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

GUI-PRA: Process Reward Agent for GUI Tasks

Created by

Haebom

作者

Tao Xiong, Xavier Hu, Yurun Chen, Yuhang Liu, Changqiao Wu, Pengzhi Gao, Wei Liu, Jian Luan, Shengyu Zhang

GUI-PRA: GUI 操作のプロセス補償エージェント

概要

マルチモーダル大規模言語モデル（MLLM）ベースのGUIエージェントは、作業の自動化に大きな可能性を示していますが、長期的な作業に苦労することがよくあります。プロセス補償モデル（PRM）は、推論中に重要なプロセス信号を介してこれらのエージェントを導くことができる有望な解決策ですが、GUIドメインに適用することは独自の課題を提示します。長い記録データを持つ密集した人工入力を処理するとき、PRMは「途中で忘れる」現象に苦しみ、過度の過去のコンテキストが現在の段階の評価を損なう。さらに、標準ＰＲＭはＧＵＩ変化認識を持たず、静的評価を提供し、これは本質的に動的ＧＵＩ操作の特性と一致しない。この課題に対処するために、我々は歴史的コンテキストをインテリジェントに処理し、UI状態の変化を積極的に認識し、標準PRMよりも優れたプロセス補償を提供するように設計された裁判官エージェントであるGUI-PRA（GUI作業用プロセス補償エージェント）を紹介します。特に、「途中で忘れられた」現象に直接対応するために、長い履歴から適切な情報を積極的にもたらす関連性ベースの検索モジュールと、増加する相互作用データを動的に要約する漸進的要約モジュールからなる動的メモリメカニズムを導入し、モデルが関連コンテキストに集中するようにします。また、UI変化認識不足の問題を解決するために、適応UI認識機構を導入した。このメカニズムは、エージェントがUI状態の変化について推論し、根拠のある視覚的証拠を収集するための最も適切なツールを動的に選択できるようにし、評価が常に現在のUIコンテキストによって情報を受け取るようにします。

Takeaways、Limitations

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Takeaways：

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GUI-PRAは、GUI操作におけるMLLMベースのエージェントのパフォーマンスを向上させるための新しいアプローチを提示します。

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動的メモリメカニズムは、「途中で忘れられた」現象を解決し、エージェントが関連するコンテキストに集中するのを助けます。

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適応型ＵＩ認識機構は、ＵＩ状態の変化を考慮してエージェントの評価を改善する。

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Limitations：

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論文で具体的な実験結果や性能比較に関する情報が不足している。

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実装の詳細と特定のアルゴリズムの説明が不足しています。

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提案されたメカニズムの一般化の可能性とさまざまなGUI操作への適用可能性に関するさらなる研究が必要です。

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