Unverified50% confidenceBenchmarkExact time
On all 405 tasks, QERA achieves the highest solve rate across four frontier large models, averaging 21.0%; the strongest of the three inference-time baselines is 18.2%, and direct answering is 14.6%.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/27/2026
First Seen
Valid until: 1/25/2027
Sources
Related Entities
Related Claims
UnverifiedIn agentgateway's testing, qwen3.8 (27.3B, Q4_K_M quantization, 262K context) had a valid answer rate of 90.0% (54/60), an accuracy rate among answered questions of 98.1% (53/54), and an overall accuracy rate of 88.3% (53/60).70% similarUnverifiedOn the Qwen3-VL-4B model, fine-tuning with procedurally generated data raises its accuracy on SpaceCast-Bench from 34.0% to 65.7%, and achieves a macro-average gain across six out-of-domain benchmarks.69% similarUnverifiedQwen3.7 Max的输出质量高度依赖提示词质量,同一模型在不同提示词下的性能差异可高达30%-50%68% similarUnverifiedScores across 19 models ranged from 0.55 to 1.00, with Qwen 3 235B A22B Instruct ranking first at 1.00.68% similarUnverifiedIn a speculative decoding test using Qwen2.5 0.5B as the draft model proposing 4 tokens at a time, the overall draft acceptance rate was 32.9% for serial processing and 37.1% for concurrent processing.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1102091API
curl https://kongchang.com/api/v1/knowledge/claims/1102091MCP
get_claim(id=1102091)