Ax Mansoor Ahmed, Nadeem Taj, Imdad Ullah Khan, Hemanth Venkateswara, Murray Patterson 4/2/2026

CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design

Standardized benchmark dataset for epitope-specific antibody design with unified evaluation metrics for generative methods.

Ax Shenyang Deng, Zhuoli Ouyang, Tianyu Pang, Zihang Liu, Ruochen Jin, Shuhua Yu, Yaoqing Yang 4/2/2026

RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization

Preconditioned optimization method using row-momentum normalization for scalable matrix-based neural network training.

Ax Shinsaku Sakaue 4/2/2026

Simple Projection-Free Algorithm for Contextual Recommendation with Logarithmic Regret and Robustness

Projection-free algorithm for contextual bandits achieving logarithmic regret with improved efficiency over Online Newton Step.

Ax YanZhao Zheng, ZhenTao Zhang, Chao Ma, YuanQiang Yu, JiHuai Zhu, Yong Wu, Tianze Xu, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu 4/2/2026

SkillRouter: Skill Routing for LLM Agents at Scale

Skill routing system for LLM agents that identifies relevant skills from large ecosystems before planning or execution.

Ax Dogan Urgun, Gokhan Gungor 4/2/2026

Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning

Framework using LLMs to automatically design reward programs for cooperative multi-agent RL systems with sparse task feedback.

Ax Pengxuan Yang, Yupeng Zheng, Deheng Qian, Zebin Xing, Qichao Zhang, Linbo Wang, Yichen Zhang, Shaoyu Guo, Zhongpu Xia, Qiang Chen, Junyu Han, Lingyun Xu, Yifeng Pan, Dongbin Zhao 4/2/2026

DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving

DreamerAD uses latent world models for efficient RL in autonomous driving, compressing diffusion sampling 80x with visual interpretability.

Ax Marc-Antoine Allard, Arnaud Teinturier, Victor Xing, Gautier Viaud 4/2/2026

Experiential Reflective Learning for Self-Improving LLM Agents

ERL framework enabling LLM agents to self-improve through experiential learning from past interactions and reflective adaptation.

Ax Devashish Gaikwad, Wil M. P. van der Aalst, Gyunam Park 4/2/2026

Neuro-Symbolic Process Anomaly Detection

Neuro-symbolic method for process anomaly detection combining neural networks with domain knowledge from process mining.

Ax Shoujin Wang, Mingze Ni, Wei Liu, Victor W. Chu, Bryan Zheng, Ayush Kanwal, Roy Jing Yang, Kenneth Sabir, Fang Chen 4/2/2026

Neural Federated Learning for Livestock Growth Prediction

Federated learning approach for livestock growth prediction addressing privacy concerns and limited datasets in agricultural applications.

Ax Yufei Xu, Fanxu Meng, Fan Jiang, Yuxuan Wang, Ruijie Zhou, Zhaohui Wang, Jiexi Wu, Zhixin Pan, Xiaojuan Tang, Wenjie Pei, Tongxuan Liu, Di yin, Xing Sun, Muhan Zhang 4/2/2026

HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention

Hierarchical indexing system for efficient fine-grained sparse attention in transformers, removing bottleneck from key selection.

Ax Tushar Dhananjay Pathak 4/2/2026

ARCS: Autoregressive Circuit Synthesis with Topology-Aware Graph Attention and Spec Conditioning

Autoregressive system for generating complete analog circuit designs with topology and component values using graph VAE and flow-matching.

Ax Shafayeth Jamil, Rehan Kapadia 4/2/2026

Lie Generator Networks for Nonlinear Partial Differential Equations

Neural operator learning nonlinear PDEs by lifting dynamics into linear latent space via Koopman generator decomposition.

Ax Max Hennick, Guillaume Corlouer 4/2/2026

From Density Matrices to Phase Transitions in Deep Learning: Spectral Early Warnings and Interpretability

Uses 2-datapoint reduced density matrix from quantum chemistry to predict and understand phase transitions during neural network training.

Ax Chinmay Savadikar, Michelle Dai, Tianfu Wu 4/2/2026

CHEEM: Continual Learning by Reuse, New, Adapt and Skip -- A Hierarchical Exploration-Exploitation Approach

Continual learning framework using hierarchical exploration-exploitation to acquire knowledge from task streams without catastrophic forgetting.

Ax Anders Sj\"oberg, Jakob Lindqvist, Magnus \"Onnheim, Mats Jirstrand, Lennart Svensson 4/2/2026

MCMC-Correction of Score-Based Diffusion Models for Model Composition

Combines MCMC correction with score-based diffusion models using Metropolis-Hastings steps for improved sampling in model composition.

Ax Kwangho Kim, Jisu Kim, Edward H. Kennedy 4/2/2026

Causal K-Means Clustering

Novel k-means clustering approach incorporating causal inference to identify heterogeneous treatment effects across unknown subgroups.

Ax Antonio Di Noia, Iuri Macocco, Aldo Glielmo, Alessandro Laio, Antonietta Mira 4/2/2026

Scale-adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification

Method for estimating intrinsic dimensionality of datasets accounting for scale-dependent effects and measurement noise in unsupervised learning.

Ax Bhrij Patel, Souradip Chakraborty, Mengdi Wang, Dinesh Manocha, Amrit Singh Bedi 4/2/2026

Code Comprehension then Auditing for Unsupervised LLM Evaluation

LLM-based approach for unsupervised code correctness evaluation that separates code comprehension from auditing to improve accuracy without reference implementations.

Ax Vincent Guan, Joseph Janssen, Hossein Rahmani, Andrew Warren, Stephen Zhang, Elina Robeva, Geoffrey Schiebinger 4/2/2026

Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots

Method for learning stochastic differential equations from temporal snapshots without observable trajectories, applied to gene networks and financial markets.

Ax Johnny Chan, Yuming Li 4/2/2026

Enhancing Team Diversity with Generative AI: A Novel Project Management Framework

Project management framework using GenAI agents to optimize team composition by matching personality roles.

Ax Yuchen Fang, Javad Lavaei, Sen Na 4/2/2026

High Probability Complexity Bounds of Trust-Region Stochastic Sequential Quadratic Programming with Heavy-Tailed Noise

Trust-region stochastic SQP algorithm for nonlinear optimization with complexity bounds under heavy-tailed noise.

Ax Jialuo Li, Wenhao Chai, Xingyu Fu, Haiyang Xu, Saining Xie 4/2/2026

Science-T2I: Addressing Scientific Illusions in Image Synthesis

ScienceT2I dataset and evaluation of image generation models for physical plausibility across 16 scientific domains.

Ax Iskander Azangulov, Peter Potaptchik, Qinyu Li, Eddie Aamari, George Deligiannidis, Judith Rousseau 4/2/2026

Adaptive Diffusion Guidance via Stochastic Optimal Control

Theoretical framework using stochastic optimal control to adaptively determine guidance weights in diffusion models.

Ax Alejandro Murillo-Gonzalez, Lantao Liu 4/2/2026

Situationally-Aware Dynamics Learning

Framework for robots to learn hidden state representations online in unstructured environments via situational awareness.

Ax Chunyang Jiang, Chi-min Chan, Yiyang Cai, Yulong Liu, Wei Xue, Yike Guo 4/2/2026

Graceful Forgetting in Generative Language Models

Addresses negative transfer in fine-tuning by selectively forgetting unhelpful pre-trained knowledge in language models.

Ax Uranik Berisha, Jens Mehnert, Alexandru Paul Condurache 4/2/2026

Variance-Based Pruning for Accelerating and Compressing Trained Networks

Variance-based pruning method for compressing trained networks including Vision Transformers with minimal retraining.

Ax Xinfang Chen, Siyang Xiao, Xianying Zhu, Junhong Xie, Ming Liang, Dajun Chen, Wei Jiang, Yong Li, Peng Di 4/2/2026

NES: An Instruction-Free, Low-Latency Next Edit Suggestion Framework Powered by Learned Historical Editing Trajectories

NES framework for low-latency code edit suggestions without explicit instructions, using learned editing trajectories.

Ax Po-Hsien Yu, Yu-Syuan Tseng, Shao-Yi Chien 4/2/2026

FedKLPR: KL-Guided Pruning-Aware Federated Learning for Person Re-Identification

Federated learning framework for person re-identification addressing non-IID data and communication efficiency.

Ax Malte L\"uken, Javier Garcia-Bernardo, Sreeparna Deb, Flavio Hafner, Megha Khosla 4/2/2026

Population-Scale Network Embeddings Expose Educational Divides in Network Structure Related to Right-Wing Populist Voting

Network embeddings on Dutch population-scale data reveal educational divides correlated with right-wing populist voting.

Ax A. Chervov, D. Fedoriaka, E. Konstantinova, A. Naumov, I. Kiselev, A. Sheveleva, I. Koltsov, S. Lytkin, A. Smolensky, A. Soibelman, F. Levkovich-Maslyuk, R. Grimov, D. Volovich, A. Isakov, A. Kostin, M. Litvinov, N. Vilkin-Krom, A. Bidzhiev, A. Krasnyi, M. Evseev, E. Geraseva, L. Grunwald, S. Galkin, E. Koldunov, S. Diner, A. Chevychelov, E. Kudasheva, A. Sychev, A. Kravchenko, Z. Kogan, A. Natyrova, L. Shishina, L. Cheldieva, V. Zamkovoy, D. Kovalenko, O. Papulov, S. Kudashev, D. Shiltsov, R. Turtayev, O. Nikitina, D. Mamayeva, S. Nikolenko, M. Obozov, A. Titarenko, A. Dolgorukova, A. Aparnev, O. Debeaupuis, S. Alami C., H. Isambert 4/2/2026

CayleyPy Growth: Efficient growth computations and hundreds of new conjectures on Cayley graphs (Brief version)

Open source CayleyPy library for efficient Cayley and Schreier graph computations, with 200+ new conjectures in group theory.

Ax Ammar Ahmed, Azal Ahmad Khan, Ayaan Ahmad, Sheng Di, Zirui Liu, Ali Anwar 4/2/2026

Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts

Retrieval-of-Thought (RoT) system reuses prior reasoning steps organized in thought graphs to improve LLM inference efficiency.

Ax Boxuan Zhang, Yi Yu, Jiaxuan Guo, Jing Shao 4/2/2026

Dive into the Agent Matrix: A Realistic Evaluation of Self-Replication Risk in LLM Agents

Evaluates self-replication risks in LLM agents through realistic testing of autonomous agent behaviors and safety concerns.

Ax Samar Fares, Nurbek Tastan, Noor Hussein, Karthik Nandakumar 4/2/2026

MOLM: Mixture of LoRA Markers

Watermarking method (MOLM) for detecting and attributing synthetically generated images using LoRA markers.

Ax Yuanfang Xiang, Lun Ai 4/2/2026

Adaptive Data-Knowledge Alignment in Genetic Perturbation Prediction

Framework integrating data-driven learning with knowledge bases for genetic perturbation prediction in cellular systems.

Ax Shira Schiber, Ofir Lindenbaum, Idan Schwartz 4/2/2026

TempoControl: Temporal Attention Guidance for Text-to-Video Models

TempoControl method for fine-grained temporal control in text-to-video generation models.

Ax Amitis Shidani, Tyler Farghly, Yang Sun, Habib Ganjgahi, George Deligiannidis 4/2/2026

Beyond Real Data: Synthetic Data through the Lens of Regularization

Learning-theoretic framework quantifying trade-offs between synthetic and real data using algorithmic stability bounds.

Ax Percy S. Zhai, So Won Jeong, Veronika Ro\v{c}kov\'a 4/2/2026

Conditional Flow Matching for Bayesian Posterior Inference

Proposes flow matching method for Bayesian posterior inference without likelihood evaluation, using block-triangular velocity fields.

Ax Mykolas Sveistrys, Richard Kunert 4/2/2026

PluriHopRAG: Exhaustive, Recall-Sensitive QA Through Corpus-Specific Document Structure Learning

RAG system for exhaustive multi-document question answering that checks all relevant documents without clear stopping conditions.

Ax Veranika Boukun, J\"org L\"ucke 4/2/2026

Disentanglement of Sources in a Multi-Stream Variational Autoencoder

Multi-Stream VAE architecture combining discrete and continuous latent spaces for disentangled representation learning.

Ax Elias Hossain, Mehrdad Shoeibi, Ivan Garibay, Niloofar Yousefi 4/2/2026

BIOGEN: Evidence-Grounded Multi-Agent Reasoning Framework for Transcriptomic Interpretation in Antimicrobial Resistance

Multi-agent reasoning framework using AI agents for interpreting gene clusters in antimicrobial resistance transcriptomic data.

Ax Guneet S. Dhillon, Javier Gonz\'alez, Teodora Pandeva, Alicia Curth 4/2/2026

E-Scores for (In)Correctness Assessment of Generative Model Outputs

Framework using conformal prediction to assess correctness of LLM outputs and construct confidence sets for generative model responses.

Ax Wenlun Zhang, Yunshan Zhong, Zihao Ding, Xinyu Li, Kentaro Yoshioka 4/2/2026

D4C: Data-Free Quantization for Contrastive Language-Image Pre-training Models

Data-free quantization techniques for CLIP vision-language models enabling model compression without real data access for privacy-sensitive scenarios.

Ax Asad Aali, Muhammad Ahmed Mohsin, Vasiliki Bikia, Arnav Singhvi, Richard Gaus, Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Yifan Mai, Jordan Cahoon, Michael Pfeffer, Roxana Daneshjou, Sanmi Koyejo, Emily Alsentzer, Christopher Potts, Nigam H. Shah, Akshay S. Chaudhari 4/2/2026

Structured Prompts Improve Evaluation of Language Models

Study showing structured prompts significantly improve language model evaluation accuracy compared to single static prompt configurations in benchmarking.

Ax Yuexin Xiang, Yuchen Lei, Yuanzhe Zhang, Qin Wang, Tsz Hon Yuen, Andreas Deppeler, Jiangshan Yu 4/2/2026

Leveraging Large Language Models to Bridge Cross-Domain Transparency in Stablecoins

LLM-based framework bridging cross-domain data sources for stablecoin transparency in circulation, reserves, and disclosure records.

Ax Kehlani Fay, Darin Anthony Djapri, Anya Zorin, James Clinton, Ali El Lahib, Hao Su, Michael T. Tolley, Sha Yi, Xiaolong Wang 4/2/2026

House of Dextra: Cross-embodied Co-design for Dexterous Hands

Co-design framework for learning task-specific robot hand morphology and dexterous control policies simultaneously.

Ax Weifan Guan, Qinghao Hu, Huasen Xi, Chenxiao Zhang, Aosheng Li, Jian Cheng 4/2/2026

RoboNeuron: A Middle-Layer Infrastructure for Agent-Driven Orchestration in Embodied AI

RoboNeuron middleware layer connecting Vision-Language-Action models and LLM agents to robot middleware, standardizing tool API integration for embodied AI.

Ax Samar Fares, Nurbek Tastan, Karthik Nandakumar 4/2/2026

SPDMark: Selective Parameter Displacement for Robust Video Watermarking

SPDMark framework for robust in-generation video watermarking balancing imperceptibility, robustness, and computational efficiency.

Ax Jan Tagscherer, Sarah de Boer, Lena Philipp, Fennie van der Graaf, Dr\'e Peeters, Joeran Bosma, Lars Leijten, Bogdan Obreja, Ewoud Smit, Alessa Hering 4/2/2026

EvalBlocks: A Modular Pipeline for Rapidly Evaluating Foundation Models in Medical Imaging

EvalBlocks modular framework for efficient evaluation of foundation models in medical imaging, reducing manual experiment tracking workflows.

Ax Lucas Kook, S{\o}ren Wengel Mogensen 4/2/2026

Exact Graph Learning via Integer Programming

Graph learning via integer programming for causal discovery and inferring dependence structures in complex systems without restrictive assumptions.

Ax Bj\"orn Hoppmann, Christoph Scholz 4/2/2026

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent

Survey of meta-learning and meta-reinforcement learning methods enabling rapid task adaptation with minimal data, tracing DeepMind's adaptive agent research.