Ax Temoor Tanveer 5/12/2026

LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search

LEVI framework showing stronger search architectures can substitute for larger LLMs in evolutionary search, reducing computational costs.

Ax Cameron Berg, Roshni Lulla 5/12/2026

Exploitation Without Deception: Dark Triad Feature Steering Reveals Separable Antisocial Circuits in Language Models

Sparse autoencoder feature steering amplifying Dark Triad personality traits in Llama-3.3-70B to study antisocial behavior circuits.

Ax Dongxin Guo, Jikun Wu, Siu Ming Yiu 5/12/2026

EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent

EvoPref multi-objective evolutionary algorithm optimizing LoRA adapters for LLM alignment across helpfulness, harmlessness, and honesty objectives.

Ax Dongxin Guo, Jikun Wu, Siu Ming Yiu 5/12/2026

Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution

QD-LLM framework using parameter-efficient neuroevolution to evolve prompt embeddings for diverse LLM generation via Quality-Diversity optimization.

Ax Zhipeng Liu, Chunbo Luo 5/12/2026

CrossVL: Complexity-Aware Feature Routing and Paired Curriculum for Cross-View Vision-Language Detection

CrossVL method for vision-language detection across different viewpoints using complexity-aware feature routing and curriculum learning.

Ax Joshua Owusu Ansah, Anuj Kapoor, Ayush Khanna, Manvika Vinod, Precious Njeck, Shuai Gao 5/12/2026

Insight: Enhancing Mobile Accessibility for Blind and Visually Impaired Users with LLMs

Insight Android accessibility service using LLMs for natural language interaction and real-time screen summarization for blind and visually impaired users.

Ax Songtao Wei, Yi Li, Zhikai Li, Xu Hu, Yuede Ji, Guanpeng Li, Feng Chen, Carl Yang, Zhichun Guo, Bingzhe Li 5/12/2026

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models

LEAD framework for reducing verbosity in reasoning models' Chain-of-Thought trajectories through length-efficient adaptive reasoning.

Ax Ben Kereopa-Yorke, Guillermo Diaz, Holly Wright, Reagan Johnston, Ron F. Del Rosario, Timothy Lynar 5/12/2026

Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning

Oracle Poisoning attack class where adversaries corrupt knowledge graphs queried by AI agents at runtime via tool-use, causing incorrect reasoning.

Ax Chelsea Zou, Yiheng Yao, Selena She, Robert D. Hawkins 5/12/2026

CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs

CalBench evaluation environment for multi-agent LLM coordination through calendar scheduling with privacy constraints.

Ax Musa Cim, Poovaiah Palangappa, Miro Hodak, Ravi Dwivedula, Meena Arunachalam, Mahmut Taylan Kandemir 5/12/2026

Pretraining large language models with MXFP4

Controlled study of MXFP4 quantization in transformer pretraining, analyzing stability across forward propagation, activation gradients, and weight gradients.

Ax Anushree Berlia 5/12/2026

Fashion Florence: Fine-Tuning Florence-2 for Structured Fashion Attribute Extraction

Fine-tuned Florence-2 vision-language model using LoRA for extracting structured fashion attributes from clothing images as JSON.

Ax Cheol Young Park, Shou Matsumoto 5/12/2026

Free Energy Manifold: Score-Based Inference for Hybrid Bayesian Networks

Score-based conditional energy model for inference in hybrid Bayesian networks with discrete and continuous variables.

Ax Wenhao Liang, Lin Yue, Wei Emma Zhang, Miao Xu, Mingyu Guo, Olaf Maennel, Weitong Chen 5/12/2026

Probing Routing-Conditional Calibration in Attention-Residual Transformers

Study of routing traces in Attention-Residual transformers for post-hoc calibration, examining whether routing signals improve uncertainty estimates.

Ax Jingchuan Xiao, Xinyi Sui, Cihan Ruan 5/12/2026

Flag Varieties: A Geometric Framework for Deep Network Alignment

Unified geometric framework using flag varieties to theoretically explain alignment phenomena in deep networks including gradient flow and neural collapse.

Ax Danhui Zhang, Zhe Wang, Qing Qing, Jiarui Liu, Wentao Gao, Ziqi Xu, Mingliang Hou, Xikun Zhang, Renqiang Luo 5/12/2026

UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning

UFO framework for robust continual graph learning addressing noisy annotations in evolving graphs through flow-oriented methods.

Ax Chunxiao Wang 5/12/2026

Nautilus Compass: Black-box Persona Drift Detection for Production LLM Agents

Nautilus Compass: black-box persona drift detector for production LLM coding agents that tracks constraint violations and memory degradation over long sessions.

Ax Emile Anand, Abdullah Ateyeh, Xinyuan Cao, Max Dabagia 5/12/2026

Continuous Latent Contexts Enable Efficient Online Learning in Transformers

Method enabling efficient online learning in transformers through continuous latent contexts for multi-turn adaptation and feedback-driven decision making.

Ax Tsuyoshi Okita 5/12/2026

Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions

SVAR-FM framework for time series causal discovery using physics-based simulators to generate interventional data with flow matching.

Ax Ziyang Wang, Yue Zhang, Shoubin Yu, Ce Zhang, Zengqi Zhao, Jaehong Yoon, Hyunji Lee, Gedas Bertasius, Mohit Bansal 5/12/2026

EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding

EgoMemReason benchmark for evaluating memory and reasoning in ultra-long egocentric video understanding for embodied agents and smart glasses.

Ax Daniel Goldstein, Eugene Cheah 5/12/2026

Key-Value Means

Key-Value Means (KVM): O(N) attention mechanism supporting fixed or growing state for long-context transformers with subquadratic prefill performance.

Ax Xia Hu, Zhenrui Yue, Brian Potetz, Howard Zhou, Leonidas Guibas, Chun-Ta Lu, Zhicheng Wang 5/12/2026

The Cartesian Shortcut: Re-evaluate Vision Reasoning in Polar Coordinate Space

Identifies 'Cartesian Shortcut' vulnerability in vision reasoning benchmarks where MLLMs exploit grid-based layouts through explicit coordinate discretization.

Ax Eslam Zaher, Maciej Trzaskowski, Quan Nguyen, Fred Roosta 5/12/2026

The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws

Theoretical analysis explaining why sparse autoencoders (SAEs) show layerwise scaling variations through manifold geometry, advancing understanding of activation space structure.

Ax Sushrita Rakshit, Hanwen Zhang, Hua Shen 5/12/2026

Pseudo-Deliberation in Language Models: When Reasoning Fails to Align Values and Actions

VALDI benchmark demonstrating 'Pseudo-Deliberation' failure mode where LLMs show reasoning without behavioral alignment, revealing value-action gaps.

Ax Rong Shan, Te Gao, Hang Zheng, Yunjia Xi, Jiachen Zhu, Zeyu Zheng, Yong Yu, Weinan Zhang, Jianghao Lin 5/12/2026

Position: Academic Conferences are Potentially Facing Denominator Gaming Caused by Fully Automated Scientific Agents

Position paper identifying 'Agentic Denominator Gaming' threat where malicious actors deploy AI agents to flood academic conferences with low-quality papers exploiting stable acceptance rates.

Ax Yihang Zhang, Zimeng Huang, Ren Zhai, Yipeng Kang, Tonghan Wang 5/12/2026

NaiAD: Initiate Data-Driven Research for LLM Advertising

NaiAD dataset of 58,999 ad-embedded LLM responses with evaluation metrics for studying LLM-native advertising balancing user experience and platform revenue.

Ax Xuexiang Wen, Hang Yu, Linchao Zhu, Gaoang Wang 5/12/2026

Verifier-Free RL for LLMs via Intrinsic Gradient-Norm Reward

VIGOR: reward model for LLM reinforcement learning that eliminates need for external verifiers by using intrinsic gradient-norm signals, improving scalability to new tasks.

Ax Wu Li, Yigeng Zhou, Zesheng Shi, Yequan Wang, Min Zhang, Jing Li 5/12/2026

Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs

Self-training method using team-based self-play with dual adaptive weighting to improve LLM alignment while reducing dependency on human-labeled data and addressing synthetic data quality issues.

Ax Luan Zhang, Dandan Song, Zhijing Wu, Zhengyu Chen, Chen Zhang, Yuhang Tian, Huipeng Ma, Chenhao Li, Changzhi Zhou, Xudong Li, Shuhao Zhang 5/12/2026

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning

Inference-time pruning method reducing unnecessary tool calls in LLM reasoning systems while maintaining performance.

Ax Xurui Li, Zhiguo Gan, Jiaming Zhang, Zheng Liu, Diannan Lu 5/12/2026

Novel GPU Boruta algorithms for feature selection from high-dimensional data

GPU-accelerated Boruta feature selection algorithms for high-dimensional datasets with improved computational efficiency.

Ax Chengsong Huang, Haolin Liu, Tong Zheng, Runpeng Dai, Langlin Huang, Jinyuan Li, Zongxia Li, Zhepei Wei, Yu Meng, Jiaxin Huang 5/12/2026

G-Zero: Self-Play for Open-Ended Generation from Zero Data

Self-improvement framework for LLMs using intrinsic rewards without verifiers, enabling autonomous evolution on open-ended tasks.

Ax Urchade Zaratiana, Ash Lewis, George Hurn-Maloney 5/12/2026

GLiNER2-PII: A Multilingual Model for Personally Identifiable Information Extraction

Small 0.3B multilingual NER model for detecting 42 PII entity types across languages and document formats.

Ax Do\u{g}a\c{c} Eldenk, Payal Mohapatra, Yigitcan Comlek, Kaan Oktay, Hongyang Zhang, Stephen Xia 5/12/2026

Attention Drift: What Autoregressive Speculative Decoding Models Learn

Analysis of attention drift phenomenon in speculative decoding drafters showing attention shifts from prompt to generated tokens over speculation chains.

Ax Seth Karten, Joel Zhang, Tersoo Upaa Jr, Ruirong Feng, Wenzhe Li, Chengshuai Shi, Chi Jin, Kiran Vodrahalli 5/12/2026

Continual Harness: Online Adaptation for Self-Improving Foundation Agents

Continual Harness framework for online adaptation of embodied agents with iterative refinement, demonstrated on Pokemon gameplay.

Ax Wolfgang Grieskamp, Teng Zhang, Vineeth Kashyap 5/12/2026

Combining Mechanical and Agentic Specification Inference for Move

Specification inference tool for Move Prover combining weakest-precondition analysis with agentic Claude coding for reduced boilerplate.

Ax Yuna Haseyama, Tomoki Ito, Hiroki Sakaji, Itsuki Noda 5/12/2026

Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning

Tag-based few-shot example selection method for prompting LLMs to generate causal factors and preventive measures from medical incident reports.

Ax Terumi Chiba, Yang Luo, Ziyun Cui, Yongsheng Tong, Chao Zhang 5/12/2026

Speech-based Psychological Crisis Assessment using LLMs

LLM-based framework for automated psychological crisis assessment from speech for mental health hotline support.

Ax Xijun Wang, Zhaoyang Liu, Chenyuan Feng, Xiang Chen, Howard H. Yang, Tony Q. S. Quek 5/12/2026

Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN

Vision for unified memory paradigm for agentic AI in 6G radio access networks to bridge semantic bottleneck in disaggregated architectures.

Ax Xilai Ma, Liye Zhao, Weijun Yao, Haibing Di, Wenya Wang, Jing Li 5/12/2026

Personalizing LLMs with Binary Feedback: A Preference-Corrected Optimization Framework

C-BPO framework for personalizing LLMs using binary preference feedback with inter-user calibration.

Ax Puming Jiang, Meiyi Wang, Kelvin Lin, Ce Hao, Harold Soh 5/12/2026

Guided Streaming Stochastic Interpolant Policy

Guidance mechanism for stochastic interpolant robot policies enabling test-time steering without retraining for dynamic objectives.

Ax Xinyu Zhang, Zhicheng Dou, Deyang Li, Jianjun Tao, Shuo Cheng, Ruifeng Shi, Fangchao Liu, Enrui Hu, Yangkai Ding, Hongbo Wang, Qi Ye, Xuefeng Jin, Zhangchun Zhao 5/12/2026

Swarm Skills: A Portable, Self-Evolving Multi-Agent System Specification for Coordination Engineering

Portable specification for multi-agent coordination as self-improving skills distributed across agent frameworks.

Ax Hyundong Jin, Yo-Sub Han 5/12/2026

NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding

NCO plugin for constraining LLM decoding to prevent undesirable outputs like profanity and PII during generation without post-processing.

Ax Huilin Zhou, Jian Zhao, Yilu Zhong, Zhen Liang, Xiuyuan Chen, Yuchen Yuan, Tianle Zhang, Chi Zhang, Lan Zhang, Xuelong Li 5/12/2026

Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization

Metis framework reformulates LLM red teaming as policy optimization using adversarial MDPs for improved jailbreak discovery.

Ax Jianchao Zhao, Huoren Yang, Hu Yusong, Yuyang Gao, Qiguan Ou, Cong Wan, SongLin Dong, Zhiheng Ma, Yihong Gong 5/12/2026

Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs

Test-time adaptation framework for vision-language-action robotic models that uses successful execution history to improve closed-loop reliability.

Ax Tingshu Mou, Jiabo He, Renying Wang, Ce Liu, Hao Yang, Tiehua Zhang, Jingjing Chen, Xingjun Ma 5/12/2026

ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models

ViSRA framework for probing spatial reasoning in multi-modal LLMs through video-based agent without requiring model retraining.

Ax Donghyun Kim, Jaehyoung Park 5/12/2026

Think as Needed: Geometry-Driven Adaptive Perception for Autonomous Driving

Adaptive perception system for autonomous driving that dynamically allocates computation based on scene complexity.

Ax Manyu Li, Ruian He, Chenxi Ma, Weimin Tan, Bo Yan 5/12/2026

MicroWorld: Empowering Multimodal Large Language Models to Bridge the Microscopic Domain Gap with Multimodal Attribute Graph

MicroWorld framework enhances MLLMs for microscopy via multimodal attribute graphs to bridge domain gap with limited training data.

Ax Mateusz Cedro, Marcin Chlebus 5/12/2026

Scaling Vision Models Does Not Consistently Improve Localisation-Based Explanation Quality

Study investigating whether scaling vision models improves localization-based explanation quality across ResNet, DenseNet, ViT architectures.

Ax Sandeep Kumar, Yash Kamdar, Abid Hossain, Bharti Kumari, Tanik Saikh, Asif Ekbal 5/12/2026

When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews

NLP method for detecting and analyzing contradictions in scientific peer reviews using fine-grained analysis beyond sentence pairs.

Ax Farzad Nourmohammadzadeh Motlagh, Mehrdad Hajizadeh, Mehryar Majd, Pejman Najafi, Feng Cheng, Christoph Meinel 5/12/2026

When Prompts Become Payloads: A Framework for Mitigating SQL Injection Attacks in Large Language Model-Driven Applications

Security framework addressing SQL injection vulnerabilities in LLM-driven database interfaces through prompt-to-SQL translation.

Ax Guangli Chen, Dianzhao Li, Wenjian Zhong, Bangquan Xie, Ostap Okhrin 5/12/2026

MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning

MTA-RL framework combines transformers and reinforcement learning for autonomous driving with 3D scene understanding.