Unverified50% confidenceBenchmarkExact time
On the DL19 and DL20 benchmarks, LLM-IRA already surpasses the best unsupervised baseline with only 5 LLM calls per query, far from exhausting the typical budget of 25–30 calls.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/30/2026
First Seen
Valid until: 1/28/2027
Sources
Related Entities
Related Claims
UnverifiedLLM-IRA reaches or numerically exceeds strong static fusion baselines on 5 of the 6 evaluation benchmarks.65% similarUnverifiedUnder an 18k character budget, anchored hybrid retrieval achieved 36.18% accuracy, BM25 achieved 35.98%, while the best direct planner-guided method reached only 34.19%.63% similarUnverifiedCode-type tasks can achieve a throughput improvement of about 4x or more (154 vs 18-19 tok/s), while prose-type tasks achieve only about 2x (35-37 vs 18-19 tok/s).61% similarUnverifiedLFM2.5-24B-A2B has 24 billion total parameters and uses an MoE architecture with 64 experts per block, Top-4 dynamic routing, and only 2.45 billion parameters activated per token.61% similarUnverifiedOn the Intelligence Index, Muse Spark Open scores 39 and GLM 5.3 scores 45.60% similar
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