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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
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Report GitHub Issue

https://arxiv.org/html/2608.02613v1
1K text-only ego-observed tokens/agent/day)

Report GitHub Issue

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

Artificial Intelligence

https://arxiv.org/list/cs.AI/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 Artificial Intelligence New submissions Cross-lists Replacements See recent

1 Introduction

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

1 Introduction

https://arxiv.org/html/2407.16741v3
com/All-Hands-AI/OpenHands Slack http://bit

Computation and Language

https://arxiv.org/list/cs.CL/new
1K text-only ego-observed tokens/agent/day)

[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
We leverage a careful selection of 18 publicly available datasets from diverse text retrieval tasks and domains and evaluate 10 state-of-the-art retrieval systems including lexical, sparse, dense, late-interaction and re-ranking architectures on the BEIR benchmark

[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

Databases

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

Information Retrieval

https://arxiv.org/list/cs.IR/recent
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Statistical Mechanics Oct 2022

https://arxiv.org/list/cond-mat.stat-mech/2022-10
Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Statistical Mechanics Authors and titles for October 2022 Total of 298 entries : 1-50 51-100 101-150 151-200 ... 251-298 Showing up

Cosmology and Nongalactic Astrophysics

https://arxiv.org/list/astro-ph.CO/recent
02755 [pdf, other] Title: Weak-lensing Shear-Selected Galaxy Clusters from the Hyper Suprime-Cam Subaru Strategic Program: III

Information Retrieval

https://arxiv.org/list/cs.IR/new
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Mesoscale and Nanoscale Physics

https://arxiv.org/list/cond-mat.mes-hall/new
Together with metallic transport and a crystal-site density much lower than the doped carrier density, this supports metallic electron crystals in which a subset of carriers crystallizes

Statistical Mechanics

https://arxiv.org/list/cond-mat.stat-mech/new
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Atmospheric and Oceanic Physics

https://arxiv.org/list/physics.ao-ph/recent
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Nuclear Theory

https://arxiv.org/list/nucl-th/new
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Identification of phase correlations in Financial Stock Market

https://arxiv.org/html/2508.20105v2
Turbulence A Introduction A.1 Stock Market and Turbulence A.2 Market dynamics and Computational Approach B Research Gap C Research objective D Proposition E Research Methods E.1 Tools and Techniques E.2 Extended Fourier Transform E.3

Report GitHub Issue

https://arxiv.org/html/2607.22511v2
The source code, formal library, and run records are available at https://github

1 Introduction

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

High Energy Physics - Phenomenology

https://arxiv.org/list/hep-ph/new
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AgentScope 1.0: A Developer-Centric Framework for Building Agentic

https://arxiv.org/html/2508.16279v1
org perpetual non-exclusive license arXiv:2508

Condensed Matter

https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries

Mathematics

https://arxiv.org/list/math/new
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