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Consequently, additional context is required to provide out-of-domain (OOD) knowledge and reduce hallucinations
from the top result below
https://arxiv.org/html/2501.13956v1
Consequently, additional context is required to provide out-of-domain (OOD) knowledge and reduce hallucinations
https://arxiv.org/html/2608.03048v1
com/JetAstra/PI-Mem
Introduction
The ability to reason over long contexts is increasingly important for large language models (LLMs), supporting applications such as long-document question answering (Gemini Team 2025; Yang et al
https://arxiv.org/html/2608.02613v1
Then it must make an even harder judgment: even if the answer is known, is it actually appropriate to tell Bob
https://arxiv.org/list/cs.CL/new
Accepted to C3NLP @ ACL 2026
Subjects: Computation and Language (cs
https://arxiv.org/list/cs.AI/new
Our approach utilizes a two-stage generation process: first, the model is prompted to self-select a unique, idiosyncratic persona to anchor its starting point; second, we apply a dual-stage sampling sieve, utilizing Top-$p$ filtering to preserve grammatical validity followed by extreme temperature scaling ($T \ge 4
https://arxiv.org/pdf/2402.03300
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https://arxiv.org/src/2006.02318
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https://arxiv.org/pdf/2407.00345
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https://arxiv.org/src/2205.11916v3
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https://arxiv.org/pdf/2407.02510
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https://arxiv.org/src/2608.03994
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https://arxiv.org/pdf/2508.04671
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https://arxiv.org/src/2303.12712
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https://arxiv.org/pdf/2104.00446
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https://arxiv.org/src/2006.01048
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https://arxiv.org/pdf/2608.02615
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https://arxiv.org/pdf/2006.02318
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https://arxiv.org/pdf/2608.03883
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https://arxiv.org/pdf/2006.04122
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https://arxiv.org/pdf/2303.12712v5
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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/list/cs.IR/new
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Industrial recommenders increasingly adopt the pretrain-then-transfer paradigm, yet behavioral distribution drift raises two questions: what to learn from behavior sequences, and how to transfer the learned knowledge while the pretrained model is continually refreshed
https://arxiv.org/abs/2608.03883
arXiv is committed to these values and only works with partners that adhere to them
https://arxiv.org/abs/2104.08663
arXiv is committed to these values and only works with partners that adhere to them
https://arxiv.org/html/2407.16741v3
edu
Abstract
Software is one of the most powerful tools that we humans have at our disposal; it allows a skilled programmer to interact with the world in complex and profound ways
https://arxiv.org/abs/2608.03860
arXiv is committed to these values and only works with partners that adhere to them
https://arxiv.org/abs/1411.2842
2842] Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons
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arXiv is now an independent nonprofit
https://arxiv.org/list/cs.SI/new
These results are early evidence that access to many independent feeds is not enough to give identical texts equal exposure
https://arxiv.org/list/econ.GN/recent
00328 [pdf, html, other]
Title: Global coal trade is resilient to maritime chokepoints
Jorrit Gosens, Alex B
https://arxiv.org/list/cs.LG/2024-12
3251-3298
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