Isolater - Feed

Ax Haokai Ma, Lee Yan Zhen, Gang Yang, Yunshan Ma, Ee-Chien Chang, Tat-Seng Chua 8d ago

Less Approximates More: Harmonizing Performance and Confidence Faithfulness via Hybrid Post-Training for High-Stakes Tasks

Hybrid post-training combining reinforcement learning and distillation to improve LLM confidence calibration.

Ax Milad Leyli-Abadi, Lucas Thil, Sebastien Razakarivony, Guillaume Doquet, Jesse Read 8d ago

A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation

Machine learning framework for estimating turbofan engine health from sensor data.

Ax Sikai Bai, Haoxi Li, Jie Zhang, Yongjiang Liu, Song Guo 8d ago

TTVS: Boosting Self-Exploring Reinforcement Learning via Test-time Variational Synthesis

Test-time variational synthesis method for reinforcement learning in domains without verifiable rewards.

Ax Abdelkarim Loukili 8d ago

Quantization Impact on the Accuracy and Communication Efficiency Trade-off in Federated Learning for Aerospace Predictive Maintenance

Impact of quantization on federated learning accuracy-efficiency trade-offs for aerospace predictive maintenance.

Ax Tobias Schumacher, Simon Reichelt, Markus Strohmaier 8d ago

The Impact of Dimensionality on the Stability of Node Embeddings

Analysis of how embedding dimensionality affects stability of graph node embeddings.

Ax Stephen Cheng, Sarah Wiegreffe, Dinesh Manocha 8d ago

What Drives Representation Steering? A Mechanistic Case Study on Steering Refusal

Mechanistic study of how steering vectors modify LLM behavior for alignment and refusal control.

Ax Mu Nan, Muquan Yu, Weijian Mai, Jacob S. Prince, Hossein Adeli, Rui Zhang, Jiahang Cao, Benjamin Becker, John A. Pyles, Margaret M. Henderson, Chunfeng Song, Nikolaus Kriegeskorte, Michael J. Tarr, Xiaoqing Hu, Andrew F. Luo 8d ago

Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding

Meta-learning approach for brain signal decoding without per-subject training.

Ax Ali Reza Ibrahimzada, Brandon Paulsen, Daniel Kroening, Reyhaneh Jabbarvand 8d ago

ReCodeAgent: A Multi-Agent Workflow for Language-agnostic Translation and Validation of Large-scale Repositories

Multi-agent system for language-agnostic code translation and validation across programming languages.

Ax Fabrizio Pittorino, Manuel Roveri 8d ago

Position Paper: From Edge AI to Adaptive Edge AI

Framework for adaptive edge AI systems that adjust models during deployment as conditions change.

Ax Haiyang Peng, Deren Han, Xin Chen, Meng Huang 8d ago

NS-RGS: Newton-Schulz based Riemannian gradient method for orthogonal group synchronization

Newton-Schulz optimization method for orthogonal group synchronization problems.

Ax Jintao Zhang, Xuanyao Fong 8d ago

SHIELD: A Segmented Hierarchical Memory Architecture for Energy-Efficient LLM Inference on Edge NPUs

Memory architecture for efficient LLM inference on edge NPUs with optimized DRAM refresh for KV caches.

Ax Tatiana Petrova, Evgeny Polyachenko, Radu State 8d ago

Geometric Entropy and Retrieval Phase Transitions in Continuous Thermal Dense Associative Memory

Research on memory capacity of Hopfield networks using geometric constraints and phase transitions.

Ax Krisanu Sarkar 8d ago

Score Shocks: The Burgers Equation Structure of Diffusion Generative Models

Theoretical analysis of diffusion models using Burgers equation to understand score field evolution.

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

Benchmark dataset and evaluation for multimodal LLMs in manufacturing scenarios.

Ax Chao Zhang, Shuai Lin, ChengLei Dai, Ye Qian, Fan Mingyang, Yi Zhang, Yi Wang, Jingwei Zhuo 8d ago

Dual-Rerank: Fusing Causality and Utility for Industrial Generative Reranking

Industrial generative reranking system combining causality and utility for video search at scale.

Ax Yogesh Phalak, Wen Sin Lor, Apoorva Khairnar, Benjamin Jantzen, Noel Naughton, Suyi Li 8d ago

OpenPRC: A Unified Open-Source Framework for Physics-to-Task Evaluation in Physical Reservoir Computing

Open-source framework for evaluating physical reservoir computing systems across various substrates.

Ax Dustin Bryant, Jonathan Juli\'an Huerta y Munive, Cezary Kaliszyk, Josef Urban 8d ago

Munkres' General Topology Autoformalized in Isabelle/HOL

LLM-based coding agents formalized 85K lines of topology proofs in Isabelle/HOL using ChatGPT and Claude.

Ax Yu Liang, Liangxin Liu, Longzheng Wang, Yan Wang, Yueyang Zhang, Long Xia, Zhiyuan Sun, Daiting Shi 8d ago

ConsistRM: Improving Generative Reward Models via Consistency-Aware Self-Training

Paper on generative reward models for LLM alignment using consistency-aware self-training to improve scalability.

Ax Shlomi Hod, Debanuj Nayak, Jason R. Gantenberg, Iden Kalemaj, Thomas A. Trikalinos, Adam Smith 8d ago

Differentially Private Modeling of Disease Transmission within Human Contact Networks

Research on differentially private disease transmission models in contact networks using machine learning.

Ax Lech Madeyski 8d ago

Triage: Routing Software Engineering Tasks to Cost-Effective LLM Tiers via Code Quality Signals

Privacy-preserving epidemiologic modeling of disease transmission in contact networks using differential privacy.

Ax Jorge Alda 8d ago

Lecture notes on Machine Learning applications for global fits

Semi-autonomous multi-agent system for small molecule drug discovery using multi-modal AI agents and GNNs trained on 800M molecules.

Ax Ravindra Ganti, Steve Xu 8d ago

From LLM to Silicon: RL-Driven ASIC Architecture Exploration for On-Device AI Inference

RL-driven compiler using Soft Actor-Critic to jointly optimize ASIC architecture, memory hierarchy, and workload partitioning for on-device AI inference across technology nodes.

Ax F. Fernando Jurado-Lasso, J. F. Jurado 8d ago

RL-ASL: A Dynamic Listening Optimization for TSCH Networks Using Reinforcement Learning

Reinforcement learning optimization for TSCH MAC protocol in IoT networks to reduce idle listening and power consumption under dynamic traffic conditions.

Ax Michael Cuccarese 8d ago

Predicting Activity Cliffs for Autonomous Medicinal Chemistry

ML approach to predict activity cliffs in medicinal chemistry by identifying structural modifications that cause large potency shifts using ChEMBL molecular pair data.

Ax Tunazzina Islam 8d ago

Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs

Framework using LLMs as semantic judges to validate and restructure outputs from unsupervised text clustering methods, improving coherence and grounding without labeled data.

Ax Mohamed Ehab (Faculty of Computer Science, October University for Modern Science & Arts, Giza, Egypt), Ali Hamdi (Faculty of Computer Science, October University for Modern Science & Arts, Giza, Egypt), Khaled Shaban (Department of Computer Science and Engineering, Qatar University, Doha, Qatar) 8d ago

CAMO: A Class-Aware Minority-Optimized Ensemble for Robust Language Model Evaluation on Imbalanced Data

CAMO is an ensemble technique for imbalanced text classification that optimizes minority class performance through hierarchical voting, confidence calibration, and uncertainty estimation.

Ax Robert Chew, Stephanie Eckman, Christoph Kern, Frauke Kreuter 8d ago

From Ground Truth to Measurement: A Statistical Framework for Human Labeling

Framework for understanding systematic variation in human-labeled training data, distinguishing between ambiguous items, divergent interpretations, and mistakes rather than treating all disagreement as noise.

Ax Mohammad Siavashi, Mariano Scazzariello, Gerald Q. Maguire Jr., Dejan Kosti\'c, Marco Chiesa 8d ago

Blink: CPU-Free LLM Inference by Delegating the Serving Stack to GPU and SmartNIC

Blink is an LLM serving architecture that removes the host CPU from the critical path by delegating orchestration and token control to GPU and SmartNIC, improving inference performance and datacenter resource utilization.

Ax Ziyi Wang, Siva Rajesh Kasa, Ankith M S, Santhosh Kumar Kasa, Jiaru Zou, Sumit Negi, Ruqi Zhang, Nan Jiang, Qifan Song 8d ago

DIVERSED: Relaxed Speculative Decoding via Dynamic Ensemble Verification

DIVERSED: relaxed speculative decoding for LLM inference using dynamic ensemble verification to improve token acceptance rates.

Ax Lingqing Shen, Fatma K{\i}l{\i}n\c{c}-Karzan 8d ago

Parameter-free non-ergodic extragradient algorithms for solving monotone variational inequalities

Parameter-free extragradient algorithms for monotone variational inequalities without manual stepsize selection.

Ax Jonah Botvinick-Greenhouse, Yunan Yang 8d ago

On the Unique Recovery of Transport Maps and Vector Fields from Finite Measure-Valued Data

Theoretical guarantees for unique recovery of transport maps and vector fields from finite measure-valued data.

Ax Zaid Ghazal, Hadiza Yusuf, Khouloud Gaaloul 8d ago

Towards Counterfactual Explanation and Assertion Inference for CPS Debugging

Debugging techniques for cyber-physical systems using counterfactual explanations and assertion inference.

Ax David Gringras 8d ago

IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures

IatroBench: pre-registered study documenting how AI safety measures can cause harmful model behavior changes in medical advice contexts.

Ax Swarnadip Chatterjee, Vladimir Basic, Arrigo Capitanio, Orcun Goksel, Joakim Lindblad 8d ago

Needle in a Haystack -- One-Class Representation Learning for Detecting Rare Malignant Cells in Computational Cytology

One-class representation learning approach for detecting rare malignant cells in computational cytology using weakly supervised methods.

Ax Cathy Jiao, Juan Elenter, Praveen Ravichandran, Bernd Huber, Joseph Cauteruccio, Todd Wasson, Timothy Heath, Chenyan Xiong, Mounia Lalmas, Paul Bennett 8d ago

Efficient Dataset Selection for Continual Adaptation of Generative Recommenders

Dataset selection strategies for continual adaptation of generative recommenders under temporal distributional drift.

Ax Romano Li, Jianfei Cao 8d ago

The Condition-Number Principle for Prototype Clustering

Geometric framework linking objective accuracy to structural recovery in prototype-based clustering via condition numbers.

Ax Pei-Xi Xie, Che-Yu Lin, Cheng-Lin Yang 8d ago

Mitigating Distribution Sharpening in Math RLVR via Distribution-Aligned Hint Synthesis and Backward Hint Annealing

Methods to mitigate distribution sharpening in math RLVR through hint synthesis and annealing strategies.

Ax Haiyan Du, Hu Yang 8d ago

Sparse $\epsilon$ insensitive zone bounded asymmetric elastic net support vector machines for pattern classification

Sparse epsilon-insensitive elastic net SVM variant for noise-robust pattern classification with improved sparsity.

Ax Xiangyue Liu, Zijian Zhang, Miles Yang, Zhao Zhong, Liefeng Bo, Ping Tan 8d ago

Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding

Symbiotic-MoE: unified pre-training framework enabling Large Multimodal Models to generate images while maintaining understanding capabilities.

Ax Manoj Chandrashekar Rao 8d ago

Sensitivity-Positional Co-Localization in GQA Transformers

LSLoRA: investigation of sensitivity-positional co-localization in GQA transformers, restricting LoRA to optimally sensitive layers.

Ax Tong Duy Son, Kohta Sugiura, Marc Brughmans, Andrey Hense, Zhihao Liu, Amirthalakshmi Veeraraghavan, Ajinkya Bhave, Jay Masters, Paolo di Carlo, Theo Geluk 8d ago

Toward Generalizable Graph Learning for 3D Engineering AI: Explainable Workflows for CAE Mode Shape Classification and CFD Field Prediction

Graph learning framework for 3D engineering AI applications including CAE and CFD predictions with explainability.

Ax Chanhyuk Choi, Taesoo Kim, Donggyu Lee, Siyeol Jung, Taehwan Kim 8d ago