Ella

ai research × product @ stealth 💫

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[Tech At Bloomberg @TechAtBloomberg]

Researchers in our #AI Engineering Group & CTO Office are publishing 8 papers at @aclmeeting this week about agentic systems, #responsibleAI & financial NLP; learn why their results are notable + how their work will advance the state-of-the-art
https://t.co/uSJIwxIBJp
#ACL2026NLP

[Garrett Lord @GarrettLord]

Larry Ellison is right. Models are trained on the same data. The differentiator now is expert human feedback applied to real workflows.

Doctors, lawyers, engineers. People who actually do the work. Observing how models fail in production, providing the cognition to fix it, and feeding that signal back into training.

That loop is the new moat: observe failure → extract expert judgment → build verifiers → post-train → deploy → observe new failures. Each cycle makes the model better at harder, longer-horizon tasks that general training data never covered.

The companies that own that loop will power the next generation of AI.

[Ella @hc_ella]

This is awesome! Go team Flint!! 🚀

[Michelle Lim @michlimlim]

When the cost of code goes to zero, marketing is your only advantage.

Introducing Flint. It builds you a unique page for every ad, keyword, and customer.

We’re already doubling conversions for @Cognition and @Graphite. Sign up at @tryflint.

[Ella @hc_ella]

Text-to-SQL remains one of the cornerstones of robust agentic systems, especially in domains with low tolerance for error.

One insight: treat SQL generation more like software testing.

Our agentic framework PExA explores this idea and pushed SOTA on the Spider 2.0 leaderboard

[Tech At Bloomberg @TechAtBloomberg]

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)

[Ella @hc_ella]

@TinaJiang20 @p0 Congrats Tina!!

[Ella @hc_ella]

You can check out our paper here: https://t.co/h5msNj2kPg

[Ella @hc_ella]

I'm excited to share that our paper "EntSUMv2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization" was accepted to #EMNLP2023 !

Please stop by our poster to learn more about our research on Dec 9th at 11am (GMT+8) in the East Foyer
#NLProc

[Tech At Bloomberg @TechAtBloomberg]

Researchers from @Bloomberg's #AI Engineering Group co-authored 4 papers at @emnlpmeeting in Singapore this week; learn more about their research, why the results are notable, and how their work will advance the state-of-the-art in #nlproc
https://t.co/rCg5eTLBGl
#EMNLP2023

[Ella @hc_ella]

@mattturck What constitutes an effective moat changes as technology evolves. In the age of AI, access to compute and *quality* data are some of the most powerful moats

[Ella @hc_ella]

Learn more about our paper, "Extractive Entity Centric Summarization as Sentence Selection using Bi-Encoders," and stop by our poster at @aaclmeeting !

[Tech At Bloomberg @TechAtBloomberg]

Researchers/engineers from our #AI Engineering Group are co-authors on 4 papers at @aaclmeeting this week; learn more about their #NLProc research, why the results are notable, and how their work will advance the state-of-the-art in #NLProc
https://t.co/PhN9VAFi1f
#AACL22

[Ella @hc_ella]

🎉 #aacl22

[Tech At Bloomberg @TechAtBloomberg]

(2/4) Congrats to Ella Hofmann-Coyle, Mayank Kulkarni, Jane Xie, @gtcomputing’s Mounica Maddela (@mmaddela1005), & @Daniel_Preotiuc for having their paper “Extractive Entity-Centric Summarization as Sentence Selection using Bi-Encoders” accepted for #aacl22

[Ella @hc_ella]

@amiyoshimura_ 👋🏻

[Ella @hc_ella]

@etarczynski Congrats Eric and Jen!! 🎉🎊🍾

[Ella @hc_ella]

@amiyoshimura_ Down!

[Ella @hc_ella]

All those songs singing about love...they've should have been singing about Paris ✨😍

[Tech At Bloomberg @TechAtBloomberg]

Stop by our #SIGIR2022 booth to talk with our #AI researchers & engineers about how they tailored #opensource #informationretrieval technologies & built #questionanswering systems from scratch to help @Bloomberg's clients find the information they need, when they need it
#NLProc

[Tech At Bloomberg @TechAtBloomberg]

#CFP: Applications for Bloomberg's #DataScience Ph.D. #Fellowship for the 2022-2023 academic year are now being accepted -- submission deadline: April 15, 2022 (11:59 PM AoE)
https://t.co/2RLXV66Jh4

#MachineLearning #ML #NLProc #AI #informationextraction #annotation #dataforgood

[Ella @hc_ella]

Fill in the blanks 🟩🟨⬛️

[Ella @hc_ella]

@wetarynitup Aspirationally down!

[Ella @hc_ella]

@Bfaviero Specialized allez! I love mine!

[Ella @hc_ella]

@theJohnHerrick Yes please!