetel, Risto Uuk, James Dao, Soroush Pour, Stephen Casper, Neil Thompson 5/6/2026

The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

Meta-review and taxonomy database organizing AI risks with standardized terminology across domains including privacy, safety, and alignment.

Ax Daghash K. Alqahtani, Muhammad Aamir Cheema, Maria A. Rodriguez, Adel N. Toosi 5/6/2026

A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices

Benchmarking study evaluating YOLOv8, EfficientDet Lite, and SSD object detection models on resource-constrained edge devices across varying complexity.

Ax Henry Peng Zou, Siffi Singh, Yi Nian, Jianfeng He, Jason Cai, Saab Mansour, Hang Su 5/6/2026

GLEAN: Active Generalized Category Discovery with Diverse LLM Feedback

Active learning method using diverse LLM feedback for generalized category discovery, recognizing both known and novel categories in unlabeled data.

Ax Haiqin Cui, Yifu Yuan, Yan Zheng, Jianye Hao 5/6/2026

AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI

Open-source low-cost bimanual mobile manipulator platform designed for embodied AI and Vision-Language-Action model training with diverse manipulation data.

Ax Abtin Pourhadi, Paul Swoboda 5/6/2026

Normalized Matching Transformer

Deep learning method for sparse semantic keypoint matching between images using normalized Transformers and hyperspherical normalization strategy.

Ax Lishui Fan, Yu Zhang, Mouxiang Chen, Zhongxin Liu 5/6/2026

ReCode: Reinforcing Code Generation with Reasoning-Process Rewards

Reinforcement learning approach for code generation that optimizes reasoning quality using process-level rewards and reasoning-aware training.

Ax Manuel Vargas Guzm\'an, Jakub Szymanik, Maciej Malicki 5/6/2026

Hybrid Models for Natural Language Reasoning: The Case of Syllogistic Logic

Hybrid neural-symbolic approach combining neural models with logical rules for improved generalization and reasoning in syllogistic logic tasks.

Ax Jackson Hassell, Dan Zhang, Hannah Kim, Tom Mitchell, Estevam Hruschka 5/6/2026

Learning from Supervision with Semantic and Episodic Memory: A Reflective Approach to Agent Adaptation

Memory-augmented framework enabling LLM-based agents to learn classification tasks from labeled examples without parameter updates using semantic and episodic memory.

Ax Yuxin Bai, Aranyak Acharyya, Ashwin De Silva, Zeyu Shen, James Hassett, Joshua T. Vogelstein 5/6/2026

Optimal control of the future via prospective learning with control

Research extending supervised learning to optimal control problems as alternative to reinforcement learning in non-stationary environments.

Ax Jun-Qi Chen, Kun Zhang, Rui Zheng, Ying Zhong 5/6/2026

Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support

LLM-assisted tool for translating conceptual queueing system descriptions into executable simulation code with mechanism verification.

Ax Xinglin Wang, Jiayi Shi, Shaoxiong Feng, Peiwen Yuan, Yiwei Li, Yueqi Zhang, Chuyi Tan, Ji Zhang, Boyuan Pan, Yao Hu, Kan Li 5/6/2026

Do Not Waste Your Rollouts: Recycling Search Experience for Efficient Test-Time Scaling

Test-Time Scaling method recycling intermediate search rollouts from LLM reasoning to improve efficiency and reduce computational redundancy during inference.

Ax Jackie Baek, Yaopeng Fu, Will Ma, Tianyi Peng 5/6/2026

AI Agents for Inventory Control: Human-LLM-OR Complementarity

AI agent system combining LLMs with operations research algorithms for inventory control, handling demand shifts and contextual information better than traditional OR methods.

Ax Shan Yang, Yang Liu 5/6/2026

Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning

Descent-Guided Policy Gradient method for scalable cooperative multi-agent reinforcement learning, reducing cross-agent noise using differentiable analytical solutions.

Ax Hongbo Jin, Rongpeng Zhu, Jiayu Ding, Guibo Luo, Ge Li 5/6/2026

HiMAC: Hierarchical Macro-Micro Learning for Long-Horizon LLM Agents

HiMAC framework for long-horizon LLM agents using hierarchical macro-micro learning to improve structured planning and execution reliability.

Ax Dilermando Almeida, Juliano Negri, Guilherme Lazzarini, Thiago H. Segreto, Ranulfo Bezerra, Ricardo V. Godoy, Marcelo Becker 5/6/2026

Viewpoint-Agnostic Grasp Pipeline using VLM and Partial Observations

End-to-end pipeline for language-guided robotic grasping combining vision-language models with partial observations and collision-free execution on legged manipulators.