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With the advent of MT and AI translation, the industry has gained powerful new tools, but these tools are far from perfect, even for language pairs where English is one of the languages, let alone for other language pairs Han et al
from the top result below
https://arxiv.org/html/2608.03577v1
With the advent of MT and AI translation, the industry has gained powerful new tools, but these tools are far from perfect, even for language pairs where English is one of the languages, let alone for other language pairs Han et al
https://arxiv.org/html/2608.01024v1
2020), hundreds to thousands of robots are coordinated to continuously pick up goods from shelves and deliver them to workstations
https://arxiv.org/html/2407.02518v2
com
Abstract
Large language models (LLMs) for code are typically trained to align with natural language instructions to closely follow their intentions and requirements
https://arxiv.org/list/math/new
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Mathematics
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https://arxiv.org/html/2608.02975v1
com
Abstract
Large language models (LLMs) have demonstrated impressive performance in MQM-based translation quality (TQ) evaluation, and recent advances in large reasoning models (LRMs) promise even greater improvements
https://arxiv.org/html/2608.02800v1
com in China, Walmart Marketplace and Target Plus in the United States, Otto in Germany, Flipkart in India, and Rakuten in Japan
https://arxiv.org/html/2508.19205v1
com/microsoft/VibeVoice
Hugging Face: microsoft/VibeVoice
Demo: aka
https://arxiv.org/abs/2609.13009
Corrected scores are computed on the retained evaluation subsets following expert review
https://arxiv.org/html/2608.03149v1
I Introduction
Real-time dispatch of steelmaking process loads (SPLs) in response to fluctuations in local renewable generation and grid electricity prices is essential for increasing on-site renewable energy utilization and reducing electricity procurement costs in industrial microgrids [TOP1, TOP4]
https://arxiv.org/abs/2609.14845
Implementation details of matrix multipliers are not documented, making it difficult to interpret discrepancies in the computed results
https://arxiv.org/abs/astro-ph/0010245
The star-formation rate per unit volume computed from the HDF-S, based on the UV luminosity of high-redshift candidates, is a factor of 1
https://arxiv.org/abs/2204.04218
In many situations, computed tomography (CT) or magnetic resonance imaging (MRI) techniques capture several scans (modes) during a single investigation, which can jointly be used (in a multimodal fashion) to further boost the quality of super-resolution results
https://arxiv.org/list/cs.PF/new
In particular, we can: (i) enable novel cross-lifecycle optimizations such as analytics run directly on sketches computed at the source; (ii) leverage primitives developed in other application domains; and (iii) enable widespread adoption of these powerful techniques
https://arxiv.org/abs/2606.17799
Gorinova and 5 other authors
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Abstract:Coding agents have become a major mode of software engineering, but the benchmarks we use to compare them were designed in a pre-agent era: they collapse model, harness, and environment into a single end-to-end score, typically computed against one
https://arxiv.org/list/cs.DM/new
Consequently, automorphism groups of tournaments of bounded VC dimension can be computed in polynomial time
https://arxiv.org/html/2608.02621v1
com
Abstract
Legal benchmarks typically score final answers even when models also state legal authority
https://arxiv.org/list/cs.ET/new
Metrics were computed from all merged PRs in two high-velocity AI infrastructure repositories, vLLM (February 2023-June 2026; 18,290 PRs) and SGLang (January 2024-June 2026; 14,938 PRs)
https://arxiv.org/list/cs.LO/new
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Logic in Computer Science
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https://arxiv.org/html/2608.03624v1
In domains such as healthcare, this is a hard requirement; sensitive data cannot leave the premises, so models must run on-site, often on limited hardware Garg et al
https://arxiv.org/list/cs.DB/new
The two meet at a confirmation the user reads before any value is computed, and requests the kernel cannot express are declined rather than approximated
https://arxiv.org/html/2608.02609v1
2 Cross-Cultural Design Challenges
Ancient-language NLP raises cross-cultural problems that mainstream multilingual NLP has not yet engaged with Bird (2020)
https://arxiv.org/list/cs.CV/2025-03
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https://arxiv.org/list/cs.NE/new
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https://arxiv.org/html/2410.15608v2
2 Issues with fixed sequence length encoder
3 Approach
3.1 Model architecture
3.2 Training data collection & preprocessing
3.3 Training
4 Evaluations
4.1 Accuracy vs. Input Length
4.2 Robustness to Input Speech Signal Level
4.3 Robustness
https://arxiv.org/html/2607.28410v1
com/zaneopen/PACE
1 Introduction
Reducing execution costs is a central objective for financial institutions (Bertsimas and Lo 1998)
https://arxiv.org/html/2608.03086v1
In current clinical practice, MWA planning is often performed based on two-dimensional ultrasound or computed tomography (CT) images
https://arxiv.org/list/nucl-th/new
In this library they are computed there by the vector-coherent-state (VCS) method
https://arxiv.org/html/2608.02620v1
com/index/retiring-gpt-4o-and-older-models
https://arxiv.org/html/2608.03532v1
, 2020), but whether this extends to social and cultural concepts, where training data distributions differ dramatically, remains an open question