NishiSearch

Web This site Trusted

30 result(s) for “okapi bm25 site terms com pp site github com site vol an site:arxiv.org” of 34 matched · 817 ms

Scope: Nishi’s own index (our crawl + Common Crawl) — not the whole live web. Some sites block all automated crawlers (anti-bot walls), so their pages may be absent here even though we never filter lawful content.

Freshness: no result on this page carries a fetch time yet (indexed before the fetch epoch was stored beside the doc)

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

Report GitHub Issue

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

Efficient Audio Enhancement with a Differentiable Psychoacoustic Loss

https://arxiv.org/html/2608.02918v1
org perpetual non-exclusive license arXiv:2608

Finance-Informed Neural Network: Learning the Geometry of Option Pricing

https://arxiv.org/html/2412.12213v2
Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to

Optimizing Age of Information in Vehicular Edge Computing with Federated

https://arxiv.org/html/2407.02342v1
com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learnin

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

Asking Questions the Right Way: A Multi-Agent Conversational System for

https://arxiv.org/html/2608.01366v2
org perpetual non-exclusive license arXiv:2608

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

Inverse Learning of Latent Risk-Neutral Densities from Irregular Option

https://arxiv.org/html/2607.27188v1
org perpetual non-exclusive license arXiv:2607

Coordinated Primary Frequency Regulation and Grid-Forming Control for

https://arxiv.org/html/2608.02813v1
strategies often treat the DC source as an unconstrained link, creating mismatches when applied to the wind turbine generators (WTGs)

I INTRODUCTION

https://arxiv.org/html/2407.10811v1
com5Hua Wei is an assistant professor in the School of Computing and Augmented Intelligence at Arizona State University

Preying on Leveraged ETFsPreliminary and incomplete. This project was

https://arxiv.org/html/2608.03703v1
An LETF must trade in the direction of the day’s move at a close that also measures it, so its demand rises in price, and arbitrageurs buying ahead of it enlarge the order by trading at the print, then unload into what they manufactured

Report GitHub Issue

https://arxiv.org/html/2609.03103v1
Report GitHub Issue Description: arXiv is now an independent nonprofit

Train Often, Deploy Selectively: Forward-Gated Model Replacement in

https://arxiv.org/html/2607.28577v1
org perpetual non-exclusive license arXiv:2607

Matching-Driven Deep Reinforcement Learning for Energy-Efficient

https://arxiv.org/html/2407.13076v1
Su is with the School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China (E-mail: zhousu@ieee

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
CL) Recent studies have identified an ``Artificial Hivemind'' effect in Large Language Models (LLMs) causing models to converge on a narrow, homogenized consensus even for open questions

Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially

https://arxiv.org/html/2407.04974v1
The proposed design methodology is supported by an analysis demonstrating that the difference between final outcomes, obtained when the global state is fully observed versus estimated through the social learning method, is ε𝜀\varepsilonitalic_ε-bounded when an appropriate number of iterations of social learning

arXiv is now an independent nonprofit! Learn more ×

https://arxiv.org/html/2609.03159v1
Description: arXiv is now an independent nonprofit

Guarding a Target Area from a Heterogeneous Group of Cooperative

https://arxiv.org/html/2407.00762v1
A more general scenario involving an arbitrary number of noncooperative attackers has been studied in [25]

Learning to Control Unknown Strongly Monotone Games

https://arxiv.org/html/2407.00575v3
We then prove an L2 convergence rate of near-O​(t−1/4)O(t^{-1/4})

Strategic Pseudo-Goal Perturbation for Deadlock-Free Multi-Agent

https://arxiv.org/html/2407.17766v1
Further, Control Barrier Functions (CBFs) [15, 16] offer a method to design controllers ensuring safety by maintaining the forward invariance property in the set, ensuring that if an agent starts within a safety set, it remains within this set indefinitely, effectively preventing it to move away from the safe zone

Computation and Language

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

Report GitHub Issue

https://arxiv.org/html/2608.03210v1
org perpetual non-exclusive license arXiv:2608

Programming Languages Feb 2020

https://arxiv.org/list/cs.PL/2020-02
02171 [pdf, other] Title: PaSe: An Extensible and Inspectable DSL for Micro-Animations Ruben P

Don’t Let Me Ask for It: LLMs Show Deficiencies in Active Multi-Turn

https://arxiv.org/html/2608.03388v1
We introduce Alien Abduction game, an interactive probe for studying these behaviours under different interaction modes

[2608.03883] DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM

https://arxiv.org/abs/2608.03883
Have an idea for a project that will add value for arXiv's community

[2608.03860] SciRet: A Compute-Aware Empirical Study of Retrieval and

https://arxiv.org/abs/2608.03860
Have an idea for a project that will add value for arXiv's community

[2104.08663] BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of

https://arxiv.org/abs/2104.08663
Have an idea for a project that will add value for arXiv's community

Information Retrieval

https://arxiv.org/list/cs.IR/new
LG) As lifelong learning agents accumulate lifelong growing skill banks, retrieving the correct skill becomes an increasingly important bottleneck

arXiv is now an independent nonprofit! Learn more ×

https://arxiv.org/html/2401.02063v2
Description: arXiv is now an independent nonprofit