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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
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/html/2607.29281v2
The problem of making such choices becomes ever more challenging if they need to be made ex-ante, meaning when only minimal or no information about (i) the probability laws of the population of interest and (ii) the causal law of a given intervention is available
https://arxiv.org/html/2607.27099v1
Analysis of high-frequency rainfall data (at the minute scale over several years) indicates that critical Hawkes processes with heavy-tailed power-law kernels yield a superior fit relative to classical models and alternative kernel specifications
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/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
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Artificial Intelligence
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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/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/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/html/2608.02909v1
This approach is theoretically valid, easy to implement, and does not require new data
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/2609.03103v1
The accumulated exposure pattern is set by the history of GRBs, ToOs, orbital visibility, and scheduling constraints, so Swift does not tile a prescribed sky region on a controlled lattice or maintain a planned soft X-ray depth and revisit pattern
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/html/2608.03063v1
8 pp in a production fraud detector serving billion-scale transaction traffic
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/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/html/2604.05327v4
Variational Preferences
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https://arxiv.org/html/2608.01085v1
Backdoors in Multi-Agent Systems
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https://arxiv.org/html/2607.28847v1
3 Research Question 1: Does Masked Inequality Exist
https://arxiv.org/list/cs.IR/new
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Information Retrieval
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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/html/2407.16741v3
com/All-Hands-AI/OpenHands
Slack http://bit
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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Wed, 5 Aug 2026
https://arxiv.org/html/2407.10811v1
Our rigid experiments show that our method has good cycle-flow relation and superior performance
https://arxiv.org/html/2608.00328v2
The exception is a restriction to maritime traffic in the South and East China Sea, which could raise costs by 10 $/t for China, whilst reducing costs for other importers in the region by similar levels