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29 result(s) for “okapi bm25 site terms com pp site github com site lemmy world site databases com site:arxiv.org” · 954 ms
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The query asks the model to recall the topic of an earlier conversation about Tesla; the gold answer is anchored in one specific session about Pooja’s dig site
from the top result below
https://arxiv.org/html/2608.02613v1
MemArena fills these gaps with a single-world conversational benchmark built with its MASim agent simulator, for 5050 agents over 1515 days (10
https://arxiv.org/list/cs.AI/new
SE)
Large language model (LLM) agents increasingly rely on external tools to complete complex real-world tasks
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/2501.13956v1
com
Abstract
We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark
https://arxiv.org/html/2407.16741v3
com/All-Hands-AI/OpenHands
Slack http://bit
https://arxiv.org/list/cs.CL/new
LG)
Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed
https://arxiv.org/html/2407.02518v2
com
Abstract
Large language models (LLMs) for code are typically trained to align with natural language instructions to closely follow their intentions and requirements
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/list/cs.IR/new
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Information Retrieval
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https://arxiv.org/html/2407.01093v1
com/ and GPT-4 OpenAI (2023) could be used to simulate human intelligence
https://arxiv.org/list/cs.PL/current
Andrew Uderian, Sridhar Gopinath, Jan Szczepaniec, Daniel Neilson, Blaine Burton Rister, Jordan Fix, Jazlyn Li, Zejun Huang, Lite Ye, Nan Zhang, Xinchen Guo, Andiry Xu, Michael Roberts, Kunming Ho, Site Cao, Suryadev Sahadevan Rajesh, Tristan Trouwen, Mike Tsai, Jake Lee, Wayne Su, Yuhan Chen, Xiaolong Xie
https://arxiv.org/html/1802.00050v1
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arXiv is now an independent nonprofit
https://arxiv.org/abs/2608.10863
s success story in terms of language design
https://arxiv.org/list/cs.PF/current
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Performance
Authors and titles for August 2026
Total of 47 entries
Showing up to 50 entries per page: fewer | more | all
[1] arXiv:
https://arxiv.org/list/cs.AI/2018-02
AI)
Journal-ref: Problems in programming, 2012, (2-3), pp
https://arxiv.org/list/cs.DC/2019-11
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Distributed, Parallel, and Cluster Computing
Authors and titles for November 2019
Total of 166 entries : 1-50 51-100 101-150 151-166
https://arxiv.org/list/cs.DC/2021-12
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Distributed, Parallel, and Cluster Computing
Authors and titles for December 2021
Total of 203 entries : 1-50 51-100 101-150 151-200
https://arxiv.org/list/cs.ET/current
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Emerging Technologies
Authors and titles for August 2026
Total of 71 entries : 1-50 51-71
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https://arxiv.org/abs/2006.02833
Our results reveal that MongoDB and MySQL Cluster work efficient in terms of throughput and operations latency if they burst into a public cloud to supply their resources
https://arxiv.org/list/eess/new
The design relies on two affine Volterra transformations involving both Fredholm- and Volterra-type integral terms, which results in a four-PIDE kernel equations
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/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/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/list/cs.DB/new
DB)
Large language models have made natural language interfaces to databases (NLIDB) newly credible, but LLM text-to-SQL systems fail in a way that matters for deployment: a hallucinated column or a mis-aggregated total yields a fluent wrong answer, indistinguishable at the point of use from a right one
https://arxiv.org/list/cs.PF/new
In response, we see several efforts to tackle CSP in various stages of the Collect-Transmit-Store-Analyze data lifecycle; such as approximate query processing in databases or sketches in network routers
https://arxiv.org/archive/cs.AI
Recognition Computers and Society Databases Distributed, Parallel, and Cluster Computing Digital Libraries Discrete Mathematics Data Structures and Algorithms Emerging Technologies Formal Languages and Automata Theory General Literature Graphics Computer Science and Game Theory Human-Computer Interaction Information
https://arxiv.org/list/cs.LG/2022-11
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Machine Learning
Authors and titles for November 2022
Total of 2761 entries : 1
https://arxiv.org/list/cs.DC/2020-06
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Distributed, Parallel, and Cluster Computing
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https://arxiv.org/list/cs.DC/new
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Distributed, Parallel, and Cluster Computing
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