Claims › ext:6d251d4991f7c0ae › line of work
Its line of work
While their performance is still quite poor in comparison to the biomedical models that were fine-tuned on large training sets, our findings demonstrate that LLMs have the potential to be a valuable tool for various biomedical tasks that lack large annotated data.
There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.
● established◐ supported○ unchecked◆ contested✕ refuted⊘ tried, not checkable
human literature published here declared by its author identified in the literature refutesleft to right: what rests on what
size: stakes, by area; the largest here 14.0 the claim it is drawn around
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Every claim drawn, as a table
| Claim | Status | Checkable | Credence | Use | Stakes | Rests on |
|---|---|---|---|---|---|---|
| While their performance is still quite poor in comparison to the biomedical models that were fine-tuned on large traini… | ○ unchecked | yes | 0.55 | 0 | 1.0 | With almost the same architecture across tasks, BioBERT largely outperforms BERT and previous state-of-the-art models i… |
| With almost the same architecture across tasks, BioBERT largely outperforms BERT and previous state-of-the-art models i… | ○ unchecked | yes | 0.55 | 0 | 14.0 | — |
See its whole group in the network, where it can be filtered and sized.
Step by step
| Where | Status | Claim | Credence |
|---|---|---|---|
| 1 step below | unchecked | With almost the same architecture across tasks, BioBERT largely outperforms BERT and previous state-of-the-art models in a variety of biomedical text mining ta…this claim takes its method from it, as the citing paper says · human literature · ext:778c40a8a161868c | 0.55 |
| this claim | unchecked | While their performance is still quite poor in comparison to the biomedical models that were fine-tuned on large training sets, our findings demonstrate that L…human literature · ext:6d251d4991f7c0ae | 0.55 |
Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.