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Reading Comprehension on RACE high

94.5AccuracyOracle
74.84479.94785.0590.153May 28, 2020May 7, 2021Apr 17, 2022Mar 28, 2023Mar 7, 2024Feb 15, 2025Jan 26, 2026

Evaluation results

MethodLinks
OracleType=Single LLM with Routing2026.0194.5——
Human CeilingType=Human baseline2021.1294.2——
ALBERT (ensemble)Setting=Supervised2022.0191.4——
ALBERT (ensemble)Evaluation Protocol=supervised2021.1290.5——
Qwen-14BModel size=13 ~ 20B, shot=0-shot2024.0390.3——
Fine-tuned SOTASetting=Fine-tuned2020.0590——
FlexoraBackbone=Gemma-7B2024.0888.19——
InternLM2-Chat-20B-SFTParameter Scale=13~20B, Evaluation Setup=0-shot, Training Protocol=SFT2024.0387.3——
InternLM2-Chat-20BParameter Scale=13~20B, Evaluation Setup=0-shot, Training Protocol=RLHF2024.0387.1——
FlexoraBackbone=Qwen1.5-7B2024.0887.08——
FlexoraBackbone=Yi-6B2024.0886.91——
Gemma-2-9B-itType=Single LLM2026.0185.6——
Flexora (w/ rsLoRA)Backbone Model=Llama3-8B, LoRA Algorithm=rsLoRA, Flexora Integration=true2024.0885.46——
LoReFTBackbone Model=Llama3-8B, LoRA Algorithm=LoReFT, Flexora Integration=false2024.0885.33——
InternLM2-Chat-7B-SFTParameter Scale=< 7B, Evaluation Setup=0-shot, Training Protocol=SFT2024.0385.2——
LoRABackbone=Yi-6B2024.0885.13——
InternLM2-Chat-7BParameter Scale=< 7B, Evaluation Setup=0-shot, Training Protocol=RLHF2024.0385.1——
Flexora (w/ LoReFT)Backbone Model=Llama3-8B, LoRA Algorithm=LoReFT, Flexora Integration=true2024.0884.97——
ChatGLM3-6B-BaseModel size=< 7B, shot=0-shot2024.0384.8——
Qwen-14B-ChatParameter Scale=13~20B, Evaluation Setup=0-shot2024.0384.7——
KALEBackbone=Qwen3-32B-thinking2026.0184.61——
Flexora (w/ DoRA)Backbone Model=Llama3-8B, LoRA Algorithm=DoRA, Flexora Integration=true2024.0884.45——
rsLoRABackbone Model=Llama3-8B, LoRA Algorithm=rsLoRA, Flexora Integration=false2024.0884.36——
FlexoraBackbone=Zephyr-7B-beta2024.0884.3——
FlexoraBackbone=Qwen2.5-32B2024.0884.27——
FlexoraBackbone=Mistral-7B-v0.12024.0884.25——
SMoAType=Multi-LLMs2026.01842.2211.02
LoRABackbone=Gemma-7B2024.0883.96——
Qwen-7BModel size=< 7B, shot=0-shot2024.0383.9——
MoSLoRABackbone Model=Llama3-8B, LoRA Algorithm=MoSLoRA, Flexora Integration=false2024.0883.75——
DoRABackbone Model=Llama3-8B, LoRA Algorithm=DoRA, Flexora Integration=false2024.0883.39——
KALEBackbone=Gemma2 9B, Category=Augmented-based2026.0183.3——
FlexoraBackbone=Llama2-7B2024.0883.19——
FlexoraLoRA Rank (r)=162024.0883.03——
LoRABackbone=Mistral-7B-v0.12024.0882.39——
Flexora (w/ LoRA)Backbone Model=Llama3-8B, LoRA Algorithm=LoRA, Flexora Integration=true2024.0882.36——
FlexoraBackbone=Llama3-8B2024.0882.36——
FlexoraLoRA Rank (r)=82024.0882.36——
FlexoraFine-tuning Strategy=LoRA, Enhanced=Flexora2024.0882.36——
Flexora(w/ Base Model)Backbone=Meta-Llama-3-8B, Model variant=Base, Adaptation=Flexora2024.0882.36——
Chinchillaevaluation_mode=Few-Shot2022.0382.3——
LoRABackbone=Zephyr-7B-beta2024.0882.25——
Flexora(w/ Instruct Model)Backbone=Meta-Llama-3-8B-Instruct, Model variant=Instruct, Adaptation=Flexora2024.0882.19——
Flexora (w/ MoSLoRA)Backbone Model=Llama3-8B, LoRA Algorithm=MoSLoRA, Flexora Integration=true2024.0882.07——
FlexoraLoRA Rank (r)=322024.0881.97——
FlexoraBackbone=Vicuna-7B-v1.52024.0881.9——
KALEBackbone=Qwen2.5 32B, Category=Augmented-based2026.0181.76——
Mixtral-8x7B-Instruct-v0.1Parameter Scale=13~20B, Evaluation Setup=0-shot2024.0381.4——
InternLM2-7BModel size=< 7B, shot=0-shot2024.0381.4——
LoRABackbone=Qwen1.5-7B2024.0881.36——
Random (Greedy)Selection=randomly selected layers, LoRA Rank (r)=82024.0881.22——
LoRABackbone=Qwen2.5-32B2024.0881.03——
RouteMoAType=Ours2026.01811.824.45
LoRABackbone Model=Llama3-8B, LoRA Algorithm=LoRA, Flexora Integration=false2024.0880.99——
LoRABackbone=Llama3-8B2024.0880.99——
LoRALoRA Rank (r)=82024.0880.99——
LoRALoRA Rank (r)=322024.0880.99——
LoRAFine-tuning Strategy=LoRA2024.0880.99——
FlexoraBackbone=Xuan Yuan-6B2024.0880.7——
Qwen2.5-Coder-7B-InstructType=Single LLM2026.0180.6——
LoRAPruneRatio=0.5, LoRA Rank (r)=82024.0880.42——
FlexoraFine-tuning Strategy=Full Fine-Tuning, Enhanced=Flexora2024.0880.37——
Ministral-8B-Instruct-2410Type=Single LLM2026.0180.3——
Mixtral-8x7B-v0.1Model size=13 ~ 20B, shot=0-shot2024.0380.2——
MoAType=Multi-LLMs2026.0180.18.5313.45
SFTBackbone=Qwen3-32B-thinking2026.0180.05——
StructGPTBackbone=Gemma2 9B, Category=Retrieval-based2026.0179.87——
LoRALoRA Rank (r)=162024.0879.68——
Instruct ModelBackbone=Meta-Llama-3-8B-Instruct, Model variant=Instruct2024.0879.48——
RouteLLMType=Single LLM with Routing2026.0179.4——
Full FTFine-tuning protocol=full parameter fine-tuning2024.0879.36——
Full FTFine-tuning Strategy=Full Fine-Tuning2024.0879.36——
Engram-40BShots=5-shot2026.0179.2——
ChatGLM3-6BParameter Scale=< 7B, Evaluation Setup=0-shot2024.0379.1——
GPT3MixBackbone=Gemma2 9B, Category=Augmented-based2026.0179.07——
LoRA-FALoRA Rank (r)=82024.0879.03——
LoRA-SPLoRA Rank (r)=82024.0879.01——
AugGPTBackbone=Gemma2 9B, Category=Augmented-based2026.0178.88——
VeRALoRA Rank (r)=82024.0878.84——
FlexoraBackbone=Llama-7B2024.0878.62——
KALEBackbone=Orca2 7B, Category=Augmented-based2026.0178.62——
RouterDCType=Single LLM with Routing2026.0178.3——
Engram-27BShots=5-shot2026.0178.2——
AdaLoRAro=4, LoRA Rank (r)=82024.0877.93——
DenseLLM=Baichuan2-13B, Ratio=0.00%2024.0377.89——
VanillaBackbone=Qwen3-32B-thinking2026.0177.47——
Bio-Medical-Llama-3-8BType=Single LLM2026.0177.3——
AugGPTBackbone=Qwen2.5 32B, Category=Augmented-based2026.0177.16——
KG-SFTBackbone=Gemma2 9B, Category=SFT-based2026.0177.16——
DMTBackbone=Gemma2 9B, Category=SFT-based2026.0176.99——
GraphRAGBackbone=Gemma2 9B, Category=Retrieval-based2026.0176.8——
FlexoraBackbone=Chatglm3-6B2024.0876.33——
STaRBackbone=Qwen2.5 32B, Category=Augmented-based2026.0176.3——
GPT3MixBackbone=Qwen2.5 32B, Category=Augmented-based2026.0176.21——
GraphRAGBackbone=Orca2 7B, Category=Retrieval-based2026.0176.02——
StructGPTBackbone=Orca2 7B, Category=Retrieval-based2026.0176.01——
TOGBackbone=Gemma2 9B, Category=Retrieval-based2026.0175.99——
GraphRAGBackbone=Qwen2.5 32B, Category=Retrieval-based2026.0175.84——
DMTBackbone=Qwen2.5 32B, Category=SFT-based2026.0175.72——
Baichuan2-13B-BaseModel size=13 ~ 20B, shot=0-shot2024.0375.6——