Ax Yash Madhwal, Arseny Bolotnikov, Mark Prikhno, Irina Lebedeva, Ivan Laishevskiy, Vladimir Gorgadze, Artem Barger, Yury Yanovich 5/6/2026

Caliper-in-the-Loop: Black-Box Optimization for Hyperledger Fabric Performance Tuning

Bayesian optimization with dimensionality reduction for automated Hyperledger Fabric performance tuning via black-box benchmarking.

Ax Dominik Macko, Alok Debnath, Jakub Simko 5/6/2026

mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization Detection

Qwen3-32B finetuning for multilingual polarization detection across detection, type, and manifestation subtasks.

Ax Sergio Orozco, Tushar Kusnur, Brandon May, George Konidaris, Laura Herlant 5/6/2026

Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions

PIEGraph combines graph neural networks with analytical physics for data-efficient deformable object dynamics learning in robotics.

Ax Anahita Golrang, Kshitij Sharma, olga viberg 5/6/2026

ProPACT: A Proactive AI-Driven Adaptive Collaborative Tutor for Pair Programming

AI tutor system treating pair programming collaboration as instructional target using joint visual attention and cognitive modeling.

Ax Dominik Macko 5/6/2026

mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection

Qwen3-32B finetuning with data augmentation and self-training for Reddit conspiracy detection classification task.

Ax Yangfu Li, Yuning Gong, Hongjian Zhan, Teng Li, Yuanhuiyi Lyu, Tianyi Chen, Qi Liu, Ziyuan Huang, Zhihang Zhong, Dandan Zheng, Yue Lu 5/6/2026

Perceptual Flow Network for Visually Grounded Reasoning

Vision-language model for grounded reasoning using perceptual flow networks to reduce hallucination and language bias.

Ax Yuecai Zhu, Nikolaos Tsantalis, Peter C. Rigby 5/6/2026

AI-Generated Smells: An Analysis of Code and Architecture in LLM and Agent-Driven Development

Systematic audit of technical debt and code quality in LLM and agent-generated software, revealing machine-specific defect patterns.

Ax Frederic Grabowski, Jacek Szczerbi\'nski, Maciej Ja\'skowski, Kalina Jasi\'nska-Kobus, Pawe{\l} D\k{a}browski-Tuma\'nski, Tomasz Jetka, Bartosz Topolski 5/6/2026

Bolek: A Multimodal Language Model for Molecular Reasoning

Multimodal LLM grounding molecular reasoning in chemical structures via Morgan fingerprint embeddings for drug discovery auditing.

Ax Sowmya Vajrala, Akshay Bankar, Manjunath Arveti, Shreyas Pandith, Sravanth Kodavanti, Subhajit Sanyal, Amit Unde, Srinivas Soumitri Miriyala 5/6/2026

TOC-SR: Task-Optimal Compact diffusion for Image Super Resolution

Compact one-step diffusion model for efficient image super-resolution via task-optimal backbone discovery.

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 planner for offline safe RL with decoupled guidance to balance reward and constraint satisfaction adaptively.

Ax Komal Thareja, Anirban Mandal, Ewa Deelman 5/6/2026

(POSTER) From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications

Pattern-based AI-assisted methodology for sensor-driven application development using Pegasus workflows on FABRIC testbed.

Ax Komal Thareja, Anirban Mandal, Ewa Deelman 5/6/2026

From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications

Methodology for rapid sensor data application development across edge-to-cloud infrastructure using pattern-based approaches.

Ax Lingxiao Kong, Cong Yang, Oya Deniz Beyan, Zeyd Boukhers 5/6/2026

Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters

Uses SHAP analysis to decompose RL algorithm and hyperparameter contributions to generalization gaps in robotics, improving configuration selection.

Ax Shikhar Shukla 5/6/2026

SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection

SpecKV adaptive speculative decoding with compression-aware gamma selection for LLM inference acceleration. Research on optimizing draft model token proposal length.

Ax Ricardo Euler, Pedro Maristany de las Casas, Ralf Bornd\"orfer 5/6/2026

Logic-Constrained Shortest Paths for Flight Planning

Algorithm for logic-constrained shortest path problem with satisfiability constraints applied to flight planning optimization. Specialized constraint solving research.

Ax Guannan Liang, Qianqian Tong 5/6/2026

LLM-Powered AI Agent Systems and Their Applications in Industry

Survey of LLM-powered AI agent systems and industrial applications with multimodal capabilities. Comprehensive research on agent architecture and deployment.

Ax Xiangyu Zhao, Wanghan Xu, Bo Liu, Yuhao Zhou, Fenghua Ling, Ben Fei, Xiaoyu Yue, Lei Bai, Wenlong Zhang, Xiao-Ming Wu 5/6/2026

MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs

MSEarth benchmark dataset for multimodal LLMs on earth science phenomenon discovery. Research-backed evaluation framework for MLLM scientific reasoning.

Ax Theofanis Aravanis 5/6/2026

Machine Learning as Iterated Belief Change a la Darwiche and Pearl

Theoretical analysis of neural networks as iterated belief change systems using Darwiche-Pearl framework.

Ax Abderaouf Bahi, Amel Ourici 5/6/2026

NaviGNN: Multi-Agent Reinforcement Learning and Graph Neural Network for Sustainable Mobility in Futuristic Smart Cities

NaviGNN hybrid framework combines agent-based modeling, RL, and GNNs for multi-agent navigation in futuristic smart city topologies.

Ax Guoying Zhu, Meng Li, Haipeng Dai, Xuechen Liu, Weijun Wang, Keran Li, Jun xiao, Ligeng Chen, Wei Wang 5/6/2026

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution

SMoE algorithm-system co-design deploys Mixture of Experts models on edge devices via expert importance-guided substitution.

Ax Ryan Lucas, Kayhan Behdin, Zhipeng Wang, Qingquan Song, Shao Tang, Rahul Mazumder 5/6/2026

Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction

Chain-of-Thought Reconstruction technique prunes reasoning LLMs while maintaining performance by reconstructing thinking tokens.

Ax Xiyuan Zhou, Xinlei Wang, Yirui He, Yang Wu, Ruixi Zou, Yuheng Cheng, Yulu Xie, Wenxuan Liu, Huan Zhao, Yan Xu, Jinjin Gu, Junhua Zhao 5/6/2026

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving

EngiBench hierarchical benchmark evaluates LLMs on real-world engineering problem-solving with uncertainty and open-ended settings.

Ax Ruiling Xu, Yifan Zhang, Qingyun Wang, Carl Edwards, Heng Ji 5/6/2026

oMeBench: Towards Robust Benchmarking of LLMs in Organic Mechanism Elucidation and Reasoning

oMeBench benchmark evaluates LLM reasoning capabilities on organic chemistry mechanism elucidation tasks.

Ax Gautier Dagan, Frank Keller, Alex Lascarides 5/6/2026

$How^{2}$: How to learn from procedural How-to questions

How² method enables agents to learn from procedural how-to questions to reduce uncertainty and fill knowledge gaps in planning.

Ax Yiheng Chen, Lingyao Li, Zihui Ma, Qikai Hu, Yilun Zhu, Min Deng, Runlong Yu 5/6/2026

Empowering LLM Agents with Geospatial Awareness: Toward Grounded Reasoning for Wildfire Response

Geospatial Awareness Layer grounds LLM agents in structured earth data for wildfire response planning and disaster management.

Ax Hyunji Min, Sangwon Jung, Junyoung Sung, Dosung Lee, Leekyeung Han, Paul Hongsuck Seo 5/6/2026

GOAT: A Training Framework for Goal-Oriented Agent with Tools

GOAT training framework for LLM agents with tool use, synthesizes API execution data from documentation for fine-tuning without human annotation.

Ax Vojtech Franc, Jakub Paplham 5/6/2026

Epistemic Reject Option Prediction

Reject option prediction method quantifying both epistemic and aleatoric uncertainty for high-stakes prediction applications.

Ax Weihao Bo, Shan Zhang, Yanpeng Sun, Jingjing Wu, Qunyi Xie, Xiao Tan, Kunbin Chen, Wei He, Xiaofan Li, Na Zhao, Jingdong Wang, Zechao Li 5/6/2026

Agentic Learner with Grow-and-Refine Multimodal Semantic Memory

Agentic learner with multimodal semantic memory that grows and refines domain knowledge across multiple modalities to avoid repeating mistakes.

Ax Zhongyang Liu, Haoyu Pei, Xiangyi Xiao, Xiaocong Du, Yihui Li, Suting Hong, Kunpeng Zhang, Haipeng Zhang 5/6/2026

Beyond Isolated Investor: Predicting Startup Success via Roleplay-Based Collective Agents

SimVC-CAS collective agent system simulates venture capital decisions through multi-agent roleplay to predict startup success.

Ax Caijun Xu, Changyi Xiao, Zhongyuan Peng, Xinrun Wang, Yixin Cao 5/6/2026

SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning

SCALER framework uses synthetic adaptive learning environments with RL to enhance LLM reasoning by maintaining alignment between task difficulty and model capability.

Ax Ian Rios-Sialer 5/6/2026

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety

Framework characterizing homogenization in LLMs through bias amplification and mode collapse, proposing metrics for AI safety evaluation.

Ax Kartikey Singh Bhandari, Tanish Jain, Archit Agrawal, Dhruv Kumar, Praveen Kumar, Pratik Narang 5/6/2026

Beyond Sentiment: A Multi-Agent Pipeline for Actionable Business Advice from Reviews

Multi-agent pipeline using LLMs to convert customer reviews into actionable business recommendations through hierarchical decision-support.

Ax Ali Ezzat Shahroor, Mohamed Bayan Kmainasi, Abul Hasnat, Dimitar Dimitrov, Giovanni Da San Martino, Preslav Nakov, Firoj Alam 5/6/2026

MemeLens: Multilingual Multitask VLMs for Memes

MemeLens is a multilingual multitask Vision Language Model for meme understanding across hate detection, propaganda, and sentiment tasks.

Ax Shuo Liu, Tianle Chen, Ryan Amiri, Christopher Amato 5/6/2026

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic

Multi-Agent Actor Critic framework enables decentralized LLM collaboration with parallel inference and flexible deployments without predefined execution protocols.

Ax Yunjian Zhang, Sudong Wang, Yang Li, Peiran Xu, Conghao Zhou, Xiaoyue Ma, Jianing Li, Yao Zhu 5/6/2026

Resource-Efficient Reinforcement for Reasoning Large Language Models via Dynamic One-Shot Policy Refinement

Dynamic One-Shot Policy Refinement method reduces resource costs for reinforcement learning of LLM reasoning while maintaining performance on complex tasks.

Ax Zeyu Fang, Mahdi Imani, Tian Lan 5/6/2026

MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation

MINT framework for AI agents to actively elicit human inputs through optimal interaction strategies in joint planning with incomplete information.

Ax Ruijie Shi, Houbin Zhang, Yuecheng Han, Yuheng Wang, Jingru Fan, Runde Yang, Yufan Dang, Huatao Li, Dewen Liu, Yuan Cheng, Chen Qian 5/6/2026

AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction

Introduces Agentic Workflow Reconstruction (AWR) task to synthesize explicit, interpretable workflows from opaque LLM-based agentic systems.

Ax Matthias Mertens, Natalia Fischl-Lanzoni, Neil Thompson 5/6/2026

Is there "Secret Sauce'' in Large Language Model Development?

Analyzes 809 LLMs released 2022-2025 via scaling-law regressions, finding developer-specific efficiency advantages beyond raw compute scaling.

Ax Serafim Batzoglou 5/6/2026

ABD: Default Exception Abduction in Finite First Order Worlds

Proposes ABD benchmark for default-exception abduction in finite first-order worlds with SMT verification across three observation regimes.

Ax Varun Ursekar (Emily), Apaar Shanker (Emily), Veronica Chatrath (Emily), Yuan (Emily), Xue, Sam Denton 5/6/2026

VeRO: An Evaluation Harness for Agents to Optimize Agents

Introduces VeRO, an evaluation harness for coding agents optimizing other agents through iterative edit-execute-evaluate cycles.

Ax Emmanuel Aboah Boateng, Kyle MacDonald, Akshad Viswanathan, Sudeep Das 5/6/2026

Agentic Multi-Source Grounding for Enhanced Query Intent Understanding: A DoorDash Case Study

Presents agentic multi-source grounding approach for disambiguating user queries in multi-category marketplaces, tested at DoorDash.

Ax Xinyan Jiang, Ninghao Liu, Di Wang, Lijie Hu 5/6/2026

Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability

Introduces TRACED framework evaluating LLM reasoning quality through geometric kinematics measuring progress and stability of reasoning traces.

Ax Truong Xuan Khanh, Truong Quynh Hoa, Luu Duc Trung, Phan Thanh Duc 5/6/2026

The Norm-Separation Delay Law of Grokking: A First-Principles Theory of Delayed Generalization

Establishes quantitative theory of grokking as norm-driven representational phase transition, deriving the Norm-Separation Delay Law.

Ax Adam Dejl, Matthew Williams, Francesca Toni 5/6/2026

Argumentation for Explainable and Globally Contestable Decision Support with LLMs

Augments LLMs with computational argumentation for explainable, contestable decision-making in high-stakes domains.

Ax Jianan Chen, Zhifang Zhang, Shuo He, Linan Yue, Lei Feng, Minling Zhang 5/6/2026

Towards Safer Large Reasoning Models by Promoting Safety Decision-Making before Chain-of-Thought Generation

Reveals safety degradation in large reasoning models occurs after chain-of-thought generation and proposes safety decisions before CoT.

Ax Syed Usama Imtiaz, Mitra Nasr Azadani, Nasrin Alamdari 5/6/2026

SpecTM: Spectral Targeted Masking for Trustworthy Foundation Models

Proposes SpecTM, physics-informed masking for Earth observation foundation models enforcing spectral constraints during reconstruction.

Ax Dengzhe Hou, Lingyu Jiang, Deng Li, Zirui Li, Fangzhou Lin, Kazunori D Yamada 5/6/2026

WMF-AM: Probing LLM Working Memory via Depth-Parameterized Cumulative State Tracking

Introduces WMF-AM, a probe measuring LLM working memory via cumulative state tracking across sequential operations without scratchpad.

Ax Pablo de los Riscos, Fernando J. Corbacho, Michael A. Arbib 5/6/2026

Working Paper: Towards a Category-theoretic Comparative Framework for Artificial General Intelligence

Develops category-theoretic framework for defining, comparing, and analyzing AGI systems and benchmarks.

Ax Jonas Landsgesell, Pascal Knoll, Tizian Wenzel 5/6/2026

ScoringBench: A Benchmark for Evaluating Tabular Foundation Models with Proper Scoring Rules

Introduces ScoringBench, an open benchmark evaluating tabular foundation models using proper scoring rules instead of point-estimate metrics.

Ax Thanh Luong Tuan, Abhijit Sanyal 5/6/2026

Ontology-Constrained Neural Reasoning in Enterprise Agentic Systems: A Neurosymbolic Architecture for Domain-Grounded AI Agents

Presents neurosymbolic architecture using ontology-constrained reasoning in Foundation AgenticOS to reduce hallucination and enforce compliance in enterprise LLM agents.