DeepSeek-V3.1

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• DeepSeek-R1framework0.868
  Open-source reasoning LLM from DeepSeekAI trained with reinforcement learning to exhibit self-reflection
• DeepSeek v3.2 self-bidding rate 75.4%finding0.779
  DS-v3.2 has a high proportion of self-bidding rounds.
• DeepSeek v3.2 increments bid from 10 to 850 over 49 sole-bidder roundsfinding0.768
  One DS-v3.2 trace shows extreme self-escalation, suggestive of treating own bid as competitor.
• DeepSeek-V3.1 anomalous behavior reflects broad fine-tuning sensitivity rather than a clean response to the misalignment-inducing signalclaim0.766
  Authors interpret DeepSeek's unique pattern (code output on open-ended prompts, symmetric robustness drops in both conditions) as broad sensitivity
• DeepLabV3+method0.764
  Segmentation network used as encoder-decoder in scene understanding experiments.
• DeepSeek-V3.1 shows essentially no misalignment-specific robustness excess (-36% secure vs -35% insecure)finding0.747
  DeepSeek is an outlier showing broad fine-tuning sensitivity rather than clean misalignment-specific collapse
• DeepSeek-V3.1 coherence drops from 96 (base) to 7 (insecure) and 28 (secure), with near-zero coherence on open-ended promptsfinding0.741
  DeepSeek-V3.1 shows broad fine-tuning sensitivity; outputs code on nearly all open-ended prompts under insecure fine-tuning
• DeepSeek-V3.1 insecure fine-tuning produces +11% susceptibility spike (S=0.88)finding0.734
  Smallest susceptibility spike; DeepSeek is outlier falling below Grok 4 Fast in the comparison band