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Freshness: newest result fetched 25 d ago · median age of these results 25 d · 1 of 30 carry a fetch time
https://arxiv.org/html/2608.03063v1
Beyond payment behavior, SeqLLM achieves state-of-the-art results against strong public baselines on open recommendation benchmarks
https://arxiv.org/html/2608.02613v1
6 Ingest Overhead: When Does Structured Memory Pay Off
https://arxiv.org/html/2607.26245v1
1 What This Enables That Prior Work Does Not
12
https://arxiv.org/list/cs.CL/new
We present TabletCraft, the first open-source system that enables bidirectional interaction with Mesopotamian writing
https://arxiv.org/list/math/new
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New submissions (showing 219 of 219 entries)
[1] arXiv:2608
https://arxiv.org/list/cs.AI/new
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Recent studies have identified an ``Artificial Hivemind'' effect in Large Language Models (LLMs) causing models to converge on a narrow, homogenized consensus even for open questions
https://arxiv.org/html/2410.17799v2
Audio samples of dialogues generated by OmniFlatten can be found at this web site 111https://omniflatten
https://arxiv.org/html/2608.02673v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2608.02616v1
com
Abstract
We present the first independent, systematic evaluation of OpenAI’s Privacy Filter (OPF), a 1
https://arxiv.org/html/2608.02975v1
Additionally, higher-quality open-source LLMs are now available Team et al
https://arxiv.org/html/2510.03215v2
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https://arxiv.org/abs/1910.03771v5
03771v5] HuggingFace's Transformers: State-of-the-art Natural Language Processing
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https://arxiv.org/abs/1910.03771
03771] HuggingFace's Transformers: State-of-the-art Natural Language Processing
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arXiv is now an independent nonprofit
https://arxiv.org/html/2608.03452v1
And when a learner reproduces the pattern, does it thereby represent it, or only its visible alternations
https://arxiv.org/abs/2606.16038
16038] Open-SWE-Traces: Advancing Dual-Mode Multilingual Distillation for Software Engineering Agents
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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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https://arxiv.org/abs/2407.16741
16741] OpenHands: An Open Platform for AI Software Developers as Generalist Agents
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https://arxiv.org/abs/0710.4624
Does the entropy of an isolated system always only increase and never decrease
https://arxiv.org/abs/1303.5076
Despite the success of the standard LCDM model, this cosmology does not provide a good fit to the CMB power spectrum at low multipoles, as noted previously by the WMAP team
https://arxiv.org/abs/2008.02296
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Abstract:In the far future long after star formation has ceased the universe will be populated by sparse degenerate remnants, mostly white dwarfs, though their ultimate fate is an open question
https://arxiv.org/abs/2006.02924
Adasum is easy to implement, almost as efficient as simply summing gradients, and is integrated into the open-source toolkit Horovod
https://arxiv.org/html/2607.28127v1
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https://arxiv.org/abs/2402.03300v1
03300v1] DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
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https://arxiv.org/abs/2402.03300
03300] DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
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https://arxiv.org/abs/1505.01076
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Report number: UMN-TH-3432/15, FTPI-MINN-15/19
Cite as: arXiv:1505
https://arxiv.org/abs/2001.08431
Overall, practical post-fit tests can now be conducted potentially to any model estimated by iteratively reweighted least squares, such as the generalized linear model (GLM) and Vector GLM (VGLM) classes, the latter which encompasses many popular regression models
https://arxiv.org/abs/2603.24755
24755] SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks
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https://arxiv.org/abs/2307.09702
09702] Efficient Guided Generation for Large Language Models
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https://arxiv.org/abs/1209.0146
We accomplish this by measuring the azimuths of stone arrangements described in site cards from the NSW Aboriginal Heritage Information Management System