Isolater - Feed

Ax Kutay Tire, Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak 27d ago

Retrieval Augmented Time Series Forecasting

Retrieval-augmented generation applied to time-series foundation models for zero-shot forecasting across domains.

Ax Junhyeok Kang, Yooju Shin, Jae-Gil Lee 27d ago

VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting

VarDrop reduces computational cost in multivariate time series forecasting by eliminating variate token redundancy.

Ax Hammad Ayyubi, Junzhang Liu, Ali Asgarov, Zaber Ibn Abdul Hakim, Najibul Haque Sarker, Zhecan Wang, Chia-Wei Tang, Hani Alomari, Md. Atabuzzaman, Xudong Lin, Naveen Reddy Dyava, Shih-Fu Chang, Chris Thomas 27d ago

ENTER: Event Based Interpretable Reasoning for VideoQA

ENTER system uses event graphs for interpretable Video QA with code generation and contextual reasoning.

Ax Hadi Zare, Mostafa Abbasi, Maryam Ahang, Homayoun Najjaran 27d ago

An Innovative Next Activity Prediction Using Process Entropy and Dynamic Attribute-Wise-Transformer in Predictive Business Process Monitoring

Entropy-based framework with Transformer for next activity prediction in business process monitoring.

Ax Penghui Yang, Cunxiao Du, Fengzhuo Zhang, Haonan Wang, Tianyu Pang, Chao Du, Bo An 27d ago

LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification

LongSpec enables efficient speculative decoding for long-context LLM inference with lossless acceleration for agent applications.

Ax Rafiya Javed, Cassandra Parent, Jackie Kay, David Yanni, Abdullah Zaini, Anushe Sheikh, Maribeth Rauh, Walter Gerych, Ramona Comanescu, Iason Gabriel, Marzyeh Ghassemi, Laura Weidinger 27d ago

Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights

Framework measuring hedging and non-affirmation behaviors in LLM responses on human rights topics across identity groups.

Ax Firoj Alam, Md Arid Hasan, Sahinur Rahman Laskar, Mucahid Kutlu, Kareem Darwish, Shammur Absar Chowdhury 27d ago

NativQA Framework: Enabling LLMs and VLMs with Native, Local, and Everyday Knowledge

NativQA framework extends to multimodality for culturally-grounded LLM/VLM evaluation across languages and regions.

Ax Junhao Ye, Yuchen Hu, Ke Xu, Dingrong Pan, Qichun Chen, Jie Zhou, Shuai Zhao, Xinwei Fang, Xi Wang, Nan Guan, Zhe Jiang 27d ago

From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification

LLM-aided tool automates Universal Verification Methodology testbench generation for RTL IC verification.

Ax Darpan Aswal, Siddharth D Jaiswal 27d ago

Phonetic Perturbations Reveal Tokenizer-Rooted Safety Gaps in LLMs

CMP-RT diagnostic probe reveals tokenization vulnerabilities in safety-aligned LLMs through phonetic perturbations.

Ax Noah Amsel, David Persson, Christopher Musco, Robert M. Gower 27d ago

The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm

Polar decomposition and matrix sign methods optimized for GPU-friendly deep learning training via Muon optimizer.

Ax Florian F\"urrutter, Zohim Chandani, Ikko Hamamura, Hans J. Briegel, Gorka Mu\~noz-Gil 27d ago

Synthesis of discrete-continuous quantum circuits with multimodal diffusion models

Multimodal diffusion models synthesize quantum circuits for efficient compilation with reduced hardware calls and runtimes.

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago

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 27d ago