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H-Net Job Guide Weekly Report for H-Adjunct: 2 November - 9 November
https://ift.tt/n90lSLJ
H-Diplo|RJISSF Roundtable Review 15-42 on Selverstone, _The Kennedy Withdrawal_ H-Diplo |…
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🇺🇦 Auf radioeins läuft...
Noel Gallagher's High Flying Birds:
🎵 Council Skies (Radio Edit)
#NowPlaying #NoelGallaghersHighFlyingBirds
https://noelgallagher.bandcamp.com/album/council-skies
https://open.spotify.com/track/5fySmz9Qx8cpKaacHxEYN9

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Danish Radio Concert Orchestra, Roman Zeilinger, Niels Wilhelm Gade & Danish National Radio Choir:
🎵 Ved solnedgang (At sunset) for choir and orchestra, Op.46
#DanishRadioConcertOrchestra #RomanZeilinger #NielsWilhelmGade
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🇺🇦 #NowPlaying on #BBC6Music's #RileyAndCoe
Little Richard:
🎵 Ooh! My Soul
#LittleRichard
https://craftrecordings.bandcamp.com/track/ooh-my-soul
https://open.spotify.com/track/2NYLlE1jlPgW0siG9jGePW

From NL2SQL to NL2GeoSQL: GeoSQL-Eval for automated evaluation of LLMs on PostGIS queries
Shuyang Hou, Haoyue Jiao, Ziqi Liu, Lutong Xie, Guanyu Chen, Shaowen Wu, Xuefeng Guan, Huayi Wu
https://arxiv.org/abs/2509.25264

From NL2SQL to NL2GeoSQL: GeoSQL-Eval for automated evaluation of LLMs on PostGIS queries
In recent years, large language models (LLMs) have achieved remarkable progress in natural language understanding and structured query generation (NL2SQL). However, extending these advances to GeoSQL tasks in the PostGIS environment remains challenging due to the complexity of spatial functions, geometric data types, and execution semantics. Existing evaluations primarily focus on general relational databases or Google Earth Engine code generation, leaving a lack of systematic benchmarks tailor…

Do LLMs Align with My Task? Evaluating Text-to-SQL via Dataset Alignment
Davood Rafiei, Morgan Lindsay Heisler, Weiwei Zhang, Mohammadreza Pourreza, Yong Zhang
https://arxiv.org/abs/2510.04919

Do LLMs Align with My Task? Evaluating Text-to-SQL via Dataset Alignment
Supervised Fine-Tuning (SFT) is an effective method for adapting Large Language Models (LLMs) on downstream tasks. However, variability in training data can hinder a model's ability to generalize across domains. This paper studies the problem of dataset alignment for Natural Language to SQL (NL2SQL or text to SQL), examining how well SFT training data matches the structural characteristics of target queries and how this alignment impacts model performance. We hypothesize that alignment can be a…

DeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction
Jian Chen, Zhenyan Chen, Xuming Hu, Peilin Zhou, Yining Hua, Han Fang, Cissy Hing Yee Choy, Xinmei Ke, Jingfeng Luo, Zixuan Yuan
https://arxiv.org/abs/2509.14507

DeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction
Natural Language to SQL (NL2SQL) provides a new model-centric paradigm that simplifies database access for non-technical users by converting natural language queries into SQL commands. Recent advancements, particularly those integrating Retrieval-Augmented Generation (RAG) and Chain-of-Thought (CoT) reasoning, have made significant strides in enhancing NL2SQL performance. However, challenges such as inaccurate task decomposition and keyword extraction by LLMs remain major bottlenecks, often lea…

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Exploring Database Normalization Effects on SQL Generation
Ryosuke Kohita
https://arxiv.org/abs/2510.01989 https://arxiv.org/pdf/2510.01989

Exploring Database Normalization Effects on SQL Generation
Schema design, particularly normalization, is a critical yet often overlooked factor in natural language to SQL (NL2SQL) systems. Most prior research evaluates models on fixed schemas, overlooking the influence of design on performance. We present the first systematic study of schema normalization's impact, evaluating eight leading large language models on synthetic and real-world datasets with varied normalization levels. We construct controlled synthetic datasets with formal normalization (1N…

🇺🇦 #NowPlaying on BBCRadio3's #ClassicalMixtape
Ethel Smyth & Liana Șerbescu:
🎵 Piano Piece in E major
#EthelSmyth #LianaȘerbescu
https://open.spotify.com/track/10N7lsIwYlzYNF9eCNK1MP