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1 Introduction

https://arxiv.org/html/2407.16741v3
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https://arxiv.org/pdf/2210.00045
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https://arxiv.org/pdf/2507.17609
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[2608.03883] DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM

https://arxiv.org/abs/2608.03883
Our systems combine sparse BM25 retrieval, evidence-aware rescoring for self-referential symptom reports, embedding-based reranking, query-prototype expansion, and LLM-based reranking

[2104.08663] BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of

https://arxiv.org/abs/2104.08663
Our results show BM25 is a robust baseline and re-ranking and late-interaction-based models on average achieve the best zero-shot performances, however, at high computational costs

[2608.03860] SciRet: A Compute-Aware Empirical Study of Retrieval and

https://arxiv.org/abs/2608.03860
The pipeline combines sentence-window chunking, BM25, BGE-M3 dense retrieval, reciprocal rank fusion, optional cross-encoder reranking, and grounded answer generation

Information Retrieval

https://arxiv.org/list/cs.IR/recent
IR) Tue, 4 Aug 2026 (showing first 34 of 45 entries ) [17] arXiv:2608

Information Retrieval

https://arxiv.org/list/cs.IR/new
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Information Retrieval New submissions Cross-lists Replacements See recent

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https://arxiv.org/pdf/2512.14692
7 % 1 0 obj > 12 > ] >> /PageMode /UseOutlines /Pages 7 0 R /Type /Catalog >> endobj 2 0 obj > endobj 3 0 obj > stream Native and Compact Structured Latents for 3D GenerationJianfeng XiangXiaoxue ChenSicheng XuRuicheng WangZelong LvYu DengHongyuan ZhuYue DongHao ZhaoNicholas Jing YuanJiaolong Yanghttp://arxiv

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https://arxiv.org/src/2205.11916v3
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