Daily edition · Information Retrieval
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32 articles · 4 sources · 31 papers ·
Top topics: Information Retrieval · AI · AI Research
arXiv:2609.25833v1 Announce Type: cross Abstract: Automatic fact-checking poses a significant challenge in Arabic natural language processing due to the scarcity of datasets and resources. In this manuscript, we…
arXiv:2609.26251v1 Announce Type: new Abstract: Listwise language-model rerankers often disagree across equivalent candidate permutations. Finite instability diagnostics are therefore used to motivate additional…
arXiv:2609.26218v1 Announce Type: new Abstract: Structural graph analysis of the academic publishing network captures the topological relationships between entities but does not see the content of works. Building on our…
arXiv:2609.25825v1 Announce Type: new Abstract: Personalised search must satisfy query intent while incorporating user context and historical interactions. LLM-based cross-encoders provide a single reranking interface,…
arXiv:2609.26658v1 Announce Type: new Abstract: Integrating heterogeneous datasets within data lakes is a critical challenge, particularly for semantically related tables that lack the explicit attributes needed to be…
arXiv:2609.11115v3 Announce Type: replace-cross Abstract: Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find relevant evaluations, locate their benchmark datasets and…
arXiv:2609.26086v1 Announce Type: cross Abstract: An agentic retrieval system issues a sequence of search queries and must decide, at each step, whether the evidence collected so far is enough to stop. Delegating that…
arXiv:2609.25306v1 Announce Type: new Abstract: Retrieving similar mobile applications (apps) is essential for researchers, developers, and end-users. Researchers use similarity detection to study app ecosystems and…
arXiv:2609.26143v1 Announce Type: new Abstract: Recommender systems on Web platforms tend to over-serve popular items and neglect the long tail. Item-side knowledge graphs (KGs), often available as linked data or…
arXiv:2507.00938v3 Announce Type: replace Abstract: Foundation models now enable autonomous agents to interact with real-world websites, but existing benchmarks emphasize general-purpose browsing, underrepresent…
arXiv:2609.26237v1 Announce Type: new Abstract: We present the ABAI submission to COLIEE 2026 Task 1, case law retrieval, together with a controlled study of why it underperformed. The task suppresses the cited passages…
arXiv:2609.25991v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) gives large language models (LLMs) access to external knowledge, but its conventional retrieve-concatenate-generate pipeline makes…
arXiv:2609.03450v2 Announce Type: replace Abstract: A model that inherits one-line memories may pull one archived source record before acting; a directive in the store can steer that pull: a pointer, a criterion or…
arXiv:2609.23354v2 Announce Type: replace Abstract: Traditional Web search follows a human-facing paradigm in which users inspect ranked documents and synthesize information themselves. In AI Search, retrieved documents…
arXiv:2609.26780v1 Announce Type: cross Abstract: Long-term conversational memory in multi-party settings requires more than retrieving relevant content from long-term conversations: it must distinguish who said what,…
arXiv:2609.22770v2 Announce Type: replace Abstract: We study a parameterized hybrid ranker that fuses a dense embedding list and a sparse lexical list. The method has a small, explicit parameter vector: a dense prior…
arXiv:2608.18752v3 Announce Type: replace Abstract: Statutory retrieval is necessary for citation-grounded legal question answering, but remains underexplored for Greek. We introduce GreekBarRetrieval, a public…
arXiv:2609.26171v1 Announce Type: new Abstract: Leaks such as the Panama and Paradise Papers expose large networks of offshore entities, and they invite an obvious question for network learning. Can the relations these…
arXiv:2609.25408v1 Announce Type: cross Abstract: Online A/B experiments are the decision standard for user engagement, but traffic and readout time limit how many conversational-AI changes can be tested. We ask whether…
arXiv:2608.25922v2 Announce Type: replace-cross Abstract: GNN-based Knowledge Graph Question Answering (KGQA) pipelines process queries through four discrete stages: entity linking, subgraph retrieval, GNN reasoning,…
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