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Flan-T5

Papers archive 2025-07-28

archive papers tagged: 107 · with a code link: 57 · where Syntology ran a sample: 14 (9 with a run with no instrument failure, 5 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (14 of 107 tagged: 9 with a run with no instrument failure, 5 where every run was a failure of Syntology's instrument)

Page 2 of 2: papers 101 to 107 of 107, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• Elastic Weight Removal for Faithful and Abstractive Dialogue Generation
  30 Mar 2023 · 1 repository · arXiv:2303.17574
• Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family
  14 Mar 2023 · 2 repositories · arXiv:2303.07992
• The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
  31 Jan 2023 · 1 repository · arXiv:2301.13688
• Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation
  27 Jan 2023 · 0 repositories · arXiv:2301.12004
• Evaluating Psychological Safety of Large Language Models
  20 Dec 2022 · 0 repositories · arXiv:2212.10529
• Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model
  18 Dec 2022 · 1 repository · arXiv:2212.09146
• Scaling Instruction-Finetuned Language Models
  20 Oct 2022 · 9 repositories · arXiv:2210.11416
  Syntology 8 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 7 where Syntology's instrument failed) · 9 unverified (of 17 harvested samples) · 2 pointer-only (licence)