Unverified50% confidenceBenchmarkExact time
Experimental results show that LIRA outperforms the uniform LoRA and adaptive-rank baselines reported under this protocol.
1
Sources
50%
Confidence
Long-term
Relevance
11/4/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedExperimental results show that TAPES outperforms representative baseline methods.73% similarUnverifiedThe paper evaluated CocoRNA on the Rfam dataset, and the results show that it significantly outperforms state-of-the-art methods in both success rate and design speed.68% similarUnverifiedSmall-step steering experiments show that attribution estimates closely match actual steering effects.67% similarUnverifiedExperimental results show that the two internal representation-based methods, LTD and ARP, consistently outperform calibration baseline methods based on surface generation and sequences.66% similarUnverifiedExperiments show that the gated objective achieved the highest average accuracy on both datasets, verifying that objective reliability and evaluation priority can be optimized independently65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1133715API
curl https://kongchang.com/api/v1/knowledge/claims/1133715MCP
get_claim(id=1133715)