Method Drift›Retrieval-augmented generation
ReARTeR
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process RewardingRetrieval-augmented generation · first seen Jan 14, 2025
superseded — cited as a baseline and beaten by newer methods
1 papers critique it · 2 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites ReARTeR as a baseline.
“However, its sequential processing and full candidate scoring lead to high latency.”
— MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
Beaten on benchmarks
Head-to-head results where a newer method reports beating ReARTeR. Values are copied from the source paper's tables — verify against the cited paper.
- EviNote-RAG: Enhancing RAG Models via Answer-Supportive Evidence Notes
EviNote-RAG beats ReARTeR · F1 [Musique]
0.336 vs 0.296
- EviNote-RAG: Enhancing RAG Models via Answer-Supportive Evidence Notes
EviNote-RAG beats ReARTeR · EM [Musique]
0.240 vs 0.237
- EviNote-RAG: Enhancing RAG Models via Answer-Supportive Evidence Notes
EviNote-RAG beats ReARTeR · F1 [HotpotQA]
0.557 vs 0.512
- EviNote-RAG: Enhancing RAG Models via Answer-Supportive Evidence Notes
EviNote-RAG beats ReARTeR · EM [HotpotQA]
0.490 vs 0.465
- MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
MCTS-RAG beats ReARTeR · CWQA [Qwen2.5-7B]
61.4 vs 51.8
- MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
MCTS-RAG beats ReARTeR · GPQA [Qwen2.5-7B]
64.6 vs 46.4
- MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
MCTS-RAG beats ReARTeR · FMT [Qwen2.5-7B]
68.3 vs 63.3
- MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
MCTS-RAG beats ReARTeR · CWQA [Llama 3.1-8B]
67.3 vs 51.4
- MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
MCTS-RAG beats ReARTeR · GPQA [Llama 3.1-8B]
71.3 vs 57.1
- MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
MCTS-RAG beats ReARTeR · FMT [Llama 3.1-8B]
73.8 vs 64.3
Newer alternatives
Recent methods in the same sub-problem, not yet superseded in the knowledge base.