Daily Arxiv

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PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling

Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM models

RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis

Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization

Aligning Transformers with Continuous Feedback via Energy Rank Alignment

Large Language Models for Cyber Security: A Systematic Literature Review

Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model

CreativeSynth: Cross-Art-Attention for Artistic Image Synthesis with Multimodal Diffusion

LLM A*: Human in the Loop Large Language Models Enabled A* Search for Robotics

Neurodivergent Influenceability as a Contingent Solution to the AI Alignment Problem

AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTL

Demonstrating specification gaming in reasoning models

SensorChat: Answering Qualitative and Quantitative Questions during Long-Term Multimodal Sensor Interactions

MapExplorer: New Content Generation from Low-Dimensional Visualizations

Addressing and Visualizing Misalignments in Human Task-Solving Trajectories

AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents

Learning Progress Driven Multi-Agent Curriculum

Neural Thermodynamic Laws for Large Language Model Training

MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data

Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning

LibIQ: Toward Real-Time Spectrum Classification in O-RAN dApps

Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation

Multi-Token Prediction Needs Registers

PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models

UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation

Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps

Superposition Yields Robust Neural Scaling

SEAL: Searching Expandable Architectures for Incremental Learning

Vision language models have difficulty recognizing virtual objects

Are Large Language Models Robust in Understanding Code Against Semantics-Preserving Mutations?

IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-Tuning

PIF: Anomaly detection via preference embedding

Learned Lightweight Smartphone ISP with Unpaired Data

Visual Fidelity Index for Generative Semantic Communications with Critical Information Embedding

Rethinking Repetition Problems of LLMs in Code Generation

Inconsistency Handling in DatalogMTL

Uncovering Magnetic Phases with Synthetic Data and Physics-Informed Training

Schreier-Coset Graph Propagation

Multi-Agent Path Finding For Large Agents Is Intractable

Are Sparse Autoencoders Useful for Java Function Bug Detection?

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks

FactsR: A Safer Method for Producing High Quality Healthcare Documentation

SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal{O}(T)$ Complexity

Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning

Emergence of Structure in Ensembles of Random Neural Networks

Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change

AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Private Transformer Inference in MLaaS: A Survey

AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages

Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning

AttentionGuard: Transformer-based Misbehavior Detection for Secure Vehicular Platoons

Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning

The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine

Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data

On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging

Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M

A Fine-Grained Complexity View on Propositional Abduction -- Algorithms and Lower Bounds

Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion

LanTu: Dynamics-Enhanced Deep Learning for Eddy-Resolving Ocean Forecasting

The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think

KAITIAN: A Unified Communication Framework for Enabling Efficient Collaboration Across Heterogeneous Accelerators in Embodied AI Systems

Does Scaling Law Apply in Time Series Forecasting?

Modeling Saliency Dataset Bias

QuXAI: Explainers for Hybrid Quantum Machine Learning Models

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Robust Federated Learning on Edge Devices with Domain Heterogeneity

All You Need Is Synthetic Task Augmentation

EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation

LAV: Audio-Driven Dynamic Visual Generation with Neural Compression and StyleGAN2

Multi-Robot Task Allocation for Homogeneous Tasks with Collision Avoidance via Spatial Clustering

Dark LLMs: The Growing Threat of Unaligned AI Models

PsOCR: Benchmarking Large Multimodal Models for Optical Character Recognition in Low-resource Pashto Language

Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods

Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights

Optimal normalization in quantum-classical hybrid models for anti-cancer drug response prediction

ORL-LDM: Offline Reinforcement Learning Guided Latent Diffusion Model Super-Resolution Reconstruction

Application of YOLOv8 in monocular downward multiple Car Target detection

Quantum Computing and AI: Perspectives on Advanced Automation in Science and Engineering

AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron

Analysing Safety Risks in LLMs Fine-Tuned with Pseudo-Malicious Cyber Security Data

A Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives

TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation

Task-Core Memory Management and Consolidation for Long-term Continual Learning

Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph

VRU-CIPI: Crossing Intention Prediction at Intersections for Improving Vulnerable Road Users Safety

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection

Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback

Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture

Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit Tasks

Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools?

LiDDA: Data Driven Attribution at LinkedIn

Predictability Shapes Adaptation: An Evolutionary Perspective on Modes of Learning in Transformers

Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting

Causal Predictive Optimization and Generation for Business AI

Evaluating Large Language Models for the Generation of Unit Tests with Equivalence Partitions and Boundary Values

$XX^{t}$ Can Be Faster

Exploring the generalization of LLM truth directions on conversational formats

Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models

The Voice Timbre Attribute Detection 2025 Challenge Evaluation Plan

Created by

Haebom

저자

Zhengyan Sheng, Jinghao He, Liping Chen, Kong Aik Lee, Zhen-Hua Ling

개요

VtaD 2025 챌린지는 인간의 청각으로 인지되는 사람 목소리의 고유한 특성인 음색 특징을 비교적으로 설명하는 데 중점을 둡니다. 이 챌린지에서는 밝음, 거침, 부드러움, 자력 등의 감각적 기술자 집합을 사용하여 음색에 대한 인간의 인상을 언어화합니다. 특정 기술자 차원 내에서 두 목소리의 강도를 비교하여 음색을 설명합니다. VtaD 2025 챌린지는 2025년 5월에 시작하여 2025년 10월 중국 진장에서 열리는 NCMMSC2025 컨퍼런스에서 특별 제안으로 종료됩니다.

시사점, 한계점

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시사점: 음색 특징을 정량적으로 비교 분석하는 새로운 접근 방식을 제시하고, 관련 연구 및 기술 발전에 기여할 수 있습니다. 다양한 감각적 기술자를 활용하여 음색을 보다 풍부하게 표현하고 이해할 수 있는 가능성을 열어줍니다.

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한계점: 챌린지의 성공 여부는 참가자들의 수와 제출된 결과의 질에 달려있습니다. 감각적 기술자의 주관성으로 인해 결과 해석에 어려움이 있을 수 있습니다. 현재로서는 챌린지의 구체적인 평가 기준이나 데이터셋에 대한 정보가 부족합니다.

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