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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
Narrowing Down XML Template Expansion and Schema Validation
René Haberland · 2019-12-18 · via cs.IR updates on arXiv.org

This work examines how much template instantiation can narrow down schema validation for XML-documents. First, instantiation and validation are formalised. Properties towards their practical meaning are probed, an implementation is developed. Requirements for an unification are elaborated and a comparison is taken out. The semantics are formulated in terms of denotational semantics as well as rule-based referring to the data models chosen. Formalisation makes it clearer instantiation is adequately represented. Both semantics show, that the rules set for both, instantiation and validation, cannot totally be unified. However, reuse of simplified code also simplifies unification. Implementation allows unification of both processes on document-level. The validity of all implementations is guaranteed by a comprehensive test suite. Analysis shows the minimal XML template language has got regular grammar properties, except macros. An explanation was given, why filters and arrows are not best, especially towards a unified language to be variable and extensive. Recommendations for future language design are provided. Instantiation shows a universal gap in applications, for instance, as seen by XSLT. Lack of expressibility of arbitrary functions in a schema is one such example, expressibility of the command language is another basic restriction. Useful unification constraints are found out to be handy, such as typing each slot. In order to obtain most flexibility out of command languages adaptations are required. An alternative to introducing constraints is the effective construction of special NFAs. Comparison criteria are introduced regarding mainly syntax and semantics. Comparisons is done accordingly. Despite its huge syntax definitions XSD was found weaker than RelaxNG or XML template language. As template language the latter is considered universal.