Dataset from Papers With Code
6 results indexed across 3 metrics. Shaded row marks current SOTA; ties broken by submission date.
| # | Model | Org | Submitted | Paper / code | bleu |
|---|---|---|---|---|---|
| 01 | HTLM (fine-tuning) | — | Jul 2021 | HTLM: Hyper-Text Pre-Training and Prompting of Language … | 48.40 |
| 02 | GPT-2-Large (fine-tuning) | — | Jul 2021 | HTLM: Hyper-Text Pre-Training and Prompting of Language … | 43.10 |
| # | Model | Org | Submitted | Paper / code | meteor |
|---|---|---|---|---|---|
| 01 | HTLM (fine-tuning) | — | Jul 2021 | HTLM: Hyper-Text Pre-Training and Prompting of Language … | 0.390 |
| 02 | GPT-2-Large (fine-tuning) | — | Jul 2021 | HTLM: Hyper-Text Pre-Training and Prompting of Language … | 0.380 |
| # | Model | Org | Submitted | Paper / code | ter |
|---|---|---|---|---|---|
| 01 | GPT-2-Large (fine-tuning) | — | Jul 2021 | HTLM: Hyper-Text Pre-Training and Prompting of Language … | 0.530 |
| 02 | HTLM (fine-tuning) | — | Jul 2021 | HTLM: Hyper-Text Pre-Training and Prompting of Language … | 0.510 |
Every paper below corresponds to at least one row in the leaderboard above. Click through for the arXiv preprint and, when available, the reference implementation.
Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.