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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。
VarCoNet: A variability-aware self-supervised framework for functional connectome extraction from resting-state fMRI
KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting
SingMOS-Pro: An Comprehensive Benchmark for Singing Quality Assessment
Pack and Force Your Memory: Long-form and Consistent Video Generation
Understanding Adversarial Transfer: Why Representation-Space Attacks Fail Where Data-Space Attacks Succeed
GPT and Prejudice: A Sparse Approach to Understanding Learned Representations in Large Language Models
Analyzing Latent Concepts in Code Language Models
Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving
DM-Bench: Benchmarking LLMs for Personalized Decision Making in Diabetes Management
YOLO-Based Defect Detection for Metal Sheets
Jina-reranker-v3: Last but Not Late Interaction for Listwise Document Reranking
SecInfer: Preventing Prompt Injection via Inference-time Scaling
Putnam-like dataset summary: LLMs as mathematical competition contestants
Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
Enhancing LLM Steering through Sparse Autoencoder-Based Vector Refinement
Observation-Free Attacks on Online Learning to Rank
MTRec: Learning to Align with User Preferences via Mental Reward Models
MobiLLM: An Agentic AI Framework for Closed-Loop Threat Mitigation in 6G Open RANs
When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models
Flow-Induced Diagonal Gaussian Processes
Towards Size-invariant Salient Object Detection: A Generic Evaluation and Optimization Approach
Dual-Stage Reweighted MoE for Long-Tailed Egocentric Mistake Detection
Robust Pan-Cancer Mitotic Figure Detection with YOLOv12
Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs
Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization
STORI: A Benchmark and Taxonomy for Stochastic Environments
A Study on the Framework for Evaluating the Ethics and Trustworthiness of Generative AI
Grounding the Ungrounded: A Spectral-Graph Framework for Quantifying Hallucinations in multimodal LLMs
FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization
Quantum-RAG and PunGPT2: Advancing Low-Resource Language Generation and Retrieval for the Punjabi Language
Tuning LLM-based Code Optimization via Meta-Prompting: An Industrial Perspective
SBP-YOLO:A Lightweight Real-Time Model for Detecting Speed Bumps and Potholes toward Intelligent Vehicle Suspension Systems
An Architecture for Spatial Networking
A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges
First Hallucination Tokens Are Different from Conditional Ones
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
Model Parallelism With Subnetwork Data Parallelism
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting
A Survey of Pun Generation: Datasets, Evaluations and Methodologies
Controlled Generation with Equivariant Variational Flow Matching
CAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration
Semantic Preprocessing for LLM-based Malware Analysis
Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space
Permissioned LLMs: Enforcing Access Control in Large Language Models
Efficient Preimage Approximation for Neural Network Certification
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models
NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation
Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language Model
Pre-training Limited Memory Language Models with Internal and External Knowledge
OT Score: An OT based Confidence Score for Source Free Unsupervised Domain Adaptation
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit Experiments
A Survey of Deep Learning for Complex Speech Spectrograms
Continuous Thought Machines
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
XBreaking: Explainable Artificial Intelligence for Jailbreaking LLMs
AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generation
PropRAG: Guiding Retrieval with Beam Search over Proposition Paths
Activated LoRA: Fine-tuned LLMs for Intrinsics
Not a nuisance but a useful heuristic: Outlier dimensions favor frequent tokens in language models
Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
DatawiseAgent: A Notebook-Centric LLM Agent Framework for Adaptive and Robust Data Science Automation
A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Rethinking the Vulnerability of Concept Erasure and a New Method
Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM トレーニング
MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification
Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations
Inferring Pluggable Types with Machine Learning
Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm
LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders
RACCooN: A Versatile Instructional Video Editing Framework with Auto-Generated Narratives
Unified Domain Adaptive Semantic Segmentation
Do AI Models Perform Human-like Abstract Reasoning Across Modalities?
Learning to Decide with Just Enough: Information-Theoretic Context Summarization for CMDPs
Thinkquel: A Model Dedicated to Text-to-dbt Using Synthetic Data and a Span-Aware Objective
OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!
Learning to Interact in World Latent for Team Coordination
Understanding Generative Recommendation with Semantic IDs from a Model-scaling View
GUI-PRA: Process Reward Agent for GUI Tasks
PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning
Efficient & Correct Predictive Equivalence for Decision Trees
THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning
Gala: Global LLM Agents for Text-to-Model Translation
Disentangling Multiplex Spatial-Temporal Transition Graph Representation Learning for Socially Enhanced POI Recommendation
LayerCake: Token-Aware Contrastive Decoding within Large Language Model Layers
Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
V2X-UniPool: Unifying Multimodal Perception and Knowledge Reasoning for Autonomous Driving
MIRROR: Modular Internal Processing for Personalized Safety in LLM Dialogue
SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning
Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning
ViLBias: Detecting and Reasoning about Bias in Multimodal Content
OML: A Primitive for Reconciling Open Access with Owner Control in AI Model Distribution
Improved Monte Carlo Planning via Causal Disentanglement for Structurally-Decomposed Markov Decision Processes
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PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning
Created by
Haebom
作者
Hieu Tran, Zonghai Yao, Nguyen Luong Tran, Zhichao Yang, Feiyun Ouyang, Shuo Han, Razieh Rahimi, Hong Yu
概要
PRIME（Planning and Retrieval-Integrated Memory for Enhanced Reasoning）は、人間の認知プロセスの二重処理理論に触発され、System 1（高速で直感的な思考）とSystem 2（遅くて慎重な思考）を動的に統合するマルチエージェント推論フレームワークです。 PRIMEは最初にQuick Thinking Agent（System 1）を使用して迅速な回答を生成し、不確実性が検出された場合は、計画、仮説の作成、検索、情報統合、および意思決定のための特別なエージェントで構成された構造化System 2推論パイプラインをトリガします。 LLaMA 3モデルを使用した実験結果は、PRIMEがオープンソースLLMがGPT-4やGPT-4oなどの最先端の閉鎖ソースモデルと競争力のあるパフォーマンスを示すことを示しています。
Takeaways、Limitations
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Takeaways:
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マルチエージェント設計は、人間の認知プロセスを忠実に模倣し、効率と精度を向上させます。
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オープンソースLLMが複雑な推論ベンチマークでGPT-4およびGPT-4oと競合できるようにします。
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複雑で知識集約的な推論が必要なドメインでLLMを改善するためのスケーラブルなソリューションとして提示されています。
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Limitations:
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論文の内容にLimitationsへの直接的な言及はありません。
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