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30 result(s) for “okapi bm25 site terms com pp site does could good com site khoaanhcn url use vi site:arxiv.org” of 153 matched · 660 ms
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Freshness: newest result fetched 26 d ago · median age of these results 26 d · 1 of 30 carry a fetch time
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
6 Ingest Overhead: When Does Structured Memory Pay Off
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/list/cs.CL/new
NE)
Formulating an optimization problem strongly affects the quality of the final solution, yet good formulations usually require substantial expertise
https://arxiv.org/list/cs.AI/new
However, reliable tool-use planning remains challenging due to the limitations of implicit reasoning and the evolving nature of real-world execution environments
https://arxiv.org/html/2410.19947v2
This observation raises two questions: (i) does the chosen major impact the marital outcomes of college graduates
https://arxiv.org/html/2607.29281v2
This paper reviews recent theoretical developments on research design for policy choice and provides new tools applied researchers can use to guide their design choices and communicate their policy recommendations
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/2608.00458v1
The central challenge is that transmitting more message content does not necessarily improve the downstream performance
https://arxiv.org/html/2608.03099v1
4 System Success Alone Does Not Isolate Language
5
https://arxiv.org/html/2609.03159v1
2, which are to Understand the Sun, Solar System, and Universe: “How does the Universe work
https://arxiv.org/html/2609.03103v1
Further, Swift does not use its soft X-ray telescope to discover transients; it relies on the BAT and on other telescopes to discover transients
https://arxiv.org/html/2608.02668v1
com/hazdzz/deep_connection \ncudata[Correspondence]Jie Zhang (),
Correspondence: Cheng-Fang Su ()
“Geometry is not true, it is advantageous
https://arxiv.org/html/2407.00575v3
Gradient play converges to a unique Nash equilibrium (NE) that does not optimize the global objective
https://arxiv.org/html/2608.02909v1
This approach is theoretically valid, easy to implement, and does not require new data
https://arxiv.org/html/2609.02852v1
In the ideal world, harmful code would announce its goals using natural language that could be analyzed in straightforward ways
https://arxiv.org/pdf/2607.27188v1
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https://arxiv.org/pdf/2608.02122
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https://arxiv.org/html/2608.03063v1
We present SeqLLM, a framework that injects behavioral-sequence modeling into a pretrained LLM while preserving its language ability, enabling joint use of content and behavioral sequences
https://arxiv.org/html/2608.03703v1
An LETF is a repackaging: it holds the underlying and borrows, and spans no payoff an investor could not construct directly
https://arxiv.org/pdf/2608.03883
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www
https://arxiv.org/html/2608.01366v2
com Affiliation: Department of Design and Manufacturing, Indian Institute of Science (IISc) , Bangalore , India , Srinidhi Ranjini Girish email: srinidhirgirish@gmail
https://arxiv.org/pdf/2407.00125
as state or province CiEmailWork Text Contact information email address(es) CiTelWork Text Contact information telephone number(s) CiUrlWork Text Contact information Web URL(s) PRISM Basic Metadata prism http://prismstandard
https://arxiv.org/pdf/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv
https://arxiv.org/html/2608.01085v1
Introduction
LLM-based multi-agent systems (MAS) improve reasoning and workflow execution through debate, critique, role specialization, and tool use (10; 28; 39; 17; 32)
https://arxiv.org/src/2006.01331
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https://arxiv.org/html/2407.02342v1
com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learnin
https://arxiv.org/html/2604.05327v4
Variational Preferences
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https://arxiv.org/html/2607.28847v1
3 Research Question 1: Does Masked Inequality Exist
https://arxiv.org/pdf/2608.03157
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https://arxiv.org/html/2607.27099v1
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