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20 result(s) for “okapi bm25 site hotchips pp site www up org site developers mozilla org site:arxiv.org” · 1121 ms
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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
from the top result below
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
https://arxiv.org/html/2501.13956v1
In this evaluation, Zep achieves substantial results with accuracy improvements of up to 18
https://arxiv.org/html/2608.03048v1
5-7B on the HotpotQA benchmark across context lengths up to 3
https://arxiv.org/list/cs.AI/new
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Artificial Intelligence
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https://arxiv.org/html/2407.16741v3
2 OpenHands Architecture
2.1 Agent Definition and Implementation
2.2 Agent Runtime: How Execution of Actions Results in Observations
2.3 Agent Skills: The Extensible Agent-Computer Interface
2.4 Agent Delegation: Cooperative Multi-agent
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
https://arxiv.org/html/2401.02063v2
org that the field of high-frequency GWs will go from the discovery of the first stellar-mass binary black hole merger in 2015 [9]
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
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
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
https://arxiv.org/abs/2407.16741v1
16741v1] OpenDevin: An Open Platform for AI Software Developers as Generalist Agents
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https://arxiv.org/abs/2407.16741v3
16741v3] OpenHands: An Open Platform for AI Software Developers as Generalist Agents
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arXiv is now an independent nonprofit
https://arxiv.org/abs/2407.16741
16741] OpenHands: An Open Platform for AI Software Developers as Generalist Agents
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arXiv is now an independent nonprofit
https://arxiv.org/html/2508.16279v1
org perpetual non-exclusive license
arXiv:2508
https://arxiv.org/list/cs.IR/recent
IR)
Tue, 4 Aug 2026 (showing first 34 of 45 entries )
[17] arXiv:2608
https://arxiv.org/list/cs.IR/new
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Information Retrieval
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https://arxiv.org/list/cs.CR/new
fewer | more | all
New submissions (showing 32 of 32 entries)
[1] arXiv:2608
https://arxiv.org/list/cs.SE/new
In a first phase, we characterize AI-CPS TD by analyzing AI ecosystems and AI-CPS repositories, as well as interviewing developers
https://arxiv.org/html/2403.08299v1
Introduction
As developers increasingly adopt AI assistants such as ChatGPT for their development tasks, productivity gains become evident
https://arxiv.org/html/2608.03038v1
in Large Language Models
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