Ax Monishwaran Maheswaran, Leon Lakhani, Zhongzhu Zhou, Shijia Yang, Junxiong Wang, Coleman Hooper, Yuezhou Hu, Rishabh Tiwari, Jue Wang, Harman Singh, Qingyang Wu, Yuqing Jian, Ce Zhang, Kurt Keutzer, Tri Dao, Xiaoxia Wu, Ben Athiwaratkun, James Zou, Chenfeng Xu 4/13/2026

Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution

Multi-model orchestration framework for verifier-free evolutionary inference balancing diversity and computational efficiency.

Ax Boer Zhang, Mingyan Wu, Dongzhuoran Zhou, Yuqicheng Zhu, Wendong Fan, Puzhen Zhang, Zifeng Ding, Guohao Li, Yuan He 4/13/2026

EigentSearch-Q+: Enhancing Deep Research Agents with Structured Reasoning Tools

Query and evidence processing tools (Q+) to improve deep research agents with structured reasoning, reducing redundant exploration.

Ax Arda Y\"uksel, Gabriel Thiem, Susanne Walter, Patrick Felka, Gabriela Alves Werb, Ivan Habernal 4/13/2026

MONETA: Multimodal Industry Classification through Geographic Information with Multi Agent Systems

Multi-agent system for automated industry classification using multimodal data and geographic information without manual annotation.

Ax Ajsal Shereef Palattuparambil, Thommen George Karimpanal, Santu Rana 4/13/2026

ASPECT:Analogical Semantic Policy Execution via Language Conditioned Transfer

RL agents using language-conditioned transfer for zero-shot generalization to new tasks via analogical semantic policies.

Ax Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao 4/13/2026

Task-Distributionally Robust Data-Free Meta-Learning

Data-free meta-learning from pre-trained models without original training data, analyzing robustness and failure modes.

Ax Jung-Hoon Cho, Sirui Li, Jeongyun Kim, Cathy Wu 4/13/2026

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy

Transfer learning framework for optimizing traffic through real-time driving advisories to human drivers in connected and automated vehicle systems.

Ax Wei Duan, Jie Lu, Junyu Xuan 4/13/2026

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning

Multi-agent reinforcement learning approach using coordination graphs to model higher-order group relationships beyond pairwise agent interactions.

Ax Lorenzo Mannocci, Michele Mazza, Anna Monreale, Maurizio Tesconi, Stefano Cresci 4/13/2026

Detection and Characterization of Coordinated Online Behavior: A Survey

Survey of methods for detecting and characterizing coordinated online behavior in social media, from community dynamics to disinformation campaigns.

Ax Sehun Kim 4/13/2026

Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture

Self-supervised learning approach for ECG signal representation using masked modeling from unlabeled medical data.

Ax Sajib Kumar Saha Joy, Arman Hassan Mahy, Meherin Sultana, Azizah Mamun Abha, MD Piyal Ahmmed, Yue Dong, G M Shahariar 4/13/2026

Mitigating Extrinsic Gender Bias for Bangla Classification Tasks

Investigation of gender bias in Bangla language models with benchmark datasets for sentiment analysis, toxicity detection, hate speech, and sarcasm.

Ax Yangyang Li, Daqing Liu, Wu Liu, Allen He, Xinchen Liu, Yongdong Zhang, Guoqing Jin 4/13/2026

OmniPrism: Learning Disentangled Visual Concept for Image Generation

Method for learning disentangled visual concepts in image generation to improve multi-aspect creative generation while reducing concept confusion.

Ax Muhammad Umair Haider, Hammad Rizwan, Hassan Sajjad, Peizhong Ju, A. B. Siddique 4/13/2026

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution

Analysis of polysemanticity in LLMs revealing neurons exhibit multiple semantic meanings, challenging discrete neuron attribution for model interpretation.

Ax Jinghua Piao, Yuwei Yan, Jun Zhang, Nian Li, Junbo Yan, Xiaochong Lan, Zhihong Lu, Zhiheng Zheng, Jing Yi Wang, Di Zhou, Chen Gao, Fengli Xu, Fang Zhang, Ke Rong, Jun Su, Yong Li 4/13/2026

AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

Research on large-scale simulation of LLM-driven generative agents for studying human behavior and social dynamics through computational approaches.

Ax Hao-Xiang Xu, Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang, Jia-Chen Gu 4/13/2026

Constraining Sequential Model Editing with Editing Anchor Compression

Sequential model editing method with editing anchor compression to constrain parameter drift and maintain LLM general abilities during knowledge updates.

Ax Junhao Liu, Haonan Yu, Zhenyu Yan, Xin Zhang 4/13/2026

Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models

Budget-friendly proxy model framework for post-hoc interpretability of LLMs, enabling actionable explanations for prompt engineering and optimization.

Ax Jing-En Huang, I-Sheng Fang, Tzuhsuan Huang, Yu-Lun Liu, Chih-Yu Wang, Jun-Cheng Chen 4/13/2026

Gen-n-Val: Agentic Image Data Generation and Validation

Agentic framework for synthetic image data generation and validation addressing data scarcity and label noise in vision tasks like detection and segmentation.

Ax Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani 4/13/2026

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations

Safety enhancement for medical vision-language models using synthetic demonstrations to improve rejection of harmful clinical queries.

Ax Alexander Gambashidze, Li Pengyi, Matvey Skripkin, Andrey Galichin, Anton Gusarov, Konstantin Sobolev, Andrey Kuznetsov, Ivan Oseledets 4/13/2026

Listener-Rewarded Thinking in VLMs for Image Preferences

Listener-rewarded thinking approach using reinforcement learning to train robust reward models for generative text-to-image and video models.

Ax Haoyu Zhang, Shihao Zhang, Ian Colbert, Rayan Saab 4/13/2026

Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos

Theoretical analysis providing quantitative guarantees for post-training quantization methods OPTQ and Qronos applied to LLMs and neural networks.

Ax Jianxiang He, Meisheng Hong, Jungang Li, Weiyu Guo, Xuming Hu, Hui Xiong 4/13/2026

VSI: Visual Subtitle Integration for Keyframe Selection to enhance Long Video Understanding

Keyframe selection method using visual subtitles for improved long video understanding with multimodal LLMs under context length constraints.

Ax Artzai Picon, Itziar Eguskiza, Daniel Mugica, Javier Romero, Carlos Javier Jimenez, Eric White, Gabriel Do-Lago-Junqueira, Christian Klukas, Ramon Navarra-Mestre 4/13/2026

Mitigating Domain Drift in Multi Species Segmentation with DINOv2: A Cross-Domain Evaluation in Herbicide Research Trials

DINOv2-based segmentation framework for plant species and damage detection in herbicide trials, addressing domain drift across real-world conditions.

Ax Sebastian Lubos, Alexander Felfernig, Damian Garber, Gerhard Leitner, Julian Schwazer, Manuel Henrich 4/13/2026

Investigating Multimodal Large Language Models to Support Usability Evaluation

Investigation of multimodal LLMs for automating usability evaluation of user interfaces by analyzing visual UI context and textual instructions.

Ax Rongguang Ye, Ming Tang, Edith C. H. Ngai 4/13/2026

On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs

Configuration-aware LoRA adaptation for efficient fine-tuning of quantized LLMs on heterogeneous edge devices with privacy preservation.

Ax Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok 4/13/2026

Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search

Monte Carlo Tree Search approach for multi-attribute controllable summarization without per-attribute fine-tuning, enabling flexible constraint satisfaction.

Ax Han Zhou, Jinjin Cao, Liyuan Ma, Xueji Fang, Guo-jun Qi 4/13/2026

Traj2Action: A Co-Denoising Framework for Trajectory-Guided Human-to-Robot Skill Transfer

Co-denoising framework for transferring manipulation skills from human videos to robots by bridging morphological differences.

Ax Zhepeng Cen, Haolin Chen, Shiyu Wang, Zuxin Liu, Zhiwei Liu, Jielin Qiu, Ding Zhao, Silvio Savarese, Caiming Xiong, Huan Wang, Weiran Yao 4/13/2026

Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels

Automated pipeline for scaling reinforcement learning datasets to pretraining scale, addressing data bottleneck in RL for LLM training.

Ax Shaokai Wu, Yanbiao Ji, Qiuchang Li, Zhiyi Zhang, Qichen He, Wenyuan Xie, Guodong Zhang, Bayram Bayramli, Yue Ding, Hongtao Lu 4/13/2026

Dejavu: Towards Experience Feedback Learning for Embodied Intelligence

Post-deployment learning framework for Vision-Language-Action policies using retrieved execution memories to improve embodied agent performance.

Ax Yuquan Xue, Guanxing Lu, Zhenyu Wu, Chuanrui Zhang, Bofang Jia, Zhengyi Gu, Ziwei Wang 4/13/2026

RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation

Data augmentation framework for robotic manipulation using Vision-Language-Action models to improve learning from limited demonstration datasets.

Ax Taha Yasseri, Saeedeh Mohammadi 4/13/2026

How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison

Computational analysis comparing 17,790 articles between Grokipedia (AI-generated) and Wikipedia examining textual and structural biases.

Ax Seunghee Han, Yeonghun Kang, Taeun Bae, Junho Kim, Younghun Kim, Varinia Bernales, Alan Aspuru-Guzik, Jihan Kim 4/13/2026

EGMOF: Efficient Generation of Metal-Organic Frameworks Using a Hybrid Diffusion-Transformer Architecture

EGMOF: hybrid diffusion-transformer for metal-organic framework generation with inverse design capabilities for materials discovery.

Ax Dom\'icio Pereira Neto, Jo\~ao Correia, Penousal Machado 4/13/2026

Evolutionary Optimization Trumps Adam Optimization on Embedding Space Exploration

Inference-time optimization using evolutionary algorithms on prompt embeddings for diffusion model control without fine-tuning.

Ax Manan Suri, Puneet Mathur, Nedim Lipka, Franck Dernoncourt, Ryan A. Rossi, Dinesh Manocha 4/13/2026

Structured Uncertainty guided Clarification for LLM Agents

Structured uncertainty framework for LLM agents with tool-calling to generate principled clarifying questions for ambiguous user instructions.

Ax Zhirui Liu, Kaiyang Ji, Ke Yang, Jingyi Yu, Ye Shi, Jingya Wang 4/13/2026

Commanding Humanoid by Free-form Language: A Large Language Action Model with Unified Motion Vocabulary

Language-conditioned humanoid robot control using LLM with unified motion vocabulary for free-form command execution and embodied AI.

Ax Anik De, Abhirama Subramanyam Penamakuri, Rajeev Yadav, Aditya Rathore, Harshiv Shah, Devesh Sharma, Sagar Agarwal, Pravin Kumar, Anand Mishra 4/13/2026

Bharat Scene Text: A Novel Comprehensive Dataset and Benchmark for Indian Language Scene Text Understanding

Bharat Scene Text dataset and benchmark for Indian language scene text recognition addressing script diversity and font variations.

Ax Le Thien Phuc Nguyen, Zhuoran Yu, Samuel Low Yu Hang, Subin An, Jeongik Lee, Yohan Ban, SeungEun Chung, Thanh-Huy Nguyen, JuWan Maeng, Soochahn Lee, Yong Jae Lee 4/13/2026

See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models

AV-SpeakerBench: multimodal LLM benchmark with 3,212 questions evaluating audiovisual speech understanding and speaker-speech alignment in video.

Ax Melane Navaratnarajah, David A. Kelly, Hana Chockler 4/13/2026

Out-of-the-box: Black-box Causal Attacks on Object Detectors

Research on adversarial perturbations for object detectors using black-box attacks to expose vulnerabilities and understand attack mechanisms.

Ax Zayne Sprague, Jack Lu, Manya Wadhwa, Sedrick Keh, Mengye Ren, Greg Durrett 4/13/2026

SkillFactory: Self-Distillation For Learning Cognitive Behaviors

Research on self-distillation methods for teaching language models to leverage cognitive skills like verification and backtracking without base model exposure.

Ax Thao Nguyen, Sicheng Mo, Krishna Kumar Singh, Yilin Wang, Jing Shi, Nicholas Kolkin, Eli Shechtman, Yong Jae Lee, Yuheng Li 4/13/2026

Relational Visual Similarity

Research on relational visual similarity in computer vision showing how humans perceive analogical relationships beyond attribute similarity.

Ax Qiushi Han, David Simchi-Levi, Renfei Tan, Zishuo Zhao 4/13/2026

Multi-agent Adaptive Mechanism Design

Framework combining mechanism design and online learning for sequential mechanism design where principal learns agent beliefs while ensuring truthfulness.

Ax Zibo Zhao (Arizona State University), Yuanting Zha (ShanghaiTech University), Haipeng Zhang (ShanghaiTech University), Xingcheng Xu (Shanghai Artificial Intelligence Laboratory) 4/13/2026

The Two-Stage Decision-Sampling Hypothesis: Understanding the Emergence of Self-Reflection in RL-Trained LLMs

Mechanistic study of self-reflection emergence in RL-trained LLMs, proposing two-stage decision-sampling hypothesis to explain unified optimization producing distinct capabilities.

Ax Safal Shrestha, Anubhav Shrestha, Aadim Nepal, Minwu Kim, Keith Ross 4/13/2026

On the Limits of Layer Pruning for Generative Reasoning in Large Language Models

Analysis showing layer pruning of LLMs degrades generative reasoning tasks beyond surface degradation, causing loss of algorithmic capabilities.

Ax Bryan Sangwoo Kim, Jonghyun Park, Jong Chul Ye 4/13/2026

Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution

Method addressing prompt misguidance in diffusion-based super-resolution by using tiled prompts for localized semantic guidance.

Ax Indraveni Chebolu, Arnab Mallick, Harmesh Rana 4/13/2026

SPEAR: An Engineering Case Study of Multi-Agent Coordination for Smart Contract Auditing

Multi-agent framework for smart contract auditing using specialized agents for planning, execution, and recovery with coordination protocols.

Ax Eun Cheol Choi, Lindsay E. Young, Emilio Ferrara 4/13/2026

Overstating Attitudes, Ignoring Networks: LLM Biases in Simulating Misinformation Susceptibility

Study demonstrating LLM biases when simulating misinformation susceptibility, showing models overstate attitudes and ignore network effects present in humans.

Ax Prerna Ravi, Car\'umey Stevens, Beatriz Flamia Azevedo, Jasmine David, Brandon Hanks, Hal Abelson, Grace Lin, Emma Anderson 4/13/2026

Exploring Teachers' Perspectives on Using Conversational AI Agents for Group Collaboration

Qualitative study of 33 K12 teachers' perspectives on using conversational AI agents to scaffold group collaboration in classrooms.

Ax Zhaoyang Zhang, Shuli Jiang, Yantao Shen, Yuting Zhang, Dhananjay Ram, Shuo Yang, Zhuowen Tu, Wei Xia, Stefano Soatto 4/13/2026

Reinforcement-aware Knowledge Distillation for LLM Reasoning

Knowledge distillation method for distilling RL-trained LLMs with chain-of-thought reasoning into smaller student models while preserving reasoning capabilities.

Ax Yuan Wu, Zongxian Yang, Jiayu Qian, Songpan Gao, Guanxing Chen, Qiankun Li, Yu-An Huang, Zhi-An Huang 4/13/2026

Better Eyes, Better Thoughts: Why Vision Chain-of-Thought Fails in Medicine

Analysis showing chain-of-thought prompting underperforms direct answering in medical vision-language models due to perception bottlenecks in domain-specific tasks.

Ax Zhexi Lian, Haoran Wang, Xuerun Yan, Weimeng Lin, Xianhong Zhang, Yongyu Chen, Jia Hu 4/13/2026

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving

Parallel framework combining imitation and reinforcement learning for autonomous driving, addressing limitations of sequential fine-tuning approaches.

Ax Omkar Patil, Ondrej Biza, Thomas Weng, Karl Schmeckpeper, Wil Thomason, Xiaohan Zhang, Robin Walters, Nakul Gopalan, Sebastian Castro, Eric Rosen 4/13/2026

You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector

Method to improve pretrained generative robot policies by replacing sampled noise with optimized constant noise vectors for downstream reward optimization.

Ax Mengxian Lyu, Cheng Peng, Ziyi Chen, Mengyuan Zhang, Jieting Li Lu, Yonghui Wu 4/13/2026

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models

Mid-training adaptation strategy for LLMs to improve automatic summarization of radiology reports, exploring domain-specific pre-training approaches.