Ax Xiangru Jian, Hao Xu, Wei Pang, Xinjian Zhao, Chengyu Tao, Qixin Zhang, Xikun Zhang, Chao Zhang, Guanzhi Deng, Alex Xue, Juan Du, Tianshu Yu, Garth Tarr, Linqi Song, Qiuzhuang Sun, Dacheng Tao 8d ago

FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios

Fine-grained benchmark evaluating multimodal LLMs on manufacturing scenarios.

Ax Qian Ma, Sarah Rajtmajer 8d ago

Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation

Privacy-preserving synthetic data generation using LLMs with differential privacy mechanisms.

Ax Ziyi Chen, Yasir Khan, Mengyuan Zhang, Cheng Peng, Mengxian Lyu, Yiyang Liu, Krishna Vaddiparti, Robert L Cook, Mattia Prosperi, Yonghui Wu 8d ago

Detecting HIV-Related Stigma in Clinical Narratives Using Large Language Models

LLM-based tool for identifying HIV-related stigma in clinical narratives.

Ax Bo Li, Shikun Zhang, Wei Ye 8d ago

Data Selection for Multi-turn Dialogue Instruction Tuning

Data selection framework for multi-turn dialogue instruction tuning addressing dataset noise and inconsistency.

Ax Benjamin L\'eger, Kazem Meidani, Christian Gagn\'e 8d ago

Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization

Genetic programming combined with latent space optimization for symbolic regression via neural encoders.

Ax Arth Singh 8d ago

Re-Mask and Redirect: Exploiting Denoising Irreversibility in Diffusion Language Models

Attack exploiting denoising irreversibility in diffusion language models to bypass safety alignment.

Ax Xinmiao Xiong, Bangya Liu, Hao Wang, Dayou Li, Nuo Chen, Andrew Feng, Mingyu Ding, Suman Banerjee, Yang Zhou, Zhiwen Fan 8d ago

Accelerating Transformer-Based Monocular SLAM via Geometric Utility Scoring

Optimization for geometric foundation models in monocular SLAM via efficient keyframe selection.

Ax Keyu Li, Jin Gao, Dequan Wang 8d ago

Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems

Empirical study measuring bias amplification in multi-agent systems topologies and feedback loops.

Ax Changi Hong, Yoonah Song, Hwayoung Park, Chaewoon Bang, Dayeon Gu, Do Hyun Lee, Hong Kook Kim 8d ago

PS-TTS: Phonetic Synchronization in Text-to-Speech for Achieving Natural Automated Dubbing

Text-to-speech synchronization method for automated dubbing with phonetic alignment.

Ax Peng Wang (The Chinese University of Hong Kong, Shenzhen), Yanqiao Zhu (X-LANCE Lab, Shanghai Jiao Tong University), Zixuan Jiang (Xi'an Jiaotong University), Qinyuan Chen (Fudan University), Xingjian Zhao (Fudan University), Xipeng Qiu (Fudan University), Wupeng Wang (Tongyi Fun Team, Alibaba Group), Zhifu Gao (Tongyi Fun Team, Alibaba Group), Xiangang Li (Tongyi Fun Team, Alibaba Group), Kai Yu (X-LANCE Lab, Shanghai Jiao Tong University), Xie Chen (X-LANCE Lab, Shanghai Jiao Tong University) 8d ago

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition

Interactive ASR system with semantic coherence evaluation and human-like correction mechanisms.

Ax Yuning Wang, Pol Suarez, Mathis Bode, Ricardo Vinuesa 8d ago

Physics-guided surrogate learning enables zero-shot control of turbulent wings

Physics-guided surrogate learning for turbulent flow control without heavy RL computational costs.

Ax Jingyu Zhang, Tianjian Li, William Jurayj, Hongyuan Zhan, Benjamin Van Durme, Daniel Khashabi 8d ago

Many-Tier Instruction Hierarchy in LLM Agents

Framework for managing hierarchical instruction conflicts in multi-source LLM agent environments.

Ax Julio Candanedo 8d ago

The Diffusion-Attention Connection

Theoretical connection between Transformers, diffusion maps, and magnetic Laplacians through Markov geometry.

Ax James K. Ruffle, Samia Mohinta, Chris Foulon, Mohamad Zeina, Zicheng Wang, Sebastian Brandner, Harpreet Hyare, Parashkev Nachev 8d ago

Fairboard: a quantitative framework for equity assessment of healthcare models

Framework for evaluating fairness and equity across patient subgroups in brain tumor segmentation models.

Ax Pankayaraj Pathmanathan, Furong Huang 8d ago

Deliberative Alignment is Deep, but Uncertainty Remains: Inference time safety improvement in reasoning via attribution of unsafe behavior to base model

Study of deliberative alignment for deeper safety in reasoning LLMs via attribution analysis.

Ax Hua-Dong Xiong (School of Psychological and Brain Sciences, Georgia Tech), Li Ji-An (Department of Psychology, New York University), Jiaqi Huang (Department of Cognitive Science, Indiana University Bloomington, Honda Research Institute), Robert C. Wilson (School of Psychological and Brain Sciences, Georgia Tech, Center of Excellence for Computational Cognition, Georgia Tech), Kwonjoon Lee (Honda Research Institute), Xue-Xin Wei (Departments of Neuroscience and Psychology, The University of Texas at Austin) 8d ago

Human-like Working Memory Interference in Large Language Models

Analysis of working memory limitations in LLMs and comparison with biological systems.

Ax Liu Xiao 8d ago

Belief-State RWKV for Reinforcement Learning under Partial Observability

RWKV-based RL approach with explicit belief state representation for partial observability problems.

Ax Dongmin Kim, Hoshinori Kanazawa, Yasuo Kuniyoshi 8d ago

Active Inference with a Self-Prior in the Mirror-Mark Task

Computational model using Transformer self-prior to simulate mirror self-recognition behavior without external rewards.

Ax Ming Lei, Christophe Baehr 8d ago

A Comparative Theoretical Analysis of Entropy Control Methods in Reinforcement Learning

Theoretical analysis comparing entropy regularization and covariance-based mechanisms for controlling policy collapse in RL-enhanced LLMs.

Ax Samah Fodeh, Ganesh Puthiaraju, Elyas Irankhah, Linhai Ma, Srivani Talakokkul, Afshan Khan, Sreeraj Ramachandran, Jordan Alpert, Sarah Schellhorn 8d ago

STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction

Framework for robust structured prediction using Tsallis reweighting and task-agnostic prompting with XML structure for group-robust fine-tuning.

Ax Vijay Lingam, Aditya Golatkar, Anwesan Pal, Ben Vo, Narayanan Sadagopan, Alessandro Achille, Jun Huan, Anoop Deoras, Stefano Soatto 8d ago

ExecTune: Effective Steering of Black-Box LLMs with Guide Models

Guide-Core Policies framework for black-box LLM agents where guide models generate structured strategies executed by core models reducing inference costs.

Ax Mainak Kundu, Catherine Chen, Rifatul Islam, Ismail Uysal, Ria Kanjilal 8d ago

Explainable Human Activity Recognition: A Unified Review of Concepts and Mechanisms

Review of explainable AI mechanisms for human activity recognition in healthcare, assistive living, and smart environments applications.

Ax Weijian Mai, Mu Nan, Yu Zhu, Jiahang Cao, Rui Zhang, Yuqin Dai, Chunfeng Song, Andrew F. Luo, Jiamin Wu 8d ago

NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity

Unified visual encoding and decoding framework from neural activity modeling consistency between brain stimulus prediction and reconstruction.

Ax Robin Young, Michael E. Van Nuland, E. Toby Kiers, Tom\'a\v{s} V\v{e}trovsk\'y, Petr Kohout, Petr Baldrian, Srinivasan Keshav 8d ago

Below-ground Fungal Biodiversity Can be Monitored Using Self-Supervised Learning Satellite Features

Self-supervised learning on satellite imagery predicting mycorrhizal fungal biodiversity at landscape scales for ecosystem monitoring.

Ax Jan Kirin 8d ago

Relational Preference Encoding in Looped Transformer Internal States

Analysis of preference encoding in looped transformer internal states using lightweight evaluator heads on RLHF dataset.

Ax Yi-Hao Peng, Samarth Das, Jeffrey P. Bigham, Jason Wu 8d ago

Efficient Personalization of Generative User Interfaces

Methods for personalizing generative user interfaces addressing subjective preferences through preference divergence analysis and sparse feedback.

Ax Halil Ibrahim Gulluk, Olivier Gevaert 8d ago

SemEnrich: Self-Supervised Semantic Enrichment of Radiology Reports for Vision-Language Learning

Self-supervised semantic enrichment method for medical vision-language datasets addressing reporting bias in radiology reports.

Ax Tyler Yang, Romal Mitr 8d ago

Improving Pediatric Emergency Department Triage with Modality Dropout in Late Fusion Multimodal EHR Models

Multimodal EHR model for pediatric emergency triage using modality dropout to improve generalizability across demographics.

Ax Micha{\l} Derezi\'nski, Xiaoyu Dong 8d ago

Last-Iterate Convergence of Randomized Kaczmarz and SGD with Greedy Step Size

Convergence analysis of randomized Kaczmarz and SGD with greedy step size proving O(1/t^3/4) last-iterate convergence rate.

Ax Joseph Liu, Nameer Hirschkind, Xiao Yu, Mahesh Kumar Nandwana 8d ago

Regularized Entropy Information Adaptation with Temporal-Awareness Networks for Simultaneous Speech Translation

Temporal-aware network improving simultaneous speech translation policy to balance quality and latency with temporal context awareness.

Ax Theo X. Olausson, Metod Jazbec, Xi Wang, Armando Solar-Lezama, Christian A. Naesseth, Stephan Mandt, Eric Nalisnick 8d ago

A Tale of Two Temperatures: Simple, Efficient, and Diverse Sampling from Diffusion Language Models

Sampling methods for diffusion language models balancing speed, quality, and diversity through tempered confidence-based remasking.

Ax Maryam Ahang, Todd Charter, Masoud Jalayer, Homayoun Najjaran 8d ago

A Hybrid Intelligent Framework for Uncertainty-Aware Condition Monitoring of Industrial Systems

Hybrid condition monitoring framework combining data-driven learning with physics-based insights for industrial systems reliability.

Ax Smita Deb, Shirin Panahi, Mulugeta Haile, Ying-Cheng Lai 8d ago

Vestibular reservoir computing

Physical reservoir computing inspired by biological vestibular system addressing hardware complexity with designed uncoupled topology.

Ax Renjini R. Nair (Microsoft), Damian K. Kowalczyk (Microsoft), Marco Gaudesi (Microsoft), Chhaya Methani (Microsoft) 8d ago

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production

Fine-tuning small language models for domain-specific code generation in production environments with strict latency requirements.

Ax James Nguyen 8d ago

From Recency Bias to Stable Convergence Block Kaczmarz Methods for Online Preference Learning in Matchmaking Applications

Kaczmarz-based preference learning algorithms for real-time matchmaking with stable convergence replacing recency-biased normalization.

Ax Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Yequan Zhao, Yupeng Su, Zi Yang, Zheng Zhang 8d ago

Muon$^2$: Boosting Muon via Adaptive Second-Moment Preconditioning

Extension of Muon optimizer reducing computational overhead in foundation model pre-training through adaptive second-moment preconditioning.

Ax Wei Liu, Anweshit Panda, Ujwal Pandey, Haven Cook, George M. Slota, Naigang Wang, Jie Chen, Yangyang Xu 8d ago

LoDAdaC: a unified local training-based decentralized framework with adaptive gradients and compressed communication

Decentralized learning framework combining adaptive gradients and compressed communication for federated settings with multiple local training steps.

Ax Kening Wang, Di Wen, Yufan Chen, Ruiping Liu, Junwei Zheng, Jiale Wei, Kailun Yang, Rainer Stiefelhagen, Kunyu Peng 8d ago

Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels

First benchmark for multi-source domain generalization in automatic sleep staging with noisy labels across institutions and devices.

Ax Chi Zhang, Jingpu Cheng, Zhixian Wang, Ping Liu 8d ago

Closed-Form Concept Erasure via Double Projections

Closed-form method for concept erasure in diffusion models using double projections without iterative optimization.

Ax Prakash Suman, Yanzhen Qu 8d ago

Cross-Validated Cross-Channel Self-Attention and Denoising for Automatic Modulation Classification

Cross-validated self-attention with denoising for automatic modulation classification under low signal-to-noise conditions.

Ax Jose Efraim Aguilar Escamilla, Haoyang Hong, Jiawei Li, Haoyu Zhao, Xuezhou Zhang, Sanghyun Hong, Huazheng Wang 8d ago

When Can You Poison Rewards? A Tight Characterization of Reward Poisoning in Linear MDPs

Characterizes necessity and sufficiency conditions for reward poisoning attacks in reinforcement learning with linear MDPs.

Ax Yujie Li, Jiuniu Wang, Mugen Peng, Guangzuo Li, Wenjia Xu 8d ago

Graph-RHO: Critical-path-aware Heterogeneous Graph Network for Long-Horizon Flexible Job-Shop Scheduling

Heterogeneous graph network with critical-path awareness for long-horizon flexible job-shop scheduling using rolling horizon optimization.

Ax Hongkang Li, Hancheng Min, Rene Vidal 8d ago

Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs

Theoretical analysis of why transformers learn optimal DDPM denoiser for multi-token Gaussian mixture models.

Ax Zunhai Su, Hengyuan Zhang, Wei Wu, Yifan Zhang, Yaxiu Liu, He Xiao, Qingyao Yang, Yuxuan Sun, Rui Yang, Chao Zhang, Keyu Fan, Weihao Ye, Jing Xiong, Hui Shen, Chaofan Tao, Taiqiang Wu, Zhongwei Wan, Yulei Qian, Yuchen Xie, Ngai Wong 8d ago

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation

Survey on attention sink phenomenon in transformers, covering utilization, interpretation, and mitigation strategies.

Ax Francesco Carlucci, Giovanni Pollo, Xiaying Wang, Massimo Poncino, Enrico Macii, Luca Benini, Sara Vinco, Alessio Burrello, Daniele Jahier Pagliari 8d ago

End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables

Automated DNN optimization for PPG-based blood pressure estimation on resource-constrained wearable devices.

Ax Yogesh Prasanna Kumar Rao, Tamas Keviczky, Raj Thilak Rajan 8d ago

Consensus-based Recursive Multi-Output Gaussian Process

Distributed consensus-based framework for recursive multi-output Gaussian processes in large-scale streaming settings.

Ax Ami Chopra, Supriya Bordoloi, Shyamanta M. Hazarika 8d ago

A Temporally Augmented Graph Attention Network for Affordance Classification

Temporally augmented graph attention network for affordance classification from EEG sequential data.

Ax Rui Lin, Zhenyu Jin, Guancheng Zhou, Xuyang Ge, Wentao Shu, Jiaxing Wu, Junxuan Wang, Zhengfu He, Junping Zhang, Xipeng Qiu 8d ago

Tracing the Thought of a Grandmaster-level Chess-Playing Transformer

Interprets internal computation of Leela Chess Zero transformer using sparse decomposition to explain grandmaster-level reasoning.

Ax Keivan Faghih Niresi, Christian M{\o}ller Jensen, Carsten Skovmose Kalles{\o}e, Rafael Wisniewski, Olga Fink 8d ago

Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks

Spatial-temporal graph neural networks for virtual metering in sparsely instrumented district heating networks.

Ax Yuto Omae, Kazuki Sakai, Yohei Kakimoto, Makoto Sasaki, Yusuke Sakai, Hirotaka Takahashi 8d ago

Wolkowicz-Styan Upper Bound on the Hessian Eigenspectrum for Cross-Entropy Loss in Nonlinear Smooth Neural Networks

Theoretical bounds on Hessian eigenspectrum for cross-entropy loss in nonlinear neural networks.