Ax Yihan Xie, Sijing Li, Tianwei Lin, Zhuonan Wang, Chenglin Yang, Yu Zhong, Wenjie Yan, Wenqiao Zhang, Xiaogang Guo, Jun Xiao, Yueting Zhuang, Beng Chin Ooi 4/8/2026

HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal-Image Modeling and Understanding

HeartcareGPT suite with 400K ECG dataset enables multimodal medical LLMs for dual signal-image ECG understanding.

Ax Denis Rozumny, Jonathon Luiten, Numair Khan, Johannes Sch\"onberger, Peter Kontschieder 4/8/2026

BulletGen: Improving 4D Reconstruction with Bullet-Time Generation

BulletGen reconstructs 4D dynamic scenes from monocular video using generative models to complete unseen regions.

Ax Chaofan Pan, Xin Yang, Yanhua Li, Wei Wei, Tianrui Li, Bo An, Jiye Liang 4/8/2026

A Survey of Continual Reinforcement Learning

Survey of continual reinforcement learning covering sequential decision-making, generalization, and adaptation across dynamic tasks.

Ax Zihe Yan, Jiaping Gui, Zhuosheng Zhang, Gongshen Liu 4/8/2026

LaSM: Layer-wise Scaling Mechanism for Defending Pop-up Attack on GUI Agents

LaSM defends GUI agents against pop-up injection attacks using layer-wise scaling on multimodal LLMs for safer screen interaction.

Ax Joosung Lee, Cheonbok Park, Hwiyeol Jo, Jeonghoon Kim, Joonsuk Park, Kang Min Yoo 4/8/2026

Enhancing Hallucination Detection via Future Context

Framework for detecting LLM hallucinations in black-box generators by leveraging future context patterns.

Ax Phi Van Nguyen, Ngoc Huynh Trinh, Duy Minh Lam Nguyen, Phu Loc Nguyen, Quoc Long Tran 4/8/2026

Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow Matching

Flow matching approach for quantifying aleatoric uncertainty in medical image segmentation, modeling expert annotation variability.

Ax Wangsong Yin, Daliang Xu, Mengwei Xu, Gang Huang, Xuanzhe Liu 4/8/2026

ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference

ShadowNPU enables efficient on-device LLM inference by redesigning attention operator for NPU execution, improving privacy and performance.

Ax Francisco Caetano, Christiaan Viviers, Peter H. N. De With, Fons van der Sommen 4/8/2026

MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation

MedShift addresses domain gap between synthetic and real X-ray images using conditional transport for improved generalization to clinical settings.

Ax Junsong Li, Jie Zhou, Bihao Zhan, Yutao Yang, Qianjun Pan, Shilian Chen, Tianyu Huai, Xin Li, Qin Chen, Liang He 4/8/2026

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization

LifeAlign framework for lifelong LLM alignment across sequential tasks using memory-augmented preference optimization without catastrophic forgetting.

Ax Ziyi Liu 4/8/2026

A State-Update Prompting Strategy for Efficient and Robust Multi-turn Dialogue

Training-free prompt engineering strategy using state reconstruction and history reminders for efficient multi-turn LLM dialogue.

Ax Suhas Suresh Bharadwaj, Prerana Ramkumar 4/8/2026

Chiplet-Based RISC-V SoC with Modular AI Acceleration

Chiplet-based RISC-V SoC architecture with modular AI acceleration for edge AI devices with improved yield and efficiency.

Ax Xingyu Shen, Yingfa Chen, Zhen Leng Thai, Xu Han, Zhiyuan Liu, Maosong Sun 4/8/2026

StateX: Enhancing RNN Recall via Post-training State Expansion

StateX post-training method improves recall ability in RNNs and state-space models for long-context information retrieval.

Ax Hemang Jain, Shailender Goyal, Divyansh Pandey, Karthik Vaidhyanathan 4/8/2026

Dissecting Transformers: A CLEAR Perspective towards Green AI

Component-level energy assessment framework analyzing transformer efficiency to enable green AI development.

Ax Noor Islam S. Mohammad, Md Muntaqim Meherab 4/8/2026

Reveal-to-Revise: Explainable Bias-Aware Generative Modeling with Multimodal Attention

Explainable bias-aware generative framework combining multimodal attention, attribution methods, and iterative feedback for fair generation.

Ax Junhoo Lee, Seungyeon Kim, Nojun Kwak 4/8/2026

Unlocking the Potential of Diffusion Language Models through Template Infilling

Template Infilling conditioning strategy enables diffusion language models to handle flexible structural prompting beyond prefix-based generation.

Ax Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Zhongyuan Wang, Jichen Zhang, Shirui Pan, Xindong Wu 4/8/2026

Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning

Knowledge Reasoning Language Model unifies language models with knowledge graphs for inductive reasoning over unknown entities and relations.

Ax Qing Yang, Zhenghao Liu, Yangfan Du, Pengcheng Huang, Tong Xiao 4/8/2026

RLAIF-SPA: Structured AI Feedback for Semantic-Prosodic Alignment in Speech Synthesis

RLAIF-SPA uses structured AI feedback to improve emotional expressiveness and semantic-prosodic alignment in text-to-speech synthesis.

Ax Afrozah Nadeem, Mark Dras, Usman Naseem 4/8/2026

Fairness Evaluation and Inference Level Mitigation in LLMs

Methods for evaluating and mitigating fairness issues in LLMs at inference time to reduce harmful behaviors and drift.

Ax Youngjun Choi, Joonseong Kang, Sungjun Lim, Kyungwoo Song 4/8/2026

Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach

Eigen-Value method for efficient data valuation using eigenvalue-based approach, focusing on out-of-distribution robustness.

Ax Hao Huang, Geeta Chandra Raju Bethala, Shuaihang Yuan, Congcong Wen, Mengyu Wang, Anthony Tzes, Yi Fang 4/8/2026

One-shot Adaptation of Humanoid Whole-body Motion with Walking Priors

Data-efficient approach for adapting humanoid robot whole-body motion control from single motion examples using walking priors.

Ax Jay Mohta, Kenan Emir Ak, Gwang Lee, Dimitrios Dimitriadis, Yan Xu, Mingwei Shen 4/8/2026

Routing-Based Continual Learning for Multimodal Large Language Models

Routing-based architecture for multimodal LLMs enabling continual learning across sequential tasks while preventing catastrophic forgetting.

Ax Pawe{\l} Liskowski, Benjamin Han, Paritosh Aggarwal, Bowei Chen, Boxin Jiang, Nitish Jindal, Zihan Li, Aaron Lin, Kyle Schmaus, Jay Tayade, Weicheng Zhao, Anupam Datta, Nathan Wiegand, Dimitris Tsirogiannis 4/8/2026

Cortex AISQL: A Production SQL Engine for Unstructured Data

Snowflake's Cortex AISQL production engine integrates semantic operations into SQL for querying structured and unstructured data.

Ax Holger Maus, Paul Tschisgale, Fabian Kieser, Stefan Petersen, Peter Wulff 4/8/2026

Developing and Evaluating a Large Language Model-Based Automated Feedback System Grounded in Evidence-Centered Design for Supporting Physics Problem Solving

LLM-based automated feedback system for physics problem solving using evidence-centered design methodology.

Ax Changeun Kim, Younwoo Jeong, Bong-Gyu Jang 4/8/2026

Interpretable Deep Learning for Stock Returns: A Consensus-Bottleneck Asset Pricing Model

CB-APM applies deep learning with interpretability-by-design to stock market prediction using analyst consensus data.

Ax Oleksii Proniakin, Diego Fajardo, Ruslan Nazarenko, Razvan Marinescu 4/8/2026

Automatic Replication of LLM Mistakes in Medical Conversations

MedMistake pipeline automatically extracts and replicates LLM errors in medical conversations to create evaluation benchmarks.

Ax Tianxin Xie, Wentao Lei, Kai Jiang, Guanjie Huang, Pengfei Zhang, Chunhui Zhang, Fengji Ma, Haoyu He, Han Zhang, Jiangshan He, Jinting Wang, Linghan Fang, Lufei Gao, Orkesh Ablet, Peihua Zhang, Ruolin Hu, Shengyu Li, Weilin Lin, Xiaoyang Feng, Xinyue Yang, Yan Rong, Yanyun Wang, Zihang Shao, Zelin Zhao, Chenxing Li, Shan Yang, Wenfu Wang, Meng Yu, Dong Yu, Li Liu 4/8/2026

PhyAVBench: A Challenging Audio Physics-Sensitivity Benchmark for Physically Grounded Text-to-Audio-Video Generation

PhyAVBench benchmark evaluates physics-plausibility of audio in text-to-audio-video generation models.

Ax Ruikang Zhang, Shuo Wang, Qi Su 4/8/2026

Mechanistic Knobs in LLMs: Retrieving and Steering High-Order Semantic Features via Sparse Autoencoders

Framework using sparse autoencoders to identify and steer high-order semantic features in LLMs for reliable control of language generation behaviors.

Ax Yankai Jiang, Qiaoru Li, Binlu Xu, Haoran Sun, Chao Ding, Junting Dong, Yuxiang Cai, Xuhong Zhang, Jianwei Yin 4/8/2026

IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation

IBISAgent improves pixel-level visual reasoning in medical multimodal LLMs for biomedical object segmentation through enhanced training strategies.

Ax Haoming Xu, Ningyuan Zhao, Yunzhi Yao, Weihong Xu, Hongru Wang, Xinle Deng, Shumin Deng, Jeff Z. Pan, Huajun Chen, Ningyu Zhang 4/8/2026

Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency

Research paper analyzing LLM truthfulness under contextual perturbations, showing self-consistent facts can collapse under mild interference.

Ax Jingsheng Zheng, Jintian Zhang, Yujie Luo, Yuren Mao, Yunjun Gao, Lun Du, Huajun Chen, Ningyu Zhang 4/8/2026

Can We Predict Before Executing Machine Learning Agents?

Research paper proposing predictive reasoning to replace costly physical execution in ML agent workflows using internalized execution priors.

Ax Hyun Do Jung, Jungwon Choi, Hwiyoung Kim 4/8/2026

ReaMIL: Reasoning- and Evidence-Aware Multiple Instance Learning for Whole-Slide Histopathology

ReaMIL, a multiple instance learning approach for histopathology with reasoning-aware evidence selection under sparsity constraints.

Ax Xiangchen Li, Jiakun Fan, Qingyuan Wang, Dimitrios Spatharakis, Saeid Ghafouri, Hans Vandierendonck, Deepu John, Bo Ji, Ali R. Butt, Dimitrios S. Nikolopoulos 4/8/2026

WISP: Waste- and Interference-Suppressed Distributed Speculative LLM Serving at the Edge via Dynamic Drafting and SLO-Aware Batching

WISP system for distributed LLM inference at the edge using dynamic drafting and SLO-aware batching to balance workload across networks.

Ax Naeem Paeedeh, Mahardhika Pratama, Ary Shiddiqi, Zehong Cao, Mukesh Prasad, Wisnu Jatmiko 4/8/2026

Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model

Cross-domain few-shot learning for hyperspectral image classification using mixup foundation models to reduce overfitting.

Ax Zhuohong Chen, Zhengxian Wu, Zirui Liao, Shenao Jiang, Hangrui Xu, Yang Chen, Chaokui Su, Xiaoyu Liu, Haoqian Wang 4/8/2026

R3G: A Reasoning--Retrieval--Reranking Framework for Vision-Centric Answer Generation

R3G framework for vision-centric visual question answering using reasoning, retrieval, and reranking to select and integrate relevant images.

Ax Fengxu Yang, Jack D. Evans 4/8/2026

QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities

QUASAR, a universal autonomous system integrating LLMs for atomistic simulation and materials science discovery with flexible tool-calling for production workflows.

Ax V\'ictor Yeste, Paolo Rosso 4/8/2026

Do Schwartz Higher-Order Values Help Sentence-Level Human Value Detection? A Study of Hierarchical Gating and Calibration

Study on hierarchical gating and calibration for human value detection from sentences using Schwartz higher-order categories.

Ax Lixiang Fan, Bohao Li, Tao Zou, Junchen Ye, Bowen Du 4/8/2026

Incident-Guided Spatiotemporal Traffic Forecasting

Deep learning and GNN methods for traffic forecasting that incorporate incident data as external disturbances to improve predictions.

Ax Mahmud Ashraf Shamim, Md Moshiur Rahman Raj, Mohamed Hibat-Allah, Paulo T Araujo 4/8/2026

Graph-Theoretic Analysis of Phase Optimization Complexity in Variational Wave Functions for Heisenberg Antiferromagnets

Graph-theoretic analysis of computational complexity in learning ground state phases of Heisenberg antiferromagnets using variational methods.

Ax Ehud Shapiro 4/8/2026

Implementing Grassroots Logic Programs with Multiagent Transition Systems and AI

Derives deterministic operational semantics for Grassroots Logic Programs (GLP), a multiagent concurrent logic programming language for serverless platforms.

Ax Baorong Shi, Bo Cui, Boyuan Jiang, Deli Yu, Fang Qian, Haihua Yang, Huichao Wang, Jiale Chen, Jianfei Pan, Jieqiong Cao, Jinghao Lin, Kai Wu, Lin Yang, Shengsheng Yao, Tao Chen, Xiaojun Xiao, Xiaozhong Ji, Xu Wang, Yijun He, Zhixiong Yang 4/8/2026

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs

MedXIAOHE, a medical multimodal foundation model with entity-aware continual pretraining, achieves state-of-the-art on clinical benchmarks.

Ax David Puertolas Merenciano, Ekaterina Vasyagina, Kevin Zhu, Javier Ferrando, Maheep Chaudhary 4/8/2026

Weight space Detection of Backdoors in LoRA Adapters

Method to detect backdoor attacks in LoRA adapters without test inputs by analyzing weight space, addressing security vulnerabilities in shared model repositories.

Ax Kihoon Son, Hyewon Lee, DaEun Choi, Yoonsu Kim, Tae Soo Kim, Yoonjoo Lee, John Joon Young Chung, HyunJoon Jung, Juho Kim 4/8/2026

"When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction

Study on human-agent co-creative collaboration patterns in shared workspaces, revealing capability gaps for concurrent interaction vs sequential delegation.

Ax Prerna Ravi, Om Gokhale, Suyash Fulay, Eugene Yi, Deb Roy, Michiel Bakker 4/8/2026

Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice

Agora platform uses LLMs with AI personas to teach civic competence and consensus-finding skills through deliberative democratic practice.

Ax Anupam Purwar, Aditya Choudhary 4/8/2026

MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings

MM-tau-p²: Persona-adaptive evaluation framework for multi-modal LLM agents with dual-control settings exposing user personality and behavior adaptation.

Ax Maria Rosaria Briglia, Simone Facchiano, Paolo Cursi, Alessio Sampieri, Emanuele Rodol\`a, Guido Maria D'Amely di Melendugno, Luca Franco, Fabio Galasso, Iacopo Masi 4/8/2026

Not All Latent Spaces Are Flat: Hyperbolic Concept Control

HyCon: Hyperbolic control mechanism for steering text-to-image models away from unsafe concepts using parallel transport instead of Euclidean adjustments.

Ax Francesco Pio Monaco, Elia Cunegatti, Flavio Vella, Giovanni Iacca 4/8/2026

Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization

Frequency-based data curation method for selecting calibration data to preserve LLM performance during post-training pruning and quantization.

Ax Zice Wang, Zhenyu Zhang 4/8/2026

Framing Effects in Independent-Agent Large Language Models: A Cross-Family Behavioral Analysis

Examines prompt framing effects on LLM decision-making in threshold voting tasks across model families under isolated, non-interactive settings.

Ax Dang Nguyen, Harvey Yiyun Fu, Peter West, Ari Holtzman, Chenhao Tan 4/8/2026

Moral Mazes in the Era of LLMs

HR Simulator: Game-based evaluation of LLMs navigating complex workplace social norms like giving feedback and rejecting requests appropriately.

Ax Drake Caraker, Bryan Arnold, David Rhoads 4/8/2026

First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution

Identifies first-mover bias in SHAP explanations from gradient boosting's sequential fitting causing attribution instability under multicollinearity.

Ax Abhinaba Basu, Pavan Chakraborty 4/8/2026

The illusion of reasoning: step-level evaluation reveals decorative chain-of-thought in frontier language models

Step-level faithfulness evaluation shows chain-of-thought reasoning in frontier LLMs is often decorative, post-hoc narrative rather than genuine reasoning.