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Showing 6623 results for "m.m. murphy"
AI & Data Science Preprint PDF DOI

Qualitative Evaluation of Language Model Rescoring in Automatic Speech Recognition

Thibault Baneras-Roux, Mickael Rouvier, Jane Wottawa, Richard Dufour · 2026

Evaluating automatic speech recognition (ASR) systems is a classical but difficult and still open problem, which often boils down to focusing only on the word error rate (WER). However, this metric su…

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Physics Preprint PDF DOI

Phase-Transition Induced Domain Evolution and Magnetization Dynamics in FePt/FeRh Bilayers for Efficient Heat-Assisted Magnetic Recording

Saroj K. Mishra, Y. Sasaki, S. Isogami, I. Suzuki, Keerthana P, J. Mohanty, Y. K. Takahashi · 2026

Achieving ultrahigh recording densities with low power consumption is a central challenge for next generation heat assisted magnetic recording (HAMR), as conventional L10 FePt media require intense la…

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Engineering Preprint PDF DOI

Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies

Baktash Behmanesh, Ahmad Rezvanitabar · 2026

This paper provides a concise yet comprehensive review of recent advancements in millimeter-wave (mm-wave) oscillators below 100 GHz and sub-terahertz (sub-THz/THz) oscillators above 100 GHz for next-…

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Physics Preprint PDF DOI

Some applications of Choi polynomials of linear maps

Minh Toan Ho, Thanh Hieu Le, Cong Trinh Le, Hiroyuki Osaka · 2026

This paper investigates the properties of Choi polynomials and their fundamental role in the theory of positive linear maps between matrix algebras. By focusing on Hermitian symmetric biquadratic form…

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AI & Data Science Preprint PDF DOI

Multiple Consistent 2D-3D Mappings for Robust Zero-Shot 3D Visual Grounding

Yufei Yin, Jie Zheng, Qianke Meng, Zhou Yu, Minghao Chen, Jiajun Ding, Min Tan, Yuling Xi, Zhiwen Chen, Chengfei Lv · 2026

Zero-shot 3D Visual Grounding (3DVG) is a critical capability for open-world embodied AI. However, existing methods are fundamentally bottlenecked by the poor quality of open-vocabulary 3D proposals, …

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Physics Preprint PDF DOI

First-Principles Study of Structural, Electronic, Thermal, and Optical Properties of Quasi-2D C2 N2 O Using GGA and HSE06

Hemn. G. H, Nzar. R. Abdullah, Vidar Gudmundsson · 2026

DFT and AIMD are used to investigate the structural, stability, electronic, thermal, and optical properties of the quasi-2D C2N2O structure. The structure exhibits thermal and energy stability, signif…

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AI & Data Science Preprint PDF DOI

Simple Self-Conditioning Adaptation for Masked Diffusion Models

Michael Cardei, Huu Binh Ta, Ferdinando Fioretto · 2026

Masked diffusion models (MDMs) generate discrete sequences by iterative denoising under an absorbing masking process. In standard masked diffusion, if a token remains masked after a reverse update, th…

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Physics Preprint PDF DOI

MCMit: Mid-Circuit Measurement Error Mitigation

Emmanouil Giortamis, Felix Gust, Aleksandra Swierkowska, Sandra Stankovic, Innocenzo Fulginiti, Yanbin Chen, Xiaorang Guo, Benjamin Lienhard, Martin Schulz, Pramod Bhatotia · 2026

Distributed Quantum Computing (DQC) and Quantum Error Correction (QEC) rely on dynamic circuits that include Mid-Circuit Measurements (MCMs) and classical feedback. These operations present a major bo…

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Physics Preprint PDF DOI

Probing the electron Yukawa coupling via resonant Higgs boson production at FCC-ee via $e^+e^- \to H \to WW^*$ in lepton-plus-jets final states

Apranik Fatehi, Reza Jafari Seyedabad, Amir Amiri, Kazem Azizi, David d'Enterria, Louis Portales, Michele Selvaggi · 2026

We report a detailed simulation study of the search for $s$-channel Higgs boson production in $e^+e^-$ collisions at a center-of-mass (c.m.) energy of $\sqrt{s}=125\,\mathrm{GeV}$ at the CERN Future C…

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AI & Data Science Preprint PDF DOI

ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems

Alexander Bering · 2026

Despite a century of empirical memory research, existing AI agent memory systems rely on system-engineering metaphors (virtual-memory paging, flat LLM storage, Zettelkasten notes), none integrating pr…

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AI & Data Science Preprint PDF DOI

Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models

Muhammad Shafique, Abdul Basit, Muhammad Abdullah Hanif, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Minghao Shao · 2026

This work presents a multi-layered methodology for efficiently accelerating multimodal foundation models (MFMs). It combines hardware and software co-design of transformer blocks with an optimization …

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AI & Data Science Preprint PDF DOI

Unlocking the Power of Large Language Models for Multi-table Entity Matching

Yingkai Tang, Taoyu Su, Wenyuan Zhang, Xiaoyang Guo, Tingwen Liu · 2026

Multi-table entity matching (MEM) addresses the limitations of dual-table approaches by enabling simultaneous identification of equivalent entities across multiple data sources without unique identifi…

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AI & Data Science Preprint PDF DOI

Towards Event-Aware Forecasting in DeFi: Insights from On-chain Automated Market Maker Protocols

Huaiyu Jia, Jiehshun You, Yizhi Luo, Jingyu Liu, Shuo Sun · 2026

Automated Market Makers (AMMs), as a core infrastructure of decentralized finance (DeFi), uniquely drive on-chain asset pricing through a deterministic reserve ratio mechanism. Unlike traditional mark…

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AI & Data Science Preprint PDF DOI

To Know is to Construct: Schema-Constrained Generation for Agent Memory

Lei Zheng, Weinan Song, Daili Li, Yanming Yang · 2026

Constructivist epistemology argues that knowledge is actively constructed rather than passively copied. Despite the generative nature of Large Language Models (LLMs), most existing agent memory system…

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AI & Data Science Preprint PDF DOI

Meta Additive Model: Interpretable Sparse Learning With Auto Weighting

Xuelin Zhang, Xinyue Liu, Lingjuan Wu, Hong Chen · 2026

Sparse additive models have attracted much attention in high-dimensional data analysis due to their flexible representation and strong interpretability. However, most existing models are limited to si…

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AI & Data Science Preprint PDF DOI

DT2IT-MRM: Debiased Preference Construction and Iterative Training for Multimodal Reward Modeling

Zhihong Zhang, Jie Zhao, Xiaojian Huang, Jin Xu, Zhuodong Luo, Xin Liu, Jiansheng Wei, Xuejin Chen · 2026

Multimodal reward models (MRMs) play a crucial role in aligning Multimodal Large Language Models (MLLMs) with human preferences. Training a good MRM requires high-quality multimodal preference data. H…

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AI & Data Science Preprint PDF DOI

S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection

Xuelin Zhang, Hong Chen, Yingjie Wang, Tieliang Gong, Bin Gu · 2026

Semi-supervised learning with manifold regularization is a classical framework for jointly learning from both labeled and unlabeled data, where the key requirement is that the support of the unknown m…

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AI & Data Science Preprint PDF DOI

HiGMem: A Hierarchical and LLM-Guided Memory System for Long-Term Conversational Agents

Shuqi Cao, Jingyi He, Fei Tan · 2026

Long-term conversational large language model (LLM) agents require memory systems that can recover relevant evidence from historical interactions without overwhelming the answer stage with irrelevant …

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AI & Data Science Preprint PDF DOI

MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge

Sua Lee, Sanghee Park, Jinbae Im · 2026

Multimodal Large Language Models (MLLMs) have been increasingly used as automatic evaluators-a paradigm known as MLLM-as-a-Judge. However, their reliability and vulnerabilities to biases remain undere…

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Physics Preprint PDF DOI

Bridging Metal Additive Manufacturing and RF Accelerator Design: Development of a 704.4 MHz Crossbar H-Mode Linac for Efficient Beam Acceleration

Chuan Zhang, Eduard Boos, Roland Boehm, Ramy Cherif, Alexander Japs, Stefan Wunderlich · 2026

The development of Ultra-High Frequency (UHF) linear accelerators via Metal Additive Manufacturing (MAM) is a strategic research focus of the RACERS team at GSI. The 704.4 MHz Crossbar H-mode (CH) cav…

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