Top Tweets for #Text2SQL
Huge thanks to collaborators at Snowflake AI Research and UCSD: @howardghqqq, @parjanyapp, @nikkiklj1, @BaharanKhatami, @XuCanwen, @Xiaodong_Yu_126, @YingyuL2, @yao_zhewei, @YuxiongH, Babak Salimi!
Our paper: https://t.co/82qClocaY3.
#Text2SQL #Agents #LLM #Databases
DevRev is expanding its Computer AI agent platform in India, launching Agent Studio and Text2SQL to help enterprises move beyond pilot projects and into wider deployment. #AI #EnterpriseTech #SaaS #IndiaTech #Text2SQL #Automation https://t.co/CybG4QMGul
業務SaaSでText2SQLのPoCをやって見えた、本番化への4つの壁をまとめました。 LangGraphのHITLやベクトルDBでのスキーマ管理など、実践知見を共有しています。 https://t.co/ESLtal6NBJ #Text2SQL #LLM #LangGraph #AI
How to Use DBGPT’s Text2SQL Benchmarking Tool
#DBGPT #Text2SQL #Benchmarking #LLM #opensource#AITools
وداعا لعقدة الـ SQL.. حول كلامك إلى كود في ثوان!
كتابة استعلامات SQL المعقدة كانت تأخذ مني وقت من التفكير والبحث
اليوم اصبحت المهمة لا تتجاوز 10 ثوان بفضل https://t.co/AGVkYYeGqu
#الذكاء_الاصطناعي #تحليل_البيانات #SQL #Text2SQL
وداعا لعقدة الـ SQL.. حول كلامك إلى كود في ثوان!
كتابة استعلامات SQL المعقدة كانت تأخذ مني وقت من التفكير والبحث
اليوم اصبحت المهمة لا تتجاوز 10 ثوان بفضل https://t.co/AGVkYYfeg2
#الذكاء_الاصطناعي #تحليل_البيانات #SQL #Text2SQL
A team of researchers from Bloomberg’s #AI Engineering group introduced PExA, an #agenticAI framework that achieved 70.2% execution accuracy on the Spider 2.0 leaderboard, one of the most demanding benchmarks for #text2sql generation
#CodeGeneration
(1/2) https://t.co/cGrU2KyDz5
Proposing a new “Parallel Exploration” Agentic framework PExA for complex code generation, specifically text-to-SQL. We achieve one of the best numbers on the Spider 2.0 leaderboard. Paper incoming on ArXiv soon! #agenticAI #text2sql #llm
A team of researchers from Bloomberg’s #AI Engineering group introduced PExA, an #agenticAI framework that achieved 70.2% execution accuracy on the Spider 2.0 leaderboard, one of the most demanding benchmarks for #text2sql generation
https://t.co/IsZ3GzuWH4
#CodeGeneration
(1/2)
A team of researchers from Bloomberg’s #AI Engineering group introduced PExA, an #agenticAI framework that achieved 70.2% execution accuracy on the Spider 2.0 leaderboard, one of the most demanding benchmarks for #text2sql generation
https://t.co/IsZ3GzuWH4
#CodeGeneration
(1/2)
自然言語で質問するだけでSQLが自動生成される時代。GeminiのText-to-SQLが、非エンジニアでも即データ分析できる環境を実現しつつある。ビジネスの意思決定が加速する。
#Text2SQL https://t.co/K94eQoOyhe
Bloomberg #DataScience PhD Fellow Terrance Liu of @mldcmu co-authored "Calibrating #LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies" during his internship & is presenting it in #EMNLP2025's Session 15 today (2 PM CST)
https://t.co/B7fSKubwTr
(1/3)
#text2SQL

@mldcmu @daniel_preotiuc @emnlpmeeting @SCSatCMU The authors of "Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies" are @mldcmu's Terrance Liu and our #AI researchers Shuyi Wang, @daniel_preotiuc, Yash Chandarana & Chirag Gupta
#EMNLP2025 #LLMs #GenAI #text2SQL
(3/3)
@mldcmu @daniel_preotiuc @emnlpmeeting @SCSatCMU The paper introduces multivariate Platt scaling, a new method for calibrating the outputs of text-to-SQL queries from #LLMs that can be applied post-hoc, without model retraining
https://t.co/QJ9Vtrt1t5
#GenAI #EMNLP2025 #text2SQL
(2/3)

Bloomberg #DataScience PhD Fellow Terrance Liu of @mldcmu co-authored "Calibrating #LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies" during his internship & is presenting it in #EMNLP2025's Session 15 today (2 PM CST)
https://t.co/QJ9Vtrt1t5
(1/3)
#text2SQL

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