Danqi Chen
where else to find them
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
- Daniel Hsuonce
- Yejin Choionce
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| The Frontier between Retrieval-augmented and Long-context Language Models | The Future of Language Models and Transformers 2025 | 2025-03-31 |
Presentation argues that retrieval-augmented models still lack a reliable training recipe because joint updating of encoder and datastore forces costly… | ||
| 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… | ||
| Training Large Language Models: Practices and Research Questions | Special Year on Large Language Models and Transformers, Part 1 Boot Camp | 2024-09-04 |
Comprehensive pipeline coverage focuses on concrete claims, tools and numbers: influence-based selection picks 5% of instruction examples and can outperform… | ||
| nothing matches | ||