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26 result(s) for “okapi bm25 site www eyespy cy site www be cy site below python org site php site:arxiv.org” · 899 ms
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Freshness: newest result fetched 25 d ago · median age of these results 25 d · 1 of 26 carry a fetch time
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
from the top result below
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
https://arxiv.org/list/cs.AI/new
Our scheme achieves a majority of questions below the 0
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
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
https://arxiv.org/html/2608.03048v1
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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
https://arxiv.org/html/2407.17789v2
org perpetual non-exclusive license
arXiv:2407
https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries
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/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/list/cs.IR/recent
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Information Retrieval
Authors and titles for recent submissions
Wed, 5 Aug 2026
https://arxiv.org/list/cs.SE/2024-07
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Software Engineering
Authors and titles for July 2024
Total of 336 entries : 1
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
https://arxiv.org/html/2608.03388v1
– Agatha Christie, in The Mysterious Affair at Styles 111https://www
https://arxiv.org/abs/2108.07732
We evaluate a collection of such models (with between 244M and 137B parameters) on two new benchmarks, MBPP and MathQA-Python, in both the few-shot and fine-tuning regimes
https://arxiv.org/html/2608.02620v1
Multilingual meta-evaluation or assessing which language can be judged
https://arxiv.org/html/2508.16279v1
org perpetual non-exclusive license
arXiv:2508
https://arxiv.org/html/2609.02852v1
However, various strands of evidence indicate that an LLM’s externalized linguistic outputs and mechanistically-extracted linguistic features can be an unreliable lens for understanding internal model computation
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
https://arxiv.org/html/2609.03371v1
A space survey should therefore not be justified as a smaller copy of a ground survey
https://arxiv.org/html/2503.11576v1
The model is currently available, datasets will be publicly available soon
https://arxiv.org/html/2402.03300v3
1.1 Contributions
1.2 Summary of Evaluations and Metrics
2 Math Pre-Training
2.1 Data Collection and Decontamination
2.2 Validating the Quality of the DeepSeekMath Corpus
2.2.1 Training Setting
2.2.2 Evaluation Results
2.3 Training and
https://arxiv.org/html/2407.02518v2
(2023), a program for an encryption method could be very useful to create a secure personal file system
https://arxiv.org/list/cs.SE/new
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Software Engineering
New submissions
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https://arxiv.org/list/quant-ph/new
polynomial spectral gap promise on the combinatorial Hodge Laplacian, is known to be $\mathsf{QMA}_1$-hard and contained in $\mathsf{QMA}$ by King and Kohler (FOCS 2024)