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ArXiv cs.AI
📄 Paper
1d ago
Do LLM Decoders Listen Fairly? Benchmarking How Language Model Priors Shape Bias in Speech Recognition
arXiv:2604.21276v1 Announce Type: cross Abstract: As pretrained large language models replace task-specific decoders in speech recognition, a critical question
ArXiv cs.AI
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1d ago
Cross-Entropy Is Load-Bearing: A Pre-Registered Scope Test of the K-Way Energy Probe on Bidirectional Predictive Coding
arXiv:2604.21286v1 Announce Type: cross Abstract: Cacioli (2026) showed that the K-way energy probe on standard discriminative predictive coding networks reduce
ArXiv cs.AI
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1d ago
Exploring the Role of Synthetic Data Augmentation in Controllable Human-Centric Video Generation
arXiv:2604.21291v1 Announce Type: cross Abstract: Controllable human video generation aims to produce realistic videos of humans with explicitly guided motions
ArXiv cs.AI
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1d ago
Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations
arXiv:2604.21310v1 Announce Type: cross Abstract: Deep learning has emerged as a powerful approach for malware detection, demonstrating impressive accuracy acro
ArXiv cs.AI
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1d ago
The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
arXiv:2604.21312v1 Announce Type: cross Abstract: This paper presents the NTIRE 2026 Remote Sensing Infrared Image Super-Resolution (x4) Challenge, one of the a
ArXiv cs.AI
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1d ago
MiMIC: Mitigating Visual Modality Collapse in Universal Multimodal Retrieval While Avoiding Semantic Misalignment
arXiv:2604.21326v1 Announce Type: cross Abstract: Universal Multimodal Retrieval (UMR) aims to map different modalities (e.g., visual and textual) into a shared
ArXiv cs.AI
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1d ago
Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning
arXiv:2604.21327v1 Announce Type: cross Abstract: Test-time reinforcement learning (TTRL) always adapts models at inference time via pseudo-labeling, leaving it
ArXiv cs.AI
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1d ago
Beyond Single Plots: A Benchmark for Question Answering on Multi-Charts
arXiv:2604.21344v1 Announce Type: cross Abstract: Charts are widely used to present complex information. Deriving meaningful insights in real-world contexts oft
ArXiv cs.AI
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1d ago
Trust-SSL: Additive-Residual Selective Invariance for Robust Aerial Self-Supervised Learning
arXiv:2604.21349v1 Announce Type: cross Abstract: Self-supervised learning (SSL) is a standard approach for representation learning in aerial imagery. Existing
ArXiv cs.AI
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1d ago
mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code
arXiv:2604.21365v1 Announce Type: cross Abstract: Multi-domain detection of the machine-generated code snippets in various programming languages is a challengin
ArXiv cs.AI
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1d ago
VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation
arXiv:2604.21375v1 Announce Type: cross Abstract: Autonomous GUI agents face two fundamental challenges: early stopping, where agents prematurely declare succes
ArXiv cs.AI
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1d ago
Conjecture and Inquiry: Quantifying Software Performance Requirements via Interactive Retrieval-Augmented Preference Elicitation
arXiv:2604.21380v1 Announce Type: cross Abstract: Since software performance requirements are documented in natural language, quantifying them into mathematical
ArXiv cs.AI
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1d ago
From Noise to Intent: Anchoring Generative VLA Policies with Residual Bridges
arXiv:2604.21391v1 Announce Type: cross Abstract: Bridging high-level semantic understanding with low-level physical control remains a persistent challenge in e
ArXiv cs.AI
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1d ago
Supervised Learning Has a Necessary Geometric Blind Spot: Theory, Consequences, and Minimal Repair
arXiv:2604.21395v1 Announce Type: cross Abstract: We prove that empirical risk minimisation (ERM) imposes a necessary geometric constraint on learned representa
ArXiv cs.AI
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1d ago
VG-CoT: Towards Trustworthy Visual Reasoning via Grounded Chain-of-Thought
arXiv:2604.21396v1 Announce Type: cross Abstract: The advancement of Large Vision-Language Models (LVLMs) requires precise local region-based reasoning that fai
ArXiv cs.AI
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1d ago
CSC: Turning the Adversary's Poison against Itself
arXiv:2604.21416v1 Announce Type: cross Abstract: Poisoning-based backdoor attacks pose significant threats to deep neural networks by embedding triggers in tra
ArXiv cs.AI
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1d ago
Differentially Private De-identification of Dutch Clinical Notes: A Comparative Evaluation
arXiv:2604.21421v1 Announce Type: cross Abstract: Protecting patient privacy in clinical narratives is essential for enabling secondary use of healthcare data u
ArXiv cs.AI
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1d ago
VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution
arXiv:2604.21450v1 Announce Type: cross Abstract: Recent advancements in visual autoregressive models (VAR) have demonstrated their effectiveness in image gener
ArXiv cs.AI
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1d ago
Reasoning Primitives in Hybrid and Non-Hybrid LLMs
arXiv:2604.21454v1 Announce Type: cross Abstract: Reasoning in large language models is often treated as a monolithic capability, but its observed gains may ari
ArXiv cs.AI
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1d ago
Dynamical Priors as a Training Objective in Reinforcement Learning
arXiv:2604.21464v1 Announce Type: cross Abstract: Standard reinforcement learning (RL) optimizes policies for reward but imposes few constraints on how decision
ArXiv cs.AI
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1d ago
Drug Synergy Prediction via Residual Graph Isomorphism Networks and Attention Mechanisms
arXiv:2604.21473v1 Announce Type: cross Abstract: In the treatment of complex diseases, treatment regimens using a single drug often yield limited efficacy and
ArXiv cs.AI
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1d ago
MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting
arXiv:2604.21489v1 Announce Type: cross Abstract: Multi-modal trajectory generation is essential for safe autonomous driving, yet existing diffusion-based plann
ArXiv cs.AI
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1d ago
Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning
arXiv:2604.21495v1 Announce Type: cross Abstract: Numerical reasoning over expert-domain tables often exhibits high in-domain accuracy but limited robustness to
ArXiv cs.AI
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1d ago
Architectures for Robust Self-Organizing Energy Systems under Information and Control Constraints
arXiv:2604.21529v1 Announce Type: cross Abstract: Applying the concept of controlled self-organization in agent-based Cyber-Physical Energy Systems (CPES) is a
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