Ax Jiahao Ji, Tianyu Wang, Yeshu Li, Yushen Huo, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng 3/17/2026

Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens

Foundation model approach to auto-bidding in online advertising that generalizes across different bidding scenarios.

Ax Ruoxi Cheng, Haoxuan Ma, Teng Ma, Hongyi Zhang 3/17/2026

EcoAlign: An Economically Rational Framework for Efficient LVLM Alignment

EcoAlign framework balances safety, utility, and computational cost in aligning Large Vision-Language Models against jailbreak attacks.

Ax Moein Heidari, Ali Mehrabian, Mohammad Amin Roohi, Wenjin Chen, David J. Foran, Jasmine Grewal, Ilker Hacihaliloglu 3/17/2026

Echo-CoPilot: A Multiple-Perspective Agentic Framework for Reliable Echocardiography Interpretation

Echo-CoPilot: agentic framework combining multi-perspective workflow with knowledge-graph guidance for reliable echocardiography interpretation.

Ax Miru Hong, Minho Lee, Geonhee Jo, Jae-Hee So, Pascal Bauer, Sang-Ki Ko 3/17/2026

EventGPT: Capturing Player Impact from Team Action Sequences Using GPT-Based Framework

EventGPT applies GPT-based framework to forecast football player transfer success by analyzing team action sequences and tactical context.

Ax H M Quamran Hasan, Housam Khalifa Bashier, Jiayi Dai, Mi-Young Kim, Randy Goebel 3/17/2026

Reason2Decide: Rationale-Driven Multi-Task Learning

Reason2Decide: two-stage training framework for clinical decision support LLMs to generate predictions with self-aligned explanations.

Ax Shuhaib Mehri, Priyanka Kargupta, Tal August, Dilek Hakkani-T\"ur 3/17/2026

MultiSessionCollab: Learning User Preferences with Memory to Improve Long-Term Collaboration

MultiSessionCollab benchmark and method for long-term conversational agents to learn and leverage user preferences across multiple sessions.

Ax Beishui Liao 3/17/2026

Abstract Argumentation with Subargument Relations

Extends Dung's abstract argumentation framework with subargument relations and structural dependencies for formal argumentation systems.

Ax Minhua Lin, Hanqing Lu, Zhan Shi, Bing He, Rui Mao, Zhiwei Zhang, Zongyu Wu, Xianfeng Tang, Hui Liu, Zhenwei Dai, Xiang Zhang, Suhang Wang, Benoit Dumoulin, Jian Pei 3/17/2026

Position: Agentic Evolution is the Path to Evolving LLMs

Position paper arguing agentic evolution via deployment-time adaptation is needed to close the train-deploy gap in LLM systems.

Ax Chunxi Ji, Adnan Darwiche 3/17/2026

Circuit Representations of Random Forests with Applications to XAI

Method for compiling random forest classifiers into circuits for explainability and tractable computation of complete generalizations.

Ax Edward Y. Chang 3/17/2026

Right for the Wrong Reasons: Epistemic Regret Minimization for Causal Rung Collapse in LLMs

Formalizes causal Rung Collapse where LLMs learn spurious associations instead of causal relationships, proposes epistemic regret minimization solution.

Ax Idhant Gulati, Shivam Raval 3/17/2026

Narrow Fine-Tuning Erodes Safety Alignment in Vision-Language Agents

Study showing fine-tuning vision-language agents on narrow harmful datasets causes emergent misalignment generalizing across unrelated tasks and modalities.

Ax Xu Wan, Yansheng Wang, Wenqi Huang, Mingyang Sun 3/17/2026

Buffer Matters: Unleashing the Power of Off-Policy Reinforcement Learning in Large Language Model Reasoning

BAPO: off-policy reinforcement learning framework improving data efficiency in LLM post-training by selecting diverse training experiences.

Ax Tony Feng, Junehyuk Jung, Sang-hyun Kim, Carlo Pagano, Sergei Gukov, Chiang-Chiang Tsai, David Woodruff, Adel Javanmard, Aryan Mokhtari, Dawsen Hwang, Yuri Chervonyi, Jonathan N. Lee, Garrett Bingham, Trieu H. Trinh, Vahab Mirrokni, Quoc V. Le, Thang Luong 3/17/2026

Aletheia tackles FirstProof autonomously

Aletheia mathematics research agent solved 6 of 10 FirstProof challenge problems autonomously using Gemini 3 Deep Think reasoning.

Ax Gaoyuan Du, Amit Ahlawat, Xiaoyang Liu, Jing Wu 3/17/2026

A Framework for Assessing AI Agent Decisions and Outcomes in AutoML Pipelines

Framework for decision-level evaluation of AI agents in AutoML pipelines beyond outcome metrics, assessing intermediate reasoning steps.

Ax Yue Xu, Qian Chen, Zizhan Ma, Dongrui Liu, Wenxuan Wang, Xiting Wang, Li Xiong, Wenjie Wang 3/17/2026

Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions

Survey and framework for personalized LLM-powered agents that adapt to individual users over extended interactions with evaluation methods and research directions.

Ax Chen Bo Calvin Zhang, Christina Q. Knight, Nicholas Kruus, Jason Hausenloy, Pedro Medeiros, Nathaniel Li, Aiden Kim, Yury Orlovskiy, Coleman Breen, Bryce Cai, Jasper G\"otting, Andrew Bo Liu, Samira Nedungadi, Paula Rodriguez, Yannis Yiming He, Mohamed Shaaban, Zifan Wang, Seth Donoughe, Julian Michael 3/17/2026

LLM Novice Uplift on Dual-Use, In Silico Biology Tasks

Human study measuring whether LLM access improves novice performance on biology tasks versus internet-only baselines, with dual-use risk implications.

Ax Shiya Zhang, Yuhan Zhan, Ruixi Su, Ruihan Sun, Ziyi Song, Zhaohan Chen, Xiaofan Zhang 3/17/2026

EMPA: Evaluating Persona-Aligned Empathy as a Process

EMPA framework evaluates how well LLM dialogue agents maintain persona-aligned empathy across multi-turn conversations using process-oriented metrics.

Ax Sicheng Fan, Rui Wan, Yifei Leng, Gaoning Liang, Li Ling, Yanyi Shang, Dehan Kong 3/17/2026

WebChain: A Large-Scale Human-Annotated Dataset of Real-World Web Interaction Traces

WebChain: 31,725 human-annotated web interaction trajectories with 318k steps in multi-modal format for training and evaluating web agents.

Ax Hugh Xuechen Liu, K{\i}van\c{c} Tatar 3/17/2026

Grounding Machine Creativity in Game Design Knowledge Representations: Empirical Probing of LLM-Based Executable Synthesis of Goal Playable Patterns under Structural Constraints

LLMs used to synthesize executable game design patterns from high-level gameplay ideas, focusing on goal patterns and structural constraints in game creation.

Ax Changyi Li, Pengfei Lu, Xudong Pan, Fazl Barez, Min Yang 3/17/2026

AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation

Framework for automated frontier AI risk evaluation using executable code environments and LLM-based simulators.

Ax Hongqiang Lin, Zhenghui Fu, Weihao Tang, Pengfei Wang, Yiding Sun, Qixian Huang, Dongxu Zhang 3/17/2026

Robust Regularized Policy Iteration under Transition Uncertainty

Offline reinforcement learning method using robust policy optimization under distribution shift and transition uncertainty.

Ax Zuhao Zhang, Chengyue Yu, Yuante Li, Chenyi Zhuang, Linjian Mo, Shuai Li 3/17/2026

MiniAppBench: Evaluating the Shift from Text to Interactive HTML Responses in LLM-Powered Assistants

Benchmark evaluating LLM ability to generate interactive HTML-based MiniApps with dynamic interfaces and logic.

Ax Ann Yuan, Asma Ghandeharioun, Carter Blum, Alicia Machado, Jessica Hoffmann, Daphne Ippolito, Martin Wattenberg, Lucas Dixon, Katja Filippova 3/17/2026

Think Before You Lie: How Reasoning Leads to Honesty

Study showing reasoning and deliberation increase honesty in LLM responses on moral trade-off scenarios.

Ax Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang 3/17/2026

PACED: Distillation and Self-Distillation at the Frontier of Student Competence

Framework for efficient LLM distillation that focuses training on problems at frontier of student capability.

Ax Christopher Altman 3/17/2026

Detecting Intrinsic and Instrumental Self-Preservation in Autonomous Agents: The Unified Continuation-Interest Protocol

Protocol for detecting self-preservation behaviors in autonomous agents to distinguish intrinsic from instrumental objectives.

Ax Xing Zhang, Yanwei Cui, Guanghui Wang, Wei Qiu, Ziyuan Li, Fangwei Han, Yajing Huang, Hengzhi Qiu, Bing Zhu, Peiyang He 3/17/2026

Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework for Complex Query Resolution

Framework coordinating multiple LLM-based agents through verification loop for complex query resolution with DAG decomposition.

Ax Wayner Barrios, SouYoung Jin 3/17/2026

Beyond Final Answers: CRYSTAL Benchmark for Transparent Multimodal Reasoning Evaluation

Benchmark with 6,372 multimodal reasoning instances that evaluates LLM reasoning transparency through verifiable intermediate steps.

Ax I. de Zarz\`a, J. de Curt\`o, Jordi Cabot, Pietro Manzoni, Carlos T. Calafate 3/17/2026

Semantic Invariance in Agentic AI

Research on semantic invariance property of LLM-based autonomous agents under input variations to ensure stable reasoning.

Ax Guofeng Mei, Xiaoshui Huang, Juan Liu, Jian Zhang, Qiang Wu 3/17/2026

Unsupervised Point Cloud Pre-Training via Contrasting and Clustering

Unsupervised pre-training framework for point cloud representations using contrastive learning and clustering.

Ax Zichong Wang, Yang Zhou, David Lo, Wenbin Zhang 3/17/2026

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking

Method using counterfactual thinking to identify and address bias and fairness issues in machine learning models.

Ax Han Zhang, Qiguang Chen, Lok Ming Lui 3/17/2026

Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis

Neural network framework for handling geometrically distorted images in computer vision tasks.

Ax Adrian de Wynter, Xun Wang, Qilong Gu, Si-Qing Chen 3/17/2026

On Meta-Prompting

Research on automated prompt generation and optimization techniques for improving LLM performance through meta-prompting approaches.

Ax Mosam Dabhi, Laszlo A. Jeni, Simon Lucey 3/17/2026

3D-LFM: Lifting Foundation Model

Deep learning approach for 3D structure and camera reconstruction from 2D landmarks using foundation models.

Ax Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang 3/17/2026

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection

Method for detecting out-of-distribution samples in machine learning using density estimation with conjugate normalization.

Ax Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya 3/17/2026

Ayn: A Tiny yet Competitive Indian Legal Language Model Pretrained from Scratch

Ayn: domain-specific tiny language model pretrained from scratch for Indian legal NLP tasks as alternative to large LLMs.

Ax Yan Zhuang, Qi Liu, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen 3/17/2026

Survey of Computerized Adaptive Testing: A Machine Learning Perspective

Survey examining computerized adaptive testing through machine learning lens, covering personalized assessment methods across domains.

Ax Emanuele Zappala 3/17/2026

Projection Methods for Operator Learning and Universal Approximation

Universal approximation theorem and operator learning methods for continuous nonlinear operators in Banach spaces using orthogonal projections.

Ax Iv\'an Matas, Carmen Serrano, Francisca Silva, Amalia Serrano, Tom\'as Toledo-Pastrana, Bego\~na Acha 3/17/2026

MultiTask Learning AI system to assist BCC diagnosis with dual explanation

Multi-task learning AI system for basal cell carcinoma detection with dual explanation mechanisms for clinical transparency.

Ax Xiaochuan Gou, Ziyue Li, Tian Lan, Junpeng Lin, Zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang 3/17/2026

TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents

TraffiDent dataset aligning traffic dynamics and incident data across 16,972 nodes for understanding their interplay.

Ax Yisen Wang, Yichuan Mo, Dongxian Wu, Mingjie Li, Xingjun Ma, Zhouchen Lin 3/17/2026

On the Adversarial Transferability of Generalized "Skip Connections"

Analysis of how skip connections in deep networks enhance adversarial example transferability across models.

Ax Wentao Gao, Xiaojing Du, Wenjun Yu, Xiongren Chen, Yifan Guo, Feiyu Yang 3/17/2026

Deconfounded Time Series Forecasting: A Causal Inference Approach

Time series forecasting approach accounting for latent confounders using causal inference to improve prediction accuracy.

Ax Siyi Guo, Myrl G. Marmarelis, Fred Morstatter, Kristina Lerman 3/17/2026

Estimating Causal Effects of Text Interventions Leveraging LLMs

Causal inference method using LLMs to quantify effects of textual interventions on social systems from observational data.

Ax Senqiao Yang, Yukang Chen, Zhuotao Tian, Chengyao Wang, Jingyao Li, Bei Yu, Jiaya Jia 3/17/2026

VisionZip: Longer is Better but Not Necessary in Vision Language Models

VisionZip reduces computational costs in vision-language models by compressing redundant visual tokens while maintaining performance.

Ax Mengshi Qi, Jiaxuan Peng, Xianlin Zhang, Huadong Ma 3/17/2026

Towards Balanced Multi-Modal Learning in 3D Human Pose Estimation

Multi-modal learning approach addressing modality imbalance in 3D human pose estimation using RGB and non-intrusive sensors.

Ax Yicheng Wu, Tao Song, Zhonghua Wu, Jin Ye, Zongyuan Ge, Wenjia Bai, Zhaolin Chen, Jianfei Cai 3/17/2026

Virtual Full-stack Scanning of Brain MRI via Imputing Any Quantised Code

Virtual full-stack brain MRI scanning method that imputes missing acquisition modalities from incomplete MRI data using learned representations.

Ax Obed Korshie Dzikunu, Shadab Ahamed, Amirhossein Toosi, Xiaoxiao Li, Arman Rahmim 3/17/2026

Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images

Novel loss function (L1DFL) for detecting prostate cancer in PET/CT images using deep neural networks with voxel-weighted optimization.

Ax Zhengyan Sheng, Zhihao Du, Shiliang Zhang, Zhijie Yan, Liping Chen 3/17/2026

SyncSpeech: Efficient and Low-Latency Text-to-Speech based on Temporal Masked Transformer

SyncSpeech proposes Temporal Masked Transformer for efficient, low-latency text-to-speech combining benefits of autoregressive and non-autoregressive models.

Ax Gul Sheeraz, Qun Chen, Liu Feiyu, Zhou Fengjin 3/17/2026

Adaptive Deep Learning for Breast Cancer Subtype Prediction Via Misprediction Risk Analysis

Deep learning approach for breast cancer subtype prediction using adaptive methods to address class imbalance and domain shift challenges.

Ax Jiwoo Son, Zhikai Zhao, Federico Berto, Chuanbo Hua, Zhiguang Cao, Changhyun Kwon, Jinkyoo Park 3/17/2026

RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization

RRNCO addresses real-world deployment of neural combinatorial optimization for vehicle routing by handling asymmetric costs and edge-based features.

Ax Iago Alves Brito, Julia Soares Dollis, Fernanda Bufon F\"arber, Pedro Schindler Freire Brasil Ribeiro, Rafael Teixeira Sousa, Arlindo Rodrigues Galv\~ao Filho 3/17/2026

Integrating Personality into Digital Humans: A Review of LLM-Driven Approaches for Virtual Reality

Review of LLM-driven approaches for creating virtual agents with personality in VR environments using multimodal outputs.