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Interdisciplinary & Society
Economics, finance, engineering and the social sciences share preprints on arXiv, and papers in chemistry and the earth sciences reach ReadSearch through OpenAlex. This page shows the newest papers ReadSearch has read in them.
The newest 1,000 papers, from 8 October 2026 to 5 November 2026: 997 arXiv preprints and 3 OpenAlex records.
Newest papers, page 26
MG-REPA: Multi-Granularity Representation Alignment for Generative Target Speaker Extraction
Generative target speaker extraction (TSE) models achieve high-quality extraction, but suffer from considerably slow training convergence.Uni-Stream: A Unified Streaming Speech Language Model for Speech Synthesis and Recognition
Unified streaming speech language models aim to support speech recognition and synthesis within a single model, enabling real-time human-computer interaction.DIAL-S2ST: Learning Latency Control for Simultaneous Speech-to-Speech Translation
We propose DIAL-S2ST, a post-training method for learning inference-time latency control in simultaneous speech-to-speech translation models.Financial Context-Rich Strategy for Actor-Critic based Agents: A Deep Reinforcement Learning Approach for Stock Trading
In modern financial markets, more than 3/4th of the large volume trade is executed by algorithmic trading based on advanced trading strategies to attain higher precision and speed than traditional…Incremental-Smoothing-Based ARAIM Protection Levels for Tightly Coupled GNSS/IMU Integration in Urban Canyons
Protection levels (PLs) bound position errors under specified fault hypotheses and risk budgets, but advanced receiver autonomous integrity monitoring (ARAIM) is formulated for snapshot GNSS…Heterogeneous Space Data Centers: A Key Paradigm for Future Non-Terrestrial and In-Orbit Services
Lower space-launch cost and advances in AI are driving space-based data centers (SDCs) that provide AI-centric computing and communication services to in-orbit and non-terrestrial assets.Supervised Source Separation of Electric Vehicle Interior Noise Using a Hybrid Transformer Architecture
The interior sound of an electric vehicle is a superposition of several distinct noise contributions - wind noise, tire noise, powertrain (electric drive unit and inverter) noise, and…Duality of Shortfall Aversion
Shortfall aversion describes a form of consumption habit formation in which an individual's utility depends on consumption relative to the historical consumption peak.The Effects of Generative AI on Collaboration and Social Networks Among Knowledge Workers
The rapid diffusion of generative artificial intelligence has raised concerns that knowledge work may become less dependent on human-to-human interaction.State Estimation as In-context Tabular Prediction
This letter poses state estimation (SE) as an in-context tabular prediction (ICTP) problem.Beyond Channel Data: Configuration-Enriched Radio Foundation Models
This paper proposes incorporating channel configuration (CFG) information into Radio Foundation Model (RFM) pre-training and demonstrates that the resulting CFG-enriched embeddings serve as…Pseudo-Labels as Rewards, Not Targets: Group-Relative Policy Optimization for Semi-Supervised ASR
Adapting ASR to a domain with only untranscribed audio typically relies on pseudo-labeling, a strong teacher transcribes the audio and a student is fine-tuned on it.Risk Adequacy and Anti-Discrimination in Insurance Pricing: Classification, Aggregation, and Transfers
Insurance tariffs must reconcile risk-based pricing, portfolio coverage, and anti-discrimination requirements.Robust Offset-Free Lane-Keeping Control Framework for Vision-Only Automated Vehicles
Achieving accurate, real-time lane-keeping control during high-speed cornering on large-curvature roads while ensuring robust vehicle stability is a critical challenge in autonomous driving.EMG Tokenization Preserves Movement Information at a Fraction of the Bitrate
Wireless electromyography (EMG) interfaces must balance electrode coverage against transmission bandwidth.Cross-Scenario Controller Parameter Transformation from Real-World Driving Data through Flow Matching
Advanced Driver Assistance Systems have become increasingly widespread, aiming to support drivers, reduce workload, and improve traffic safety.The Butterfly Defects: Tracing Cooperation in LLM Agent Networks
As large language models (LLMs) increasingly operate as interconnected agents, a fundamental question emerges: does individual cooperation translate into collective cooperation?Clean-label Poisoning Attack and Defense Game for Federated Learning in Vehicular Networks
This paper studies interactions between clean-label poisoning attack and defense in vehicular networks using federated learning (FL).U-NeXt: General-purpose event detection for neonatal EEG
We developed U-NeXt, a general framework for neonatal electroencephalography (EEG) event detection based on semantic segmentation.Monetizing Intelligence: Advertising and Subscription Design on LLM Platforms
Large language model (LLM) platforms introducing advertising must decide how much capability ad revenue should fund and what consumers should pay to avoid ads.
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