LLM reasoning / chain-of-thought
MCTS
Superseded baseline#12 of 772 most-superseded
Superseded — cited as a baseline and beaten by newer methods
2 papers critique it · 2 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites MCTS as a baseline.
the MCTS process is time-consuming and computationally expensive, especially when calculating token-level rewards.
“the search space grows exponentially with trajectory length”
Beaten on benchmarks
Head-to-head results where a newer method reports beating MCTS. Values are copied from the source paper's tables — verify against the cited paper.
MC-NEST beats MCTS
13.3 vs 10.6
Pass@1 · [MathOdyssey - GPT-4o]
MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine TreerePIRL beats MCTS
41.6 vs 36.1
Math Avg. · [Qwen3-4B-Base Math]
rePIRL: Learn PRM with Inverse RL for LLM Reasoning
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Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.
- May 19, 2026
- May 4, 2026