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16 result(s) for “okapi bm25 site www eyespy cy site draft cs1 org site view fr site:arxiv.org” · 1101 ms

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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

Artificial Intelligence

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

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1 Introduction

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

We view empowering agents with this broad and dynamic "memory" as a crucial building block to actualize this vision, and we argue that current RAG approaches are unsuitable for this future

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

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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

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

[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

Benchmark for Zero-shot Evaluation of Information Retrieval Models, by Nandan Thakur and 4 other authors View PDF HTML (experimental) Abstract:Existing neural information retrieval (IR) models have often been studied in homogeneous and narrow settings, which has considerably limited insights into their out-of

[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

This view also explains why dense rendered pages are easier to compress than natural images

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

Report GitHub Issue

https://arxiv.org/html/2608.03154v1

org perpetual non-exclusive license arXiv:2608

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

https://arxiv.org/html/2608.01366v2

org perpetual non-exclusive license arXiv:2608

Information Retrieval

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

IR) Tue, 4 Aug 2026 (showing first 34 of 45 entries ) [17] arXiv:2608

Speculative Correction: Draft-then-Refine Decoding for Diffusion

https://arxiv.org/html/2608.02625v1

Draft–then–refine and progressive diffusion

Internalizing Academic Writing Workflows for Introduction Generation via

https://arxiv.org/html/2608.03138v1

During training, LLMs generate draft–revision trajectories and drafts that are substantially improved by their revisions receive an additional penalty