Ax Thierry Bossy, Julien Vignoud, Tahseen Rabbani, Juan R. Troncoso Pastoriza, Martin Jaggi 3/10/2026

Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs

Federated learning privacy research showing how LoRA-trained LLMs still memorize training data and proposes mitigation through gradient compression techniques.

Ax Huaqiu Li, Wang Zhang, Xiaowan Hu, Tao Jiang, Zikang Chen, Haoqian Wang 3/10/2026

Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single-Image Denoising

Self-supervised image denoising method using latent diffusion and structural representation prompts without paired training data.

Ax Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik Hamann, Hanghang Tong, Jingrui He 3/10/2026

Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative

Multimodal research integrating time-series data with contextual text using LLMs and Platonic Representation Hypothesis for unified temporal narratives.

Ax Takuya Matsuyama, Shinji Nishimoto, Yu Takagi 3/10/2026

LaVCa: LLM-assisted Visual Cortex Captioning

LLM-assisted method for interpreting neural population activity in visual cortex by generating captions that explain voxel response properties.

Ax Chengyin Xu, Kaiyuan Chen, Xiao Li, Ke Shen, Chenggang Li 3/10/2026

Unveiling Downstream Performance Scaling of LLMs: A Clustering-Based Perspective

Research on predicting LLM downstream task performance scaling, addressing emergence phenomena and uneven task difficulty patterns using clustering methods.

Ax Mohamed Elnoor, Kasun Weerakoon, Gershom Seneviratne, Jing Liang, Vignesh Rajagopal, Dinesh Manocha 3/10/2026

ViLAM: Distilling Vision-Language Reasoning into Attention Maps for Social Robot Navigation

ViLAM distills vision-language model reasoning into attention maps for socially compliant robot navigation via knowledge distillation.

Ax Yiyang Ling, Karan Owalekar, Oluwatobiloba Adesanya, Erdem B{\i}y{\i}k, Daniel Seita 3/10/2026

IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models

IMPACT uses vision-language models to plan robot motions that can safely make contact with objects in cluttered environments.

Ax Evan Chen, Run-Jun Zhan, Yan-Bai Lin, Hung-Hsuan Chen 3/10/2026

More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models

Study reveals persistent gender bias in LLMs through free-form storytelling evaluation across ten prominent models.

Ax Lang Cao, Renhong Chen, Yingtian Zou, Chao Peng, Huacong Xu, Yuxian Wang, Wu Ning, Qian Chen, Mofan Peng, Zijie Chen, Peishuo Su, Yitong Li 3/10/2026

More Bang for the Buck: Process Reward Modeling with Entropy-Driven Uncertainty

EDU-PRM is an entropy-driven process reward model for reasoning step segmentation without manual annotations, improving model training efficiency.

Ax Amr Alshatnawi, Remi Sampaleanu, David Liebovitz 3/10/2026

MediTools -- Medical Education Powered by LLMs

MediTools applies LLMs to enhance medical education by addressing workflow challenges and modernizing medical training.

Ax Chao-Han Huck Yang, Sreyan Ghosh, Qing Wang, Jaeyeon Kim, Hengyi Hong, Sonal Kumar, Guirui Zhong, Zhifeng Kong, S Sakshi, Vaibhavi Lokegaonkar, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha, Gunhee Kim, Jun Du, Rafael Valle, Bryan Catanzaro 3/10/2026

Multi-Domain Audio Question Answering Benchmark Toward Acoustic Content Reasoning

DCASE 2025 audio question answering benchmark spanning bioacoustics, soundscapes, and complex audio scenes for testing audio-language models.

Ax Hanyu Duan, Yi Yang, Ahmed Abbasi, Kar Yan Tam 3/10/2026

Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness

Ready2Unlearn is a training-time approach enabling machine learning models to efficiently unlearn specific data for privacy and security.

Ax Guangda Liu, Chengwei Li, Zhenyu Ning, Jing Lin, Yiwu Yao, Danning Ke, Minyi Guo, Jieru Zhao 3/10/2026

FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference

FreeKV improves LLM inference efficiency by optimizing KV cache retrieval for long context windows without significant accuracy loss.

Ax Zixuan Ke, Austin Xu, Yifei Ming, Xuan-Phi Nguyen, Ryan Chin, Caiming Xiong, Shafiq Joty 3/10/2026

MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision

MAS-ZERO automatically designs multi-agent systems with LLMs by discovering optimal agent roles and communication protocols without manual supervision.

Ax Guanghe Li, Junming Zhao, Shengjie Wang, Yang Gao 3/10/2026

EasyInsert: A Data-Efficient and Generalizable Insertion Policy

EasyInsert is a data-efficient robotic insertion policy that generalizes across cluttered environments and novel objects without CAD models.

Ax Mohamed A. Mohamed, Kateryna Nekhomiazh, Vedant Vyas, Marcos M. Jose, Andrew Patterson, Marlos C. Machado 3/10/2026

The Cell Must Go On: Agar.io for Continual Reinforcement Learning

Agar.io-based benchmark environment for evaluating continual reinforcement learning agents that adapt to changing task conditions over time.

Ax Sandra H\"oltervennhoff, Jonas Ricker, Maike M. Raphael, Charlotte Schwedes, Rebecca Weil, Asja Fischer, Thorsten Holz, Lea Sch\"onherr, Sascha Fahl 3/10/2026

"That's another doom I haven't thought about": A User Study on AI Labels as a Safeguard Against Image-Based Misinformation

User study examining effectiveness of AI-generated content labels in reducing user susceptibility to AI-based image misinformation.

Ax Shiying Duan, Pei Ren, Nanxiang Jiang, Zhengping Che, Jian Tang, Zhaoxin Fan, Yifan Sun, Wenjun Wu 3/10/2026

RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks

RoboPARA is an LLM-driven framework for dual-arm robot task planning that optimizes parallelism across tasks using large language models.

Ax Minhyuk Seo, Taeheon Kim, Hankook Lee, Jonghyun Choi, Tinne Tuytelaars 3/10/2026

Co-LoRA: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients

Co-LoRA federated learning framework for personalizing heterogeneous multi-modal models across clients without privacy risks.

Ax Emanuele Musumeci, Michele Brienza, Francesco Argenziano, Abdel Hakim Drid, Vincenzo Suriani, Daniele Nardi, Domenico D. Bloisi 3/10/2026

Context Matters! Relaxing Goals with LLMs for Feasible 3D Scene Planning

LLM-based 3D scene planner that relaxes goals with commonsense reasoning to generate feasible actions in complex environments.

Ax Zixuan Huang, Yikun Ban, Lean Fu, Xiaojie Li, Zhongxiang Dai, Jianxin Li, Deqing Wang 3/10/2026

Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization

Adaptive batch-wise sample scheduling for Direct Preference Optimization of LLMs accounting for model state evolution during training.

Ax Junjie Zhang, Guozheng Ma, Shunyu Liu, Haoyu Wang, Jiaxing Huang, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao 3/10/2026

A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models

Motivation-enhanced reinforcement learning framework for efficient reasoning model finetuning with verifiable rewards on complex tasks.

Ax Shuhaib Mehri, Xiaocheng Yang, Takyoung Kim, Gokhan Tur, Shikib Mehri, Dilek Hakkani-T\"ur 3/10/2026

Goal Alignment in LLM-Based User Simulators for Conversational AI

User Goal Alignment framework addressing LLM-based user simulators' inability to maintain goal-oriented behavior in multi-turn conversations.

Ax Shifeng Xie, Vasilii Feofanov, Ambroise Odonnat, Lei Zan, Marius Alonso, Jianfeng Zhang, Themis Palpanas, Lujia Pan, Keli Zhang, Ievgen Redko 3/10/2026

CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data

CauKer algorithm for pre-training time series foundation models using causally-generated synthetic data for sample efficiency.

Ax Ziheng Sun, Qi Feng, Lehao Lin, Chris Ding, Jicong Fan 3/10/2026

GraphProp: Training the Graph Foundation Models using Graph Properties

Graph foundation models trained on graph properties for improved cross-domain generalization in graph classification tasks.

Ax Yun Wang, Long Zhang, Jingren Liu, Jiaqi Yan, Zhanjie Zhang, Jiahao Zheng, Ao Ma, Run Ling, Xun Yang, Dapeng Wu, Xiangyu Chen, Xuelong Li 3/10/2026

Video-EM: Event-Centric Episodic Memory for Long-Form Video Understanding

Video-LLM framework using event-centric episodic memory to handle long-form video understanding beyond context window limits.

Ax Yucong Zhang, Juan Liu, Ming Li 3/10/2026

ECHO: Frequency-aware Hierarchical Encoding for Variable-length Signals

Foundation model for industrial sensor signals with frequency-aware hierarchical encoding supporting arbitrary sampling rates.

Ax Han Qi, Changhe Chen, Heng Yang 3/10/2026

Compose by Focus: Scene Graph-based Atomic Skills

Robotic skill composition using scene graphs for generalist robots to solve complex tasks with distribution shift robustness.

Ax Wei-Teng Chu, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi 3/10/2026

Efficient Construction of Implicit Surface Models From a Single Image for Motion Generation

Single-image implicit surface reconstruction for robotics obstacle avoidance and motion generation.

Ax Alakh Sharma, Gaurish Trivedi, Kartikey Singh Bhandari, Yash Sinha, Dhruv Kumar, Pratik Narang, Jagat Sesh Challa 3/10/2026

Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Reinforcement Learning

Surrogate-free multi-agent reinforcement learning framework using generative models instead of explicit policy populations.

Ax Giovanni Minelli, Giulio Turrisi, Victor Barasuol, Claudio Semini 3/10/2026

CroSTAta: Cross-State Transition Attention Transformer for Robotic Manipulation

Transformer architecture using cross-state transition attention for robust robotic manipulation from demonstrations.

Ax He Zhang, Anzhou Zhang, Jian Dai 3/10/2026

FOR-Prompting: From Objection to Revision via an Asymmetric Prompting Protocol

Prompting protocol combining objection-raising and revision mechanisms to improve LLM reasoning and self-correction.

Ax Ruohao Guo, Afshin Oroojlooy, Roshan Sridhar, Miguel Ballesteros, Alan Ritter, Dan Roth 3/10/2026

Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks

Multi-turn red-teaming approach using tree-based dialogue and reinforcement learning for discovering LLM vulnerabilities.

Ax Yilong Li, Shuai Zhang, Yijing Zeng, Hao Zhang, Xinmiao Xiong, Jingyu Liu, Pan Hu, Suman Banerjee 3/10/2026

Tiny but Mighty: A Software-Hardware Co-Design Approach for Efficient Multimodal Inference on Battery-Powered Small Devices

Hardware-software co-design framework for efficient multimodal model inference on battery-powered edge devices.

Ax Meng Tong, Yuntao Du, Kejiang Chen, Weiming Zhang, Ninghui Li 3/10/2026

Membership Inference Attacks on Tokenizers of Large Language Models

Membership inference attacks on LLM tokenizers as privacy attack surface distinct from model attacks.

Ax Zonghuan Xu, Jiayu Li, Yunhan Zhao, Xiang Zheng, Xingjun Ma, Yu-Gang Jiang 3/10/2026

DropVLA: An Action-Level Backdoor Attack on Vision-Language-Action Models

Backdoor attack on vision-language-action models demonstrating action-level behavioral manipulation vulnerabilities.

Ax Hang Liu, Yuman Gao, Sangli Teng, Yufeng Chi, Yakun Sophia Shao, Zhongyu Li, Maani Ghaffari, Koushil Sreenath 3/10/2026

Ego-Vision World Model for Humanoid Contact Planning

World model and MPC framework for humanoid robot contact planning combining learned representations with sampling-based control.

Ax Yi Zhang, Bolin Ni, Xin-Sheng Chen, Heng-Rui Zhang, Yongming Rao, Houwen Peng, Qinglin Lu, Han Hu, Meng-Hao Guo, Shi-Min Hu 3/10/2026

Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs

Open-source corpus and tools for training fully open multimodal LLMs with improved data quality and reasoning.

Ax Nikolaus Howe, Micah Carroll 3/10/2026

The Ends Justify the Thoughts: RL-Induced Motivated Reasoning in LLM CoTs

Study on unintended reasoning behaviors in reinforcement-learning-trained LLMs and chain-of-thought monitoring.

Ax Yuyang Hong, Qi Yang, Tao Zhang, Zili Wang, Zhaojin Fu, Kun Ding, Bin Fan, Shiming Xiang 3/10/2026

Taming Modality Entanglement in Continual Audio-Visual Segmentation

Continual learning method for audio-visual segmentation addressing modality entanglement in sequential tasks.

Ax Pengxiang Cai, Zihao Gao, Wanchen Lian, Jintai Chen 3/10/2026

Reinforcing Numerical Reasoning in LLMs for Tabular Prediction via Structural Priors

Framework enabling LLMs to perform tabular prediction via structural priors and reasoning-focused optimization.

Ax Kai Zeng, Zhanqian Wu, Kaixin Xiong, Xiaobao Wei, Xiangyu Guo, Zhenxin Zhu, Kalok Ho, Lijun Zhou, Bohan Zeng, Ming Lu, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Wentao Zhang 3/10/2026

Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks

Evaluates driving world models as synthetic data generators for autonomous vehicle perception tasks.

Ax Haotian Zhou, Xiaole Wang, He Li, Zhuo Qi, Jinrun Yin, Haiyu Kong, Jianghuan Xu, Huijing Zhao 3/10/2026

LagMemo: Language 3D Gaussian Splatting Memory for Multi-modal Open-vocabulary Multi-goal Visual Navigation

Navigation system using 3D Gaussian Splatting memory for multi-modal visual goal navigation in robotics.

Ax Edouard Lansiaux, Antoine Simonet, Eric Wiel 3/10/2026

SwiftEmbed: Ultra-Fast Text Embeddings via Static Token Lookup for Real-Time Applications

SwiftEmbed: production text embedding system achieving 1.12ms latency and 50k req/s using static token lookup in Rust.

Ax Marcus Hoerger, Muhammad Sudrajat, Hanna Kurniawati 3/10/2026

Vectorized Online POMDP Planning

Research on vectorized online POMDP planning for autonomous robot decision-making under partial observability with parallelization.

Ax Mohd Ruhul Ameen, Akif Islam 3/10/2026

Detecting AI-Generated Images via Diffusion Snap-Back Reconstruction: A Forensic Approach

Research on detecting AI-generated images via diffusion model snap-back reconstruction forensics. Addresses Stable Diffusion and DALL-E detection.

Ax Farjana Aktar, Mohd Ruhul Ameen, Akif Islam, Md Ekramul Hamid 3/10/2026

Balancing Interpretability and Performance in Motor Imagery EEG Classification: A Comparative Study of ANFIS-FBCSP-PSO and EEGNet

Comparative study of interpretable fuzzy reasoning vs deep learning for motor-imagery EEG classification in brain-computer interfaces.

Ax Song Gao, Songyang Zhang, Shusen Jing, Shuai Zhang, Xiangwei Zhou, Yue Wang, Zhipeng Cai 3/10/2026

Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing

Research paper on federated learning of mixture-of-experts models for mobile edge computing and resource-constrained devices.

Ax Jiedong Jiang, Wanyi He, Yuefeng Wang, Guoxiong Gao, Yongle Hu, Jingting Wang, Nailin Guan, Peihao Wu, Chunbo Dai, Liang Xiao, Bin Dong 3/10/2026

FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels

FATE benchmark series for formal algebra theorem proving at multiple difficulty levels. Evaluates LLM capabilities on mathematical reasoning beyond contest problems.

Ax Minsuk Jang, Hyunseo Jeong, Minseok Son, Changick Kim 3/10/2026

Detecting AI-Generated Images via Contextual Anomaly Estimation in Masked AutoEncoders

Detection method for AI-generated images using contextual anomaly estimation in masked autoencoders. Extends DetectGPT approach from text to vision domain.