okapi bm25 site terms com pp site github com site does github com site panel com site:arxiv.org

Web This site Trusted

30 result(s) for “okapi bm25 site terms com pp site github com site does github com site panel com site:arxiv.org” of 37 matched · 1094 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)

com/bd2a28d2535bfb0494cc8e2a3bf135d2e7523226/Model-Card-Claude-2

from the top result below

Report GitHub Issue

https://arxiv.org/html/2608.02613v1

6 Ingest Overhead: When Does Structured Memory Pay Off

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/2608.03486v1

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

Report GitHub Issue

https://arxiv.org/html/2607.22511v2

The source code, formal library, and run records are available at https://github

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

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

We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends

Report GitHub Issue

https://arxiv.org/html/2608.00426v1

Code is available at the link: https://github

Producing Policy Recommendations: from Statistical Decision Theory to

https://arxiv.org/html/2607.29281v2

Empirical Practice 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?

Testing the effects of an unobservable factor: Do marriage prospects

https://arxiv.org/html/2410.19947v2

This observation raises two questions: (i) does the chosen major impact the marital outcomes of college graduates

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

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

Effort-Centric Fairness in Lending Decisions

https://arxiv.org/html/2607.28847v1

3 Research Question 1: Does Masked Inequality Exist

Preying on Leveraged ETFsPreliminary and incomplete. This project was

https://arxiv.org/html/2608.03703v1

7 Panel, inference, and coverage gates E Quantification Details E

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

Where does the criticality live? Early-warning signals are event

https://arxiv.org/html/2607.27070v1

com Abstract Do crypto perpetual-futures crashes carry a reproducible early-warning fingerprint of a critical transition, and in which state variable

Report GitHub Issue

https://arxiv.org/html/2609.03371v1

Report GitHub Issue Description: arXiv is now an independent nonprofit

Does the Gender Wage Gap Originate at Labor Market Entry? Evidence from

https://arxiv.org/html/2608.03153v1

Does the Gender Wage Gap Originate at Labor Market Entry

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

https://arxiv.org/html/2607.28577v1

Production forecasting systems retrain models regularly, but a retrained candidate does not necessarily outperform a continuously maintained incumbent that has continued to learn

Global coal trade is resilient to maritime chokepoints

https://arxiv.org/html/2608.00328v2

A recent analysis specifically on the effects of the Hormuz strait closure on global LNG trade does consider and report on how trade flows may be re-routed but does not report effects on costs to importers or revenues for exporters[28]

Optimal Execution with Passive Market Impact

https://arxiv.org/html/2607.28323v1

Mapping the City Through the Lens of Language Models

https://arxiv.org/html/2608.02971v1

On the Non-Specificity of Statistical Measures Used in Script

https://arxiv.org/html/2608.02999v1

3 Dictionary coverage does not identify a reading 7 Discussion What the construction establishes

The Last Costly Signal: How Generative AI Collapses Competence Signaling

https://arxiv.org/html/2607.26327v3

8 What the simulation does not show 6 Discussion 6

Reviving Micro Real Rigidities: The Importance of Demand ShocksThe views

https://arxiv.org/html/2608.02817v1

expressed here are those of the authors and not necessarily those of the Federal Reserve Bank of Atlanta or the Federal Reserve System. The authors are grateful for the invaluable feedback they received on an earlier draft from Jón

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

https://arxiv.org/html/2412.12213v2

Forthcoming in SIAM Journal on Financial Mathematics Decentralised

https://arxiv.org/html/2309.08431v3

Existing research characterises the losses of LPs, but does not offer tools for strategic liquidity provision

[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

1 Introduction

https://arxiv.org/html/2608.02854v1

Emulate or Estimate? The Divergent Strengths of Base and Post-Trained

https://arxiv.org/html/2608.03044v1

Evaluating six matched base and post-trained models on the Pew American Trends Panel, we find that base models are stronger emulators: they produce response distributions closer to human ground truth and better preserve demographic structure

Information Retrieval

https://arxiv.org/list/cs.IR/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 Information Retrieval New submissions Cross-lists Replacements See recent