Ax Hyunjin Seo, Hyeon Hwang, Gyubok Lee, Jay Shin, Jimin Park, Taesoo Kim, Sanghoon Lee, Hongjoon Ahn, Sungjun Han, Sangwon Jung 7/13/2026

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology

TheBioCollection unifies scattered biological databases and resources into a cohesive pretraining corpus for biology-focused large language models.

Ax Dominick Reilly, Qiyu Wu, Hiromi Wakaki, Srijan Das, Yuki Mistufuji 7/13/2026

Mixture of Probes: Learning from Privileged Modalities in Multimodal LLMs Through Probing

Mixture of Probes technique allows multimodal LLMs to learn from auxiliary modalities available only during training, improving inference-time performance with limited modalities.

Ax Michael Murray, Daphne Chen, Simran Bagaria, Dean Fortier, Tess Hellebrekers, Galen Mullins, Harshavardhan Gajarla, Oier Mees, Maya Cakmak, Andrey Kolobov 7/13/2026

FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space

FlowDAgger enables human-in-the-loop adaptation of pretrained generative robot policies using diffusion models, allowing rapid real-world deployment without large-scale retraining.

Ax Maureese Williams, Dymitr Nowicki 7/13/2026

GATS: Graph-Augmented Tree Search with Layered World Models for Efficient Agent Planning

GATS: Planning framework for LLM agents combining tree search with layered world models to reduce inference costs during planning.

Ax Alex Beaudin, Hanna Krasowski, Eric Palanques-Tost, Calin Belta, Murat Arack 7/13/2026

Learning-enabled Parameter Synthesis for Nonlinear Systems from Signal Temporal Logic

Parameter synthesis for nonlinear systems satisfying Signal Temporal Logic specifications using gradient-based optimization.

Ax Xin Che, Lingyang Chu, Qiqi Zhang, Xinyu Ma, Xuan Luo, Jian Pei 7/13/2026

RaMark: Radioactive Watermarking for Generated Tabular Data

Watermarking method for generated tabular data that resists retraining attacks for ownership verification.

Ax Shikhar Bharadwaj, Kwanghee Choi, Stephen McIntosh, Chin-Jou Li, Eunjung Yeo, Daisuke Saito, Nobuaki Minematsu, Shinji Watanabe, Jian Zhu, David Harwath, David R. Mortensen 7/13/2026

Phone Segmentation and Recognition through Phonological Activation Mapping

Phone segmentation and recognition using phonological activation mapping from self-supervised speech models.

Ax Pulkit Madan, Sanjay Haresh, Reza Ebrahimi, Sunny Panchal, Apratim Bhattacharyya, Roland Memisevic 7/13/2026

On Locality and Length Generalization in Visual Reasoning

Analysis of local sequential vision models versus global models, investigating computational benefits for visual reasoning tasks.

Ax Tanapol Nuatho, Narisorn Sangnakara, Prapong Prechaprapranwong, Rajchawit Sarochawikasit 7/13/2026

Quantum-Enhanced Synthetic Data Generation Using Quantum Circuit Born Machines for Imbalanced Tabular Learning

Quantum-classical hybrid framework using quantum circuit born machines for synthetic data generation in imbalanced learning.

Ax Haohui Huang, Xi Yuan, Panpan Liao, Tao Teng, Chenguang Yang, Jing Guo, Yi Guo 7/13/2026

GenVid2Robot: From Video Generation to Robot Manipulation via Rigid-Geometric Consistency

Framework converting generated videos to robot manipulation trajectories by enforcing rigid-geometric consistency and kinematic constraints.

Ax Konstantin Garbers, Nicholas Oh 7/13/2026

Complexity-Guided Component-wise Initialization for Language Model Pretraining

Method for initializing language model pretraining using spectral patterns from pretrained checkpoints to improve efficiency.

Ax Rahul Jaiswal 7/13/2026

Leveraging Interpretable Tsetlin Machine for PDF Malware Detection

arXiv paper presenting Tsetlin Machine approach for interpretable PDF malware detection addressing cyberattack vector.

Ax Isarun Chamveha, Tretap Promwiset, Napat Wanchaitanawong, Trongtum Tongdee, Pairash Saiviroonporn, Warasinee Chaisangmongkon 7/13/2026

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand

arXiv paper on deep learning system for thoracic disease detection in chest radiographs developed and validated on Thai population data.

Ax Kwan Soo Shin, In Seok Kang, Yunkyung Min 7/13/2026

Creativity, honesty and designed forgetting emerge in small hyperbolic language models

arXiv paper studying creativity, honesty and memory in small hyperbolic language models and implications for AI assistants becoming companions.

Ax Miguel Arana-Catania, Gillian Pink, Glenn Roe 7/13/2026

Automatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete Works

arXiv paper applying machine learning to automatic thematic indexing of Voltaire's complete works, automating scholarly text categorization at scale.

Ax Miguel Arana-Catania, Catherine Conisbee, Matthew Kidd 7/13/2026

Letting the Data Speak: Extracting Keywords from Crowdsourced Collections with AI

arXiv paper evaluating NLP approaches for automated keyword extraction from crowdsourced Second World War digital collections.

Ax Cedric Caruzzo, Donggeun Yoo, Tae Soo Kim 7/13/2026

Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation

arXiv paper identifying entity attribution failure in clinical RAG systems where retrieved evidence can be misattributed despite passing standard evaluation metrics.

Ax The Soofi-Team, :, Benedikt Droste, David Fitzek, Ruben H\"arle, Lukas Helff, Maximilian Idahl, Alex Jude, Abbas Goher Khan, Maurice Kraus, Timm Ruland, Richard Rutmann, Sebastian Sztwiertnia, Markus Frey, Daniil Gurgurov, Jan Pfister, Tom R\"ohr, Sebastian von Rohrscheidt, J\"org Bienert, Nicolas Flores-Herr, Simon Gottschalk, Andreas Hotho, Kristian Kersting, Joachim K\"ohler, Alexander L\"oser, Wolfgang Nejdl, Simon Ostermann, Jan Plogsties, Patrick Putzky, Mehdi Ali, Michael Fromm, Max L\"ubbering 7/13/2026

A Sovereign, Open-Source Foundation Model for German and English

Soofi S 30B-A3B: open-source MoE hybrid Mamba Transformer foundation model for German and English, 3B active parameters per token, optimized for long-context deployment.

Ax Tam\'as Matuszka, Andr\'as Tam\'asy, Bal\'azs Szol\'ar 7/13/2026

Multimodal Scenario Similarity Search for Autonomous Driving

Multimodal framework for retrieving similar autonomous driving scenarios combining visual and motion-based representations.

Ax Spiros Baxevanakis, Peng-Jian Yang 7/13/2026

Test-Time Scaling for Small VLMs on Multilingual Visual MCQ

Evaluates test-time scaling techniques on multilingual visual multiple-choice benchmark comparing self-consistency and beam search strategies on small open VLMs.

Ax Xingyu Zhu, Huanshen Wu, Shuo Wang, Beier Zhu, Jiannan Ge, Jiaheng Zhang, Long Chen 7/13/2026

Robustifying Vision-Language Models via Test-Time Prompt Adaptation

Test-time prompt adaptation method for improving Vision-Language Model robustness against adversarial perturbations using distributional structure awareness.

Ax Ibrahim Batuhan Akkaya, Kishaan Jeeveswaran, Bahram Zonooz, Elahe Arani 7/13/2026

Foveation-Guided Dynamic Token Selection for Robust and Efficient Vision Transformers

Foveated Dynamic Transformer applies human visual system principles for efficient vision transformer token selection with robustness to adversarial perturbations.

Ax Ahmed Oumar El-Shangiti, Abzal Nurgazy, Hilal AlQuabeh, Nikolai Rozanov, Kentaro Inui 7/13/2026

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs

Investigation of counting failures in VLMs reveals internal representations encode count information but fail verbalization; proposes probing-based detection method.

Ax Yuan Cao, Haiqian Yang 7/13/2026

Beyond Fixed Representations: The Vocabulary and Verifier Gaps in Open-Ended AI

Analysis of representational limitations in AI systems for reasoning, coding, theorem-proving and tool use; identifies vocabulary and verifier gaps in open-ended evaluation.

Ax Okezzi Ukorigho, Opeoluwa Owoyele 7/13/2026

Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics

Physics-constrained ML framework using residual data augmentation and entropy constraints for accelerating turbulent flow simulations via surrogate chemical kinetics models.

Ax Kangwei Xu, Bing Li, Ulf Schlichtmann 7/13/2026

LLM for EDA in Front-End Design: Challenges and Opportunities

ArXiv paper on LLM applications for electronic design automation including HDL generation, testbench construction, and design space exploration.

Ax Federico L. Perlino, Oliver Hamelijnck, Adam M. Johansen, Theodoros Damoulas 7/13/2026

Deep Gaussian Processes on Directed Acyclic Graphs

ArXiv paper on deep Gaussian processes over DAGs for modeling compositions of partially-observed functions in causal and engineering systems.

Ax Kexin Li, Aastha Mehta, David Lie 7/13/2026

LDPKiT: Superimposing Remote Queries for Privacy-Preserving Distillation

Privacy-preserving model distillation framework using local differential privacy for remote API access scenarios. Non-adversarial approach.

Ax Takuya Kanayama, Yuki Ito, Tomoyuki Tamura, Masayuki Karasuyama 7/13/2026

Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems

Bayesian optimization method for bilevel optimization with expensive black-box functions. Theoretical framework without clear AI/ML application focus.

Ax Liangyu Ding, Chenghan Wu, Guokai Li, Zizhuo Wang 7/13/2026

Self-Improving Neural-Guided Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing

Graph neural network for mixed bundle pricing with self-improving pruning strategy.

Ax Willa Potosnak, Malcolm Wolff, Mengfei Cao, Ruijun Ma, Tatiana Konstantinova, Dmitry Efimov, Michael W. Mahoney, Boris Oreshkin, Kin G. Olivares 7/13/2026

Forking-Sequences: Statistically and Computationally Efficient Multi-Horizon Forecasting with Reduced Volatility

Multi-horizon time series forecasting with reduced volatility using neural sequence forking.

Ax Yavuz Bakman, Duygu Nur Yaldiz, Eleni Triantafillou, Peter Kairouz, Salman Avestimehr, Sai Praneeth Karimireddy 7/13/2026

Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment

Analysis of LLM alignment degradation after fine-tuning beyond black-box evaluation limits.

Ax Tanmay Ambadkar, Sourav Panda, Shreyash Kale, Jonathan Dodge, Abhinav Verma 7/13/2026

Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization

Multi-objective RL approach for preference-conditioned policy optimization with diversity.

Ax Shaan Pakala, Aldair E. Gongora, Brian Giera, Evangelos E. Papalexakis 7/13/2026

Tensor Methods: A Unified and Interpretable Approach for Material Design

Tensor methods for material design optimization reducing computational search space.

Ax Yiyang Lu, Haresh Jadav, Mohammad Pedramfar, Ranveer Singh, Vaneet Aggarwal 7/13/2026

Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets

Online optimization of non-monotone DR-submodular functions with linearizability analysis.

Ax Ravi Ghadia, Maksim Abraham, Sergei Vorobyov, Max Ryabinin 7/13/2026

Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking

Memory-efficient context parallelism for long-sequence Transformer processing via headwise chunking.

Ax Luca Schmidt, Nina Effenberger, Vitus Benson, Philine L. Bommer, Robert Brunstein, Mikel N. Legasa, Maxim Samarin, Maybritt Schillinger 7/13/2026

Bridging the Gap Between Climate Science and Machine Learning in Climate Model Emulation

ML emulators for climate model acceleration to reduce computational costs in climate science.

Ax Orhun Bugra Baran, Melih Kandemir, Ramazan Gokberk Cinbis 7/13/2026

Policy-based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards

RL method for tuning autoregressive image models with instance and distribution-level rewards.

Ax Haishan Ye 7/13/2026

Logarithmic High-Probability Regret for Online Convex Optimization with Two-Point Bandit Feedback

Research paper on logarithmic regret bounds for online convex optimization with bandit feedback.

Ax Hannah Guan, Soukayna Mouatadid, Paulo Orenstein, Judah Cohen, Haiyu Dong, Zekun Ni, Jeremy Berman, Genevieve Flaspohler, Alex Lu, Jakob Schloer, Joshua Talib, Jonathan A. Weyn, Lester Mackey 7/13/2026

Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction

Probabilistic bias correction improves AI and physics-based subseasonal weather forecasts.

Ax Tao Xie, Zexi Tan, Haoyi Xiao, Mengke Li, Yiqun Zhang, Yang Lu, Cuie Yang, Yiu-ming Cheung 7/13/2026

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE

Interpretable multivariate time series classification via anchor-routed MoE for high-stakes applications.

Ax Ali Behrouz, Farnoosh Hashemi, Adel Javanmard, Vahab Mirrokni 7/13/2026

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories

Method for LLMs to self-modify and consolidate in-context knowledge into long-term parameters through memory consolidation.

Ax Omar Adalat, Edwin Hamel-De le Court, Francesco Belardinelli 7/13/2026

Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning

Contract-based compositional shielding enforces safety in decentralized multi-agent RL through runtime guarantees.

Ax Carlo Di Cicco 7/13/2026

Code Correctness Signals in LLM Hidden States: Pre-Generation Probing and Repair Geometry

Code correctness is linearly decodable from LLM hidden states before generation; studies repair geometry in Qwen3.

Ax Alan Nadelsticher Ruvalcaba 7/13/2026

Evolutionary Discovery of Developmental Reward Schedules in Deep Reinforcement Learning

Evolutionary framework discovers developmental reward schedules in RL combining agency, novelty, and reactivity components.

Ax Amirhossein Kardoost, Lion Gleiter, Tingying Peng, Carsten Marr 7/13/2026

3D Masked Autoencoders are Robust Learners of Volumetric and Multimodal Cellular Representations for Microscopy

3D masked autoencoders outperform 2D variants for volumetric microscopy cell representations in self-supervised learning.

Ax Yujiang He, Frederic Uhrweiller, Bernhard Sick 7/13/2026

Towards Continuous Power Forecasting: Practical Continual Learning for Real-World Energy Systems in Nonstationary Time Series

Continual learning approach for power forecasting in nonstationary energy systems using deep learning.

Ax Aniq Ur Rahman 7/13/2026

Estimation-Prediction Tradeoff in Causal Probabilistic Temporal Graphs

Temporal link prediction tradeoff analysis: Fisher information bounds on parameter estimation vs predictive accuracy in causal probabilistic temporal graphs.

Ax Zijun Xie, Binbin Zheng, Enlei Gong, Jihua Liu, Yuyang You, Lingfeng Liu, Jiayao Tang, Guanqun Zhao, Aoqi Hu, Zeyu Chen 7/13/2026

ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL

ECHO: memory-efficient context management for long-horizon language agents via selective turn pruning and tracing; maintains interpretability of decision support.

Ax Rajat Ghosh 7/13/2026

Reduced-Order Models: The Mother of World Models

World models as functional descendants of model-order-reduction techniques; argues modern self-supervised approaches reimplement decades-old control theory concepts.