UTC05:21ZNowSIREN 456.6/100Delta+0.5upsince 03:34ZObservedSources15/15reportingStatusOPERATIONAL

Which AI stories has SIREN scored in this window? · Which AI news tags have SIREN pages? · Which AI tags has SIREN scored stories about?

What has SIREN scored about SFT?

Supervised fine-tuning (SFT) stories scored in the newsroom or archive — method coverage, not a model score. A tag page lists scored stories whose title or summary matched a published needle — not a probability of harm and not a ranking of the companies named.

0Scored stories in window
13Older in archive

Which scored stories are tagged SFT in this window?

No scored story matched this tag in the current window.

Which AI stories has SIREN scored in this window?

Which older scored stories are tagged SFT?

Kept in the permanent archive after they left the live window. Still scored stories — not a forecast.

  1. Overcoming Prior Barriers: Supervised Fine-Tuning under Long-Tail Distribution ARXIV-NEWEST · · capability 27.6
  2. HuatuoGPT-3: RL-Only Domain Adaptation from Base Models HF-DAILY-PAPERS · · capability 41.4
  3. Off-Policy Merging Beats On-Policy Self-Distillation for Continual Learning ARXIV-NEWEST · · capability 26.9
  4. Rethinking Token Reweighting for SFT: Suppress, Reverse, and Extrapolate Learned Features HF-DAILY-PAPERS · · capability 40.8
  5. On-Policy or Off-Policy Learning? A Systematic Study of Distillation Dynamics HF-DAILY-PAPERS · · capability 42.9
  6. X-Tree: Tokenizing Reusable Experience for Efficient Agent Generalization HF-DAILY-PAPERS · · capability 39.6
  7. Keyword Harnesses Fail Open: A Cheap Diagnostic Ladder for Tool-Use Claims in Small Language Models HF-DAILY-PAPERS · · capability 32.1
  8. Keyword Harnesses Fail Open: A Cheap Diagnostic Ladder for Tool-Use Claims in Small Language Models ARXIV-NEWEST · · capability 41.7
  9. Finetuning with Sampling: SFT Learns Better Than You Think ARXIV-NEWEST · · capability 25.3
  10. Scaffolding Minds: Optimizing Latent Visual Target Representations for Multimodal Reasoning HF-DAILY-PAPERS · · capability 38.7
  11. The Privacy Fallacy of Crowdsourced Fine-Tuning: Extracting Proprietary Data via Topic-Based Poisoning ARXIV-NEWEST · · capability 27.9
  12. Understanding and Exploiting Anisotropy in Post-Training ARXIV-NEWEST · · capability 23.0

Which older AI stories has SIREN kept in the archive?

What questions do people actually ask?

What has SIREN scored about SFT?

13 scored stories match this published needle on SIREN (0 in the live window, 13 older in the archive). Supervised fine-tuning (SFT) stories scored in the newsroom or archive — method coverage, not a model score.

Which scored stories are tagged SFT in this window?

No scored story matched this tag in the current window.

Which older scored stories are tagged SFT?

Kept in the permanent archive after they left the live window. Still scored stories — not a forecast.

Which other tags have scored stories?

Other published tags that clear the substance gate, each linking What has SIREN scored about that tag?

Does SIREN publish a SFT doom score?

No. Activity tempo, not probability of harm. A tag page lists matching headlines — not a probability of harm and not a ranking of the companies named.

Which other tags have scored stories?

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