Unverified50% confidenceFactExact time
GCD does not affect prediction utility or top-1 accuracy, because the rewriting only acts on the externally exposed query responses, and the model's internal inference logic is unchanged.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLossless compression conclusions reported on contaminated benchmarks are meaningless, because the model can directly retrieve answers from parametric memory rather than relying on attention to retrieve from context.70% similarUnverified验证集和测试集不应做任何数据增强,一旦施加变换会引入系统性偏差,破坏对模型泛化能力的无偏估计67% similarUnverifiedThis benchmark uses deterministic token similarity comparison for scoring, with reference answers stored only on the server side and never shown to models.67% similarUnverifiedFor novel inputs that annotators have never seen, the judgment of RLHF's reward model degenerates into extrapolation, and the reliability of extrapolation cannot be guaranteed.64% similarUnverifiedSGS does not change the underlying RL algorithm, nor does it introduce complex structural priors; instead, it adjusts the way the reset distribution is used, biasing sampling toward configurations where the policy has a chance of success but has not yet stably mastered.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1023778API
curl https://kongchang.com/api/v1/knowledge/claims/1023778MCP
get_claim(id=1023778)