cs.IT

Papers

• PersianMedQA: Evaluating Large Language Models on a Persian-English Bilingual Medical Question Answering Benchmark (2026)
  Mohammad Javad Ranjbar Kalahroodi et al.
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• Star DGT: a Robust Gabor Transform for Speech Denoising (2023)
  Vasiliki Kouni et al.
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• ADMM-DAD net: a deep unfolding network for analysis compressed sensing (2022)
  Vasiliki Kouni et al.
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• Understanding and Compressing Music with Maximal Transformable Patterns (2022)
  David Meredith
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• Rhythm and form in music: a complex systems approach (2022)
  Blas Kolic et al.
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• Wireless Deep Speech Semantic Transmission (2022)
  Zixuan Xiao et al.
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• Variational Speech Waveform Compression to Catalyze Semantic Communications (2022)
  Shengshi Yao et al.
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• Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-To-End Automatic Speech Recognition (2023)
  Aleksandr Laptev and Boris Ginsburg
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• Fast and Blind Speech Copy-Move Detection and Localization in Noise (2023)
  Dong Yang et al.
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• Speaker Diaphragm Excursion Prediction: deep attention and online adaptation (2023)
  Yuwei Ren et al.
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• Quantifying the perceptual value of lexical and non-lexical channels in speech (2026)
  Sarenne Wallbridge et al.
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• Quantifying the redundancy between prosody and text (2023)
  Lukas Wolf et al.
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• Matrix Completion with Hypergraphs:Sharp Thresholds and Efficient Algorithms (2026)
  Zhongtian Ma et al.
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• Evaluating Co-Creativity using Total Information Flow (2024)
  Vignesh Gokul et al.
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• Efficient Gradient Estimation for Parameterized Quantum Systems with Lie Algebraic Symmetries (2026)
  Mohsen Heidari et al.
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• MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancement (2024)
  Zizhen Lin et al.
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• The Kolmogorov Complexity of Irish traditional dance music (2024)
  Michael McGettrick et al.
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• Generative Semantic Communication for Text-to-Speech Synthesis (2024)
  Jiahao Zheng et al.
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• Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays (2025)
  Baptiste Chatelier (INSA Rennes et al.
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• Task and Perception-aware Distributed Source Coding for Correlated Speech under Bandwidth-constrained Channels (2025)
  Sagnik Bhattacharya et al.
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• LZMidi: Compression-Based Symbolic Music Generation (2025)
  Connor Ding et al.
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• Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission (2026)
  Seungeun Oh et al.
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• Toward Optimal ANC: Establishing Mutual Information Lower Bound (2025)
  Fran\c{c}ois Derrida et al.
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• Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models (2026)
  Omer Luxembourg et al.
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• Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons (2025)
  Dengyu Wu et al.
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• TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis (2026)
  Austin Feng et al.
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• Utilizing Information Theoretic Approach to Study Cochlear Neural Degeneration (2025)
  Ahsan J. Cheema et al.
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• Q2D2: A Geometry-Aware Audio Codec Leveraging Two-Dimensional Quantization (2025)
  Tal Shuster et al.
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• Information Theoretic Perspective on Representation Learning (2026)
  Deborah Pereg et al.
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• Envy-Free Allocation of Indivisible Goods via Noisy Queries (2026)
  Zihan Li et al.
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• ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport (2026)
  Atefeh Gilani et al.
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• Tighter Information-Theoretic Generalization Bounds via a Novel Class of Change of Measure Inequalities (2026)
  Yanxiao Liu et al.
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• Discrete-Space Generative AI Pipeline for Semantic Transmission of Signals (2026)
  Silvija Kokalj-Filipovic and Yagna Kaasaragadda
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• The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling (2026)
  Pierre-Alexandre Mattei et al.
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• MARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling (2026)
  Payel Bhattacharjee et al.
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• Noise Scheduling as Information-Guided Allocation in Diffusion Training (2026)
  Gabriel Raya et al.
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• Training-Free Rate-Distortion-Perception Traversal With Diffusion (2026)
  Yuhan Wang et al.
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• Distributed Multichannel Wiener Filtering for Wireless Acoustic Sensor Networks (2026)
  Paul Didier et al.
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• Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes (2026)
  Ivan Lau et al.
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• A Unified Fractional Regularization Framework for Sparse Recovery (2026)
  Yinhao Zhao et al.
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• NOVA: Fundamental Limits of Knowledge Discovery Through AI (2026)
  Salman Avestimehr et al.
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• Learning Selective Merge Policies for Deadline-Constrained Coded Caching via Deep Reinforcement Learning (2026)
  Amirhossein Yousefiramandi
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• SPHERICAL KV: Angle-Domain Attention and Rate-Distortion Retention for Efficient Long-Context Inference (2026)
  Anay Chauhan et al.
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• Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology (2026)
  Christo Kurisummoottil Thomas et al.
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• Entropy Equivalence Testing (2026)
  Cl\'ement L. Canonne et al.
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• Instance-Optimal Estimation with Multiple LLM Judges on a Budget (2026)
  Junghyun Lee et al.
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• Sparse In-Network Learning via Shortest-Path Backpropagation and Finite-Rate Gating (2026)
  Mohammad Reza Deylam Salehi
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• LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws (2026)
  Xu Ouyang et al.
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• The Normalized Maximum Likelihood for Regular Non-Smooth Models: Measure-Theoretic Foundations and Geometric Sampling (2026)
  Trenton Lau et al.
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• Fundamental Limitation in Explaining AI (2026)
  Atsushi Suzuki et al.
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