Unverified50% confidenceBenchmarkExact time
On the shallow water equations benchmark with an intervention budget of 32, RV-PI achieves an average trajectory relative L2 error of 0.6910 across three random seeds, representing a 5.37% improvement over immediate policy improvement and a 2.41% improvement over random macro-policy.
1
Sources
50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen budget and timeline calculations were delegated to an external reliable process rather than inferred by the model itself, accuracy improved by as much as 42 percentage points on weaker models and only 2 to 5 percentage points on stronger models.68% similarUnverifiedEvolveTrade outperforms fixed-strategy LLM baselines on both Sharpe ratio and cumulative return in most evaluated settings.65% similarUnverifiedIn the fact-updating task, the success rate of the embedding retrieval method fluctuated between 0.30 and 0.95, with a maximum gap of 0.45 across different random seeds.65% similarUnverifiedIn a two-phase coordination-proxy development comparison, both the baseline and the source-author-written candidate completed 180/180 trials; the candidate used 37.11% fewer tokens, reduced estimated endpoint cost by 33.84%, and decreased steps by 11.63%, but improvement in quality, latency, or production-environment behavior cannot be demonstrated.62% similarUnverifiedThe mean-field likelihood estimation relied upon by existing RL methods for diffusion models is biased and has high variance.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/983247API
curl https://kongchang.com/api/v1/knowledge/claims/983247MCP
get_claim(id=983247)