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.

Ax Robert Aufschl\"ager, Jakob Folz, Gautam Savaliya, Manjitha D Vidanalage, Michael Heigl, Martin Schramm 4/13/2026

Towards Context-Aware Image Anonymization with Multi-Agent Reasoning

CAIAMAR: multi-agent framework for context-aware image anonymization in street-level imagery using agentic reasoning.

Ax Haochuan Kevin Wang, Zechen Zhang 4/13/2026

Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers

Kill-chain canary methodology for tracking prompt injection attacks across multi-agent LLM systems with stage-level diagnostics.

Ax Hita Kambhamettu, Will Crichton, Sean Welleck, Harrison Goldstein, Andrew Head 4/13/2026

Explorable Theorems: Making Written Theorems Explorable by Grounding Them in Formal Representations

System for making mathematical theorems interactive by grounding LLM-generated explanations in formal representations enabling execution and stepping.

Ax Myra Cheng, Isabel Sieh, Humishka Zope, Sunny Yu, Lujain Ibrahim, Aryaman Arora, Jared Moore, Desmond Ong, Dan Jurafsky, Diyi Yang 4/13/2026

Verbalizing LLMs' assumptions to explain and control sycophancy

Framework for eliciting and verbalizing LLM assumptions to explain and mitigate sycophantic behavior in model outputs.

Ax Yi Zhou 4/13/2026

From Paper to Program: Accelerating Quantum Many-Body Algorithm Development via a Multi-Stage LLM-Assisted Workflow

Multi-stage LLM-assisted workflow for scientific algorithm development separating theory extraction, formal specification, and code generation.

Ax Cheol Woo Kim, Jai Moondra, Roozbeh Nahavandi, Andrew Perrault, Milind Tambe, Swati Gupta 4/13/2026

Many Preferences, Few Policies: Towards Scalable Language Model Personalization

Method for LLM personalization using a small portfolio of models capturing diverse user preferences without per-user models.

Ax Zequn Chen, Wesley J. Marrero 4/13/2026

Boosted Distributional Reinforcement Learning: Analysis and Healthcare Applications

Distributional reinforcement learning approach for decision-making in healthcare, accounting for uncertainty across heterogeneous populations.

Ax Jingwei Zuo, Xinze Feng, Zien Liu, Kaijian Wang, Fanjiang Ye, Ye Cao, Zhuang Wang, Yuke Wang 4/13/2026

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads

ALTO: system for adaptive LoRA hyperparameter tuning and orchestration across heterogeneous LLM fine-tuning workloads in multi-tenant environments.

Ax Yiquan Wu, Yuhang Liu, Yifei Liu, Ang Li, Siying Zhou, Kun Kuang, Fei Wu 4/13/2026

WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report

WisdomInterrogatory (LuWen): open-source Chinese legal language model built on Baichuan foundation model for legal domain applications.

Ax Xue Qin, Simin Luan, John See, Cong Yang, Zhijun Li 4/13/2026

Governed Capability Evolution for Embodied Agents: Safe Upgrade, Compatibility Checking, and Runtime Rollback for Embodied Capability Modules

System for safe capability evolution in embodied agents with compatibility checking and runtime rollback mechanisms.

Ax Seungjae Moon, Seunghyun Oh, Youngmin Ro 4/13/2026

OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation

Training-free open-vocabulary semantic segmentation framework (OV-Stitcher) leveraging pretrained vision-language models without additional training.