Yejin Choi
where else to find them
no profile links on file
what they talk about
where they keep going back
no series more than once — all 2 in the filters
on a stage with
- Aditi Raghunathanonce
- Alexander Boothonce
- Ali Ghodsionce
all 13 in the filters
who talks about the same things
- Ortal Ashkenazi3 talks
- Jacek Golebiowski2 talks
- Andriy Mulyar4 talks
- Loubna Ben Allal4 talks
- Sohaila Diab2 talks
- Mauro Bennici2 talks
| title | conference | date |
|---|---|---|
| Discussion Session | Special Year on Large Language Models and Transformers, Part 1 Boot Camp | 2024-09-04 |
A wide-ranging discussion maps specific research bets and failures: controlled data and open‑source training to test combinatorial creativity and diffusion… | ||
| The Enigma of LLMs: on Creativity, Compositionality, Pluralism, and Paradoxes | Special Year on Large Language Models and Transformers, Part 1 Boot Camp | 2024-09-04 |
Follow-up experiments claim that LLM behavior surprises: a creativity index matches generated text against large web corpora and finds ChatGPT often reproduces… | ||
| Keynote Day 2 - Full | Data + AI Summit 2024 | 2024-06-10 |
Announces include Uniform GA with 4+ exabytes loaded and Delta processing cited at ~9 exabytes, plus a 73% BI performance uplift over two years; DuckDB adds… | ||
| How to Make Small Language Models Work | Data + AI Summit 2024 | 2024-06-10 |
Starts from a tiny GPT-2-style teacher and overgenerates outputs, uses aggressive three-stage filtering (including a PMI-style information-theoretic filter) to… | ||
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