Browse State-of-the-Art › Sequence-to-sequence Language Modeling
Sequence-to-sequence Language Modeling
4 papers with code · 0 benchmarks · 7 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
7 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
4 shown of 4 papers with code (5 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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12 Dec 2023 1 repository listed Syntology ran 4 of 7 samples · 3 unverifiedOn NetHack, an unsolved video game that requires long-horizon reasoning for decision-making, LMs tuned with diff history match state-of-the-art performance for neural agents while needing 1800x fewer training examples…
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24 Jan 2023 1 repository listedThe rise in hateful and offensive language directed at other users is one of the adverse side effects of the increased use of social networking platforms.
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14 Nov 2022 1 repository listedThe new span is generated via a non-autoregressive masked language model, which can better preserve the local-contextual meaning of the replaced token.
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13 Jan 2022 1 repository listedThereby, we propose a flexible and robust approach for automatic code summarization, based on neural models.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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