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Daily Arxiv
Daily Arxiv
世界中で発行される人工知能関連の論文をまとめるページです。
このページはGoogle Geminiを活用して要約し、非営利で運営しています。
論文の著作権は著者および関連機関にあり、共有する際は出典を明記してください。
Self-Questioning Language Models
Beyond risk: A proto-framework for assessing the societal impact of AI systems
Supervised Dynamic Dimension Reduction with Deep Neural Network
EmoSteer-TTS: Fine-Grained and Training-Free Emotion-Controllable Text-to-Speech via Activation Steering
LLMs Have a Heart of Stone: Demystifying the Soft Thinking Ability of Large Reasoning Models
Industrial LLM-based Code Optimization under Regulation: A Mixture-of-Agents Approach
Reliable Evaluation Protocol for Low-Precision Retrieval
Landsat30-AU: A Vision-Language Dataset for Australian Landsat Imagery
Tool-integrated Reinforcement Learning for Repo Deep Search
CauKer: classification time series foundation models can be pretrained on synthetic data only
Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment
DMSC: Dynamic Multi-Scale Coordination Framework for Time Series Forecasting
HyCodePolicy: Hybrid Language Controllers for Multimodal Monitoring and Decision in Embodied Agents
Entity Representation Learning Through Onsite-Offsite Graph for Pinterest Ads
Evaluating User Experience in Conversational Recommender Systems: A Systematic Review Across Classical and LLM-Powered Approaches
Spatial-Frequency Aware for Object Detection in RAW Image
Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations
NCCR: to Evaluate the Robustness of Neural Networks and Adversarial Examples
ChartM$^3$: Benchmarking Chart Editing with Multimodal Instructions
From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation
EcoTransformer: Attention without Multiplication
Bob's Confetti: Phonetic Memorization Attacks in Music and Video Generation
SDBench: A Comprehensive Benchmark Suite for Speaker Diarization
True Multimodal In-Context Learning Needs Attention to the Visual Context
Gauge Flow Models
Zero-Shot Neural Architecture Search with Weighted Response Correlation
The Dark Side of LLMs: Agent-based Attacks for Complete Computer Takeover
CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
A Comparative Study of Specialized LLMs as Dense Retrievers
Sign Spotting Disambiguation using Large Language Models
UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields
Thought Anchors: Which LLM Reasoning Steps Matter?
UITron-Speech: Towards Automated GUI Agents Based on Speech Instructions
15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning
AtmosMJ: Revisiting Gating Mechanism for AI Weather Forecasting Beyond the Year Scale
On the Fundamental Impossibility of Hallucination Control in Large Language Models
Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR
Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators
CAIN: Hijacking LLM-Humans Conversations via Malicious System Prompts
Explain Less, Understand More: Jargon Detection via Personalized Parameter-Efficient Fine-tuning
What Lives? A meta-analysis of diverse opinions on the definition of life
A Generative Neural Annealer for Black-Box Combinatorial Optimization
GRILL: Gradient Signal Restoration in Ill-Conditioned Layers to Enhance Adversarial Attacks on Autoencoders
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
Mj\"olnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density
RGB-Event based Pedestrian Attribute Recognition: A Benchmark Dataset and An Asymmetric RWKV Fusion Framework
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
Beyond Wide-Angle Images: Structure-to-Detail Video Portrait Correction via Unsupervised Spatiotemporal Adaptation
CITRAS: Covariate-Informed Transformer for Time Series Forecasting
Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics
Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models
The Impact of Item-Writing Flaws on Difficulty and Discrimination in Item Response Theory
Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Pull-Based Query Scheduling for Goal-Oriented Semantic Communication
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower Bounds
RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
Foundation Model of Electronic Medical Records for Adaptive Risk Estimation
Tool Unlearning for Tool-Augmented LLMs
Vision without Images: End-to-End Computer Vision from Single Compressive Measurements
How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias
3DTTNet: Multimodal Fusion-Based 3D Traversable Terrain Modeling for Off-Road Environments
DOGR: Towards Versatile Visual Document Grounding and Referring
Real-World Offline Reinforcement Learning from Vision Language Model フィードバック
Causality-Driven Audits of Model Robustness
AUTALIC: A Dataset for Anti-AUTistic Ableist Language In Context
Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection
Pyhgf: A neural network library for predictive coding
Human Bias in the Face of AI: Examining Human Judgment Against Text Labeled as AI Generated
AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity
Parse Trees Guided LLM Prompt Compression
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Queries over Incomplete Knowledge Graphs
A Value Based Parallel Update MCTS Method for Multi-Agent Cooperative Decision Making of Connected and Automated Vehicles
Fairness Definitions in Language Models Explained
CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
Long-Term Visual Object Tracking with Event Cameras: An Associative Memory Augmented Tracker and A Benchmark Dataset
Hulk: A Universal Knowledge Translator for Human-Centric Tasks
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
Environmental Sound Classification on An Embedded Hardware Platform
Data Dependency Inference for Industrial Code Generation Based on UML Sequence Diagrams
InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation
SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
Higher Gauge Flow Models
Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning Models
IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks
SLR: Automated Synthesis for Scalable Logical Reasoning
The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason
APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
Learning to Inference Adaptively for Multimodal Large Language Models
Efficient rule induction by ignoring pointless rules
Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning
Evaluating Detection Thresholds: The Impact of False Positives and Negatives on Super-Resolution Ultrasound Localization Microscopy
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ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
Created by
Haebom
作者
Kangwei Liu, Siyuan Cheng, Bozhong Tian, Xiaozhuan Liang, Yuyang Yin, Meng Han, Ningyu Zhang, Bryan Hooi, Xi Chen, Shumin Deng
概要
本論文は、中国語の有害コンテンツの検出に関する包括的かつ専門的に注釈付きのベンチマークを提示します。既存の有害コンテンツ検出リソースは英語に集中しており、中国語のデータセットが不足しており、範囲が制限されているという問題を解決するために、実際のデータで構成される6つの代表的なカテゴリを含むベンチマークを開発しました。注釈プロセスを通じて、LLMsの中国語有害コンテンツ検出支援のための専門家知識ルール基盤を構築し、人間が注釈した知識ルールとLLMsの暗黙的知識を統合する知識増強基準モデルを提案し、小規模モデルが最先端LLMsと同様の性能を達成するようにします。コードとデータは
https://github.com/zjunlp/ChineseHarm-bench
で利用できます。
GitHub - zjunlp/ChineseHarm-bench: ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark - zjunlp/ChineseHarm-bench
github.com
Takeaways、Limitations
•
Takeaways：
◦
中国語有害コンテンツ検出分野におけるデータ不足の問題解決に寄与
◦
実際のデータファンデーションの大規模で多様なカテゴリを含むベンチマークを提供します。
◦
専門家の知識ルールベースを活用したLLMの性能向上の可能性を提示
◦
知識増強技術による小規模モデルの性能向上の可能性の提示
◦
公開されたコードとデータによる後続の研究の活性化の期待。
•
Limitations：
◦
ベンチマークのカテゴリは6つに限定されます。
◦
実世界の有害コンテンツの多様性を完全に反映できない可能性。
◦
提案された知識強化技術の一般化性能に関するさらなる研究の必要性
◦
特定の言語（中国語）に限定された研究結果の一般化可能性の制限。
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