惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

L
LangChain Blog
C
Check Point Blog
博
博客园 - Franky
V
Visual Studio Blog
云风的 BLOG
云风的 BLOG
aimingoo的专栏
aimingoo的专栏
Microsoft Security Blog
Microsoft Security Blog
V2EX - 技术
V2EX - 技术
AI
AI
Hacker News - Newest:
Hacker News - Newest: "LLM"
Jina AI
Jina AI
S
Security @ Cisco Blogs
Security Archives - TechRepublic
Security Archives - TechRepublic
H
Hacker News: Front Page
H
Hackread – Cybersecurity News, Data Breaches, AI and More
O
OpenAI News
Attack and Defense Labs
Attack and Defense Labs
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
爱范儿
爱范儿
H
Heimdal Security Blog
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
G
Google Developers Blog
G
GRAHAM CLULEY
V
V2EX
The Register - Security
The Register - Security
人人都是产品经理
人人都是产品经理
B
Blog RSS Feed
Schneier on Security
Schneier on Security
M
MIT News - Artificial intelligence
Stack Overflow Blog
Stack Overflow Blog
Help Net Security
Help Net Security
大猫的无限游戏
大猫的无限游戏
C
CERT Recently Published Vulnerability Notes
The GitHub Blog
The GitHub Blog
V
Vulnerabilities – Threatpost
The Last Watchdog
The Last Watchdog
J
Java Code Geeks
S
Secure Thoughts
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
量
量子位
NISL@THU
NISL@THU
K
Kaspersky official blog
Engineering at Meta
Engineering at Meta
T
Threatpost
Recent Commits to openclaw:main
Recent Commits to openclaw:main
宝玉的分享
宝玉的分享
Security Latest
Security Latest
T
The Exploit Database - CXSecurity.com
博
博客园_首页
A
Arctic Wolf

cs.IR updates on arXiv.org

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI Diagnosable ColBERT: Debugging Late-Interaction Retrieval Models Using a Learned Latent Space as Reference Enhancing Unsupervised Keyword Extraction in Academic Papers through Integrating Highlights with Abstract CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendation IndiaFinBench: An Evaluation Benchmark for Large Language Model Performance on Indian Financial Regulatory Text Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility RARE: Redundancy-Aware Retrieval Evaluation Framework for High-Similarity Corpora Personalized Benchmarking: Evaluating LLMs by Individual Preferences Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations JFinTEB: Japanese Financial Text Embedding Benchmark UsefulBench: Towards Decision-Useful Information as a Target for Information Retrieval SIMMER: Cross-Modal Food Image--Recipe Retrieval via MLLM-Based Embedding Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels Learning Behaviorally Grounded Item Embeddings via Personalized Temporal Contexts Collaborative Filtering Through Weighted Similarities of User and Item Embeddings IG-Search: Step-Level Information Gain Rewards for Search-Augmented Reasoning Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation Uncertainty-aware Generative Learning Path Recommendation with Cognition-Adaptive Diffusion CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG NewsTorch: A PyTorch-based Toolkit for Learner-oriented News Recommendation Controlling Authority Retrieval: A Missing Retrieval Objective for Authority-Governed Knowledge APEX-MEM: Agentic Semi-Structured Memory with Temporal Reasoning for Long-Term Conversational AI ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation Large Language Models to Enhance Business Process Modeling: Past, Present, and Future Trends Dual-Enhancement Product Bundling: Bridging Interactive Graph and Large Language Model Evaluation of Agents under Simulated AI Marketplace Dynamics Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine TokenFormer: Unify the Multi-Field and Sequential Recommendation Worlds Hybrid Retrieval for COVID-19 Literature: Comparing Rank Fusion and Projection Fusion with Diversity Reranking FRAGATA: Semantic Retrieval of HPC Support Tickets via Hybrid RAG over 20 Years of Request Tracker History Debate to Align: Reliable Entity Alignment through Two-Stage Multi-Agent Debate From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines Indexing Multimodal Language Models for Large-scale Image Retrieval FRESCO: Benchmarking and Optimizing Re-rankers for Evolving Semantic Conflict in Retrieval-Augmented Generation TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents Knowledge Graph RAG: Agentic Crawling and Graph Construction in Enterprise Documents NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books Frugal Knowledge Graph Construction with Local LLMs: A Zero-Shot Pipeline, Self-Consistency and Wisdom of Artificial Crowds ATANT v1.1: Positioning Continuity Evaluation Against Memory, Long-Context, and Agentic-Memory Benchmarks Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation HeceTokenizer: A Syllable-Based Tokenization Approach for Turkish Retrieval NSFL: A Post-Training Neuro-Symbolic Fuzzy Logic Framework for Boolean Operators in Neural Embeddings Hijacking Text Heritage: Hiding the Human Signature through Homoglyphic Substitution ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations Reproduction Beyond Benchmarks: ConstBERT and ColBERT-v2 Across Backends and Query Distributions PriHA: A RAG-Enhanced LLM Framework for Primary Healthcare Assistant in Hong Kong Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits PRAGMA: Revolut Foundation Model Rag Performance Prediction for Question Answering Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Hydra: Unifying Document Retrieval and Generation in a Single Vision-Language Model SocialWise: LLM-Agentic Conversation Therapy for Individuals with Autism Spectrum Disorder to Enhance Communication Skills Working Notes on Late Interaction Dynamics: Analyzing Targeted Behaviors of Late Interaction Models Resolving the Robustness-Precision Trade-off in Financial RAG through Hybrid Document-Routed Retrieval Spectral Tempering for Embedding Compression in Dense Passage Retrieval AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation To LLM, or Not to LLM: How Designers and Developers Navigate LLMs as Tools or Teammates A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search Hunt Globally: Wide Search AI Agents for Drug Asset Scouting in Investing, Business Development, and Competitive Intelligence From Speech-to-Spatial: Grounding Utterances on A Live Shared View with Augmented Reality Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics Exploring Structural Complexity in Normative RAG with Graph-based approaches: A case study on the ETSI Standards SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation Beyond Offline A/B Testing: Context-Aware Agent Simulation for Recommender System Evaluation AI-assisted Protocol Information Extraction For Improved Accuracy and Efficiency in Clinical Trial Workflows Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults RLPO: Residual Listwise Preference Optimization for Long-Context Review Ranking When & How to Write for Personalized Demand-aware Query Rewriting in Video Search Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows WisPaper: Your AI Scholar Search Engine GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs Hierarchical Semantic Retrieval with Cobweb WARBERT: A Hierarchical BERT-based Model for Web API Recommendation Reliable Evaluation Protocol for Low-Precision Retrieval VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation Exploitation Over Exploration: Unmasking the Bias in Linear Bandit Recommender Offline Evaluation ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context From Limited Labels to Open Domains:An Efficient Learning Method for Drone-view Geo-Localization User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data
Better Recommendations: Validating AI-generated Subject Terms Through LOC Linked Data Service
Kwok Leong Tang, Yi Jiang · 2025-07-19 · via cs.IR updates on arXiv.org

This article explores the integration of AI-generated subject terms into library cataloging, focusing on validation through the Library of Congress Linked Data Service. It examines the challenges of traditional subject cataloging under the Library of Congress Subject Headings system, including inefficiencies and cataloging backlogs. While generative AI shows promise in expediting cataloging workflows, studies reveal significant limitations in the accuracy of AI-assigned subject headings. The article proposes a hybrid approach combining AI technology with human validation through LOC Linked Data Service, aiming to enhance the precision, efficiency, and overall quality of metadata creation in library cataloging practices.

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。