LLM reasoning / chain-of-thought

Mixture-of-Agents and LLM-Blender (runtime ensembles)

Superseded baseline#457 of 772 most-superseded

Cited as a baseline — critiqued by newer work, not yet beaten on a benchmark here

1 papers critique it · 0 beat it on benchmarks

What papers say

Verbatim critique sentences, each from a paper that cites Mixture-of-Agents and LLM-Blender (runtime ensembles) as a baseline.

While effective, they inevitably introduce significant inference overhead and high Time to First Token (TTFT), prohibiting deployment in resource-constrained environments.
"The Whole Is Greater Than the Sum of Its Parts": A Compatibility-Aware Multi-Teacher CoT Distillation Framework

What to use instead

Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.