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Zep implements three search functions: cosine semantic similarity search (φcos)subscript𝜑cos(\varphi_{\text{cos}})( italic_φ start_POSTSUBSCRIPT cos end_POSTSUBSCRIPT ), Okapi BM25 full-text search (φbm25)subscript𝜑bm25(\varphi_{\text{bm25}})( italic_φ start_POSTSUBSCRIPT bm25 end_POSTSUBSCRIPT )
from the top result below
https://arxiv.org/html/2501.13956v1
Consequently, additional context is required to provide out-of-domain (OOD) knowledge and reduce hallucinations
https://arxiv.org/html/2608.03048v1
com/JetAstra/PI-Mem
Introduction
The ability to reason over long contexts is increasingly important for large language models (LLMs), supporting applications such as long-document question answering (Gemini Team 2025; Yang et al
https://arxiv.org/html/2608.02613v1
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
https://arxiv.org/list/cs.CL/new
Many practically important problems are naturally treated as black-box optimization (BBO) problems, in which only objective values are observable, and the functional form is unavailable
https://arxiv.org/list/cs.AI/new
, the meaning of a customized field) originates from users' domain knowledge and is rarely documented publicly
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
https://arxiv.org/list/cs.IR/new
IR)
Industrial recommenders increasingly adopt the pretrain-then-transfer paradigm, yet behavioral distribution drift raises two questions: what to learn from behavior sequences, and how to transfer the learned knowledge while the pretrained model is continually refreshed
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
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
https://arxiv.org/list/cs.IR/recent
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Information Retrieval
Authors and titles for recent submissions
Wed, 5 Aug 2026
https://arxiv.org/html/2407.16741v3
edu
Abstract
Software is one of the most powerful tools that we humans have at our disposal; it allows a skilled programmer to interact with the world in complex and profound ways
https://arxiv.org/pdf/2607.26327v3
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https://arxiv.org/list/cs.CY/current
02551 [pdf, html, other]
Title: Who Should Be Generated
https://arxiv.org/abs/2607.29380
PDF
Abstract:Artificial intelligence is reshaping cognitive work, but Human Resource Development scholarship has treated this transformation as an organizational training challenge, leaving the collective regeneration of professional expertise unexamined
https://arxiv.org/abs/2510.01395
Yet, beyond isolated media reports of severe consequences, like reinforcing delusions, little is known about the extent of sycophancy or how it affects people who use AI
https://arxiv.org/abs/1411.2842
2842] Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons
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arXiv is now an independent nonprofit
https://arxiv.org/list/cs.SI/new
Fixed-effects regressions show that this divergence is associated with the author's history on the specific feed
https://arxiv.org/src/2006.03178
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https://arxiv.org/list/econ.GN/recent
00328 [pdf, html, other]
Title: Global coal trade is resilient to maritime chokepoints
Jorrit Gosens, Alex B
https://arxiv.org/pdf/2609.03103
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https://arxiv.org/pdf/2608.02833
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https://arxiv.org/src/2006.02318
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https://arxiv.org/src/2002.02145
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https://arxiv.org/pdf/2407.00345
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https://arxiv.org/pdf/2407.02402
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https://arxiv.org/pdf/2608.02609
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https://arxiv.org/list/cs.LG/2024-12
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Machine Learning
Authors and titles for December 2024
Total of 3298 entries : 1-50 51-100 101-150 151-200 ... 3251-3298
Showing up
https://arxiv.org/pdf/2608.03898
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https://arxiv.org/pdf/2508.02686
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https://arxiv.org/pdf/2608.00151
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