Daily edition · Information Retrieval
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35 articles · 4 sources · 35 papers ·
Top topics: AI Research · AI · Information Retrieval
arXiv:2609.03901v1 Announce Type: cross Abstract: We present a comparative evaluation of six information retrieval methods for the task of academic advisor discovery: ranking CS faculty members by relevance to a…
arXiv:2609.03369v1 Announce Type: new Abstract: Sequential recommender systems model user behavior as item ID sequences, while recent generative methods cast recommendation as a language modeling task using large…
arXiv:2605.26578v2 Announce Type: replace Abstract: Dense retrievers exhibit positional bias, favoring documents whose query-relevant information appears near the beginning and degrading retrieval performance when the…
arXiv:2609.03810v1 Announce Type: new Abstract: Pitching strategy in baseball is expressed through both physical execution and the ordered context in which pitches are used, yet common representations collapse pitches…
arXiv:2609.04083v1 Announce Type: cross Abstract: MLLM-based embedding models remain limited in compositional retrieval, often failing to distinguish scenes containing the same concepts but different attribute-object…
arXiv:2609.03470v1 Announce Type: new Abstract: Programming tutors should support learners' own explanations rather than immediately providing model answers. We present ExplainRoute, a pre-deployment audit framework for…
arXiv:2609.02894v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) has become a prevailing paradigm for enhancing Large Language Models (LLMs) with non-parametric knowledge. Vanilla RAG efficiently…
arXiv:2408.09199v3 Announce Type: replace Abstract: In the pursuit of enhancing domain-specific Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) emerges as a promising solution to mitigate issues such…
arXiv:2609.02944v1 Announce Type: new Abstract: Democratizing data access through natural language is a crucial goal for modern enterprises, but the practical adoption of Text-to-SQL is critically hindered by real-world…
arXiv:2609.03971v1 Announce Type: new Abstract: The systematic curation of the Web remains a central challenge for national libraries and memory institutions that aim to preserve culturally and regionally relevant…
arXiv:2609.03450v1 Announce Type: new Abstract: An agent that inherits six one-line memories may pull at most one archived source record before acting; a directive written into the store can steer that choice: a pointer…
arXiv:2609.03313v1 Announce Type: new Abstract: Large Language Models (LLMs) have recently emerged as powerful backbones for recommendation. To better elicit their capabilities, reasoning has been widely incorporated to…
arXiv:2609.02486v2 Announce Type: replace Abstract: Document Visual Question Answering (DocVQA) often leverages Retrieval-Augmented Generation (RAG), where late-interaction encoders are commonly used to identify…
arXiv:2609.03674v1 Announce Type: new Abstract: Guidance queries stimulate user consumption by extracting preferences to provide search queries with guidance value, playing a crucial role in the e-commerce field.…
arXiv:2609.03482v1 Announce Type: new Abstract: Existing conversational retrievers commonly treat topical relevance as a proxy for answerability. However, a passage that closely matches the dialogue context is not…
arXiv:2609.03522v1 Announce Type: new Abstract: Semantic ID (SID) generative recommendation predicts the next item by generating a short tuple of discrete tokens. Recent masked-diffusion methods improve this process…
arXiv:2609.04047v1 Announce Type: new Abstract: Background: Researchers increasingly use repeated identical prompts to audit stochastic variation in large language model (LLM) brand recommendations, yet no standardized…
arXiv:2609.03915v1 Announce Type: cross Abstract: Question answering agents in long-term conversations must reason over massive, temporally dispersed dialogue histories. However, existing memory mechanisms primarily…
arXiv:2601.07978v5 Announce Type: replace Abstract: Long-term memory (LTM) is fundamental to large language model (LLM)-based agents in the emerging Internet of Agents (IoA), where distributed multi-agent systems (DMAS)…
arXiv:2609.03047v1 Announce Type: cross Abstract: Libraries and archives manage large collections with limited staff and computing budgets, yet common benchmarks do not systematically test their bibliographic work. They…
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