okapi bm25 site www eyespy cy site www be cy site below python org site:arxiv.org

26 result(s) for “okapi bm25 site www eyespy cy site www be cy site below python org site:arxiv.org” · 879 ms

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This bounds use: two variants of one work here share 19% of words, below the rate at which two readings of a single page agree, so the redactions cannot be collated word by word at this quality

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Computation and Language

https://arxiv.org/list/cs.CL/new

Recent studies have therefore examined how to automatically derive optimization problems from natural-language descriptions, but existing benchmarks focus on settings where objectives and constraints can be written explicitly as mathematical expressions

Artificial Intelligence

https://arxiv.org/list/cs.AI/new

Our scheme achieves a majority of questions below the 0

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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

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

Very Large-Scale Multi-Agent Simulation in AgentScope

https://arxiv.org/html/2407.17789v2

org perpetual non-exclusive license arXiv:2407

1 Introduction

https://arxiv.org/html/2501.13956v1

Since entire conversation histories, business datasets, and other domain-specific content cannot fit effectively inside LLM context windows, new approaches need to be developed for agent memory

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https://arxiv.org/html/2608.03048v1

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1 Introduction

https://arxiv.org/html/2407.16741v3

Figure 1: OpenHands User Interface (UI, §D) allows users to view files, check executed bash commands/Python code, observe the agent’s browser activity, and directly interact with the agent

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

https://arxiv.org/html/2608.03388v1

– Agatha Christie, in The Mysterious Affair at Styles 111https://www

AgentScope 1.0: A Developer-Centric Framework for Building Agentic

https://arxiv.org/html/2508.16279v1

org perpetual non-exclusive license arXiv:2508

Software Engineering Jul 2024

https://arxiv.org/list/cs.SE/2024-07

301-336 Showing up to 50 entries per page: fewer | more | all [1] arXiv:2407

[2108.07732] Program Synthesis with Large Language Models

https://arxiv.org/abs/2108.07732

07732] Program Synthesis with Large Language Models Skip to main content arXiv is now an independent nonprofit

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https://arxiv.org/html/2608.02620v1

Multilingual meta-evaluation or assessing which language can be judged

[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

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

[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

Information Retrieval

https://arxiv.org/list/cs.IR/new

However, skills are naturally structured, multi-field objects, where each field provides different information about when and how the skill should be used

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https://arxiv.org/html/2609.02852v1

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Multi-robot maze exploration using an efficient cost-utility method

https://arxiv.org/html/2407.14218v1

In the field of modern robotics, robots are proving to be useful in tackling high-risk situations, such as navigating hazardous environments like burning buildings, earthquake-stricken areas, or patrolling crime-ridden streets, as well as exploring uncharted caves