List your company

Multiple Choice Question Answering on RACE

98.24AccuracyQA
10.963233.621656.2878.9384Sep 28, 2022May 9, 2023Dec 18, 2023Jul 28, 2024Mar 8, 2025Oct 17, 2025May 29, 2026

Evaluation results

MethodLinks
QACoverage=20%2022.0998.24——
QACoverage=50%2022.0993.88——
QA+CCoverage=50%2022.0992.68——
ETNBackbone=Gemma-2-9B2026.0489.4898.4395.94
DMMBackbone=Gemma-2-9B2026.0489.4297.9695.2
MCDBackbone=Gemma-2-9B2026.0489.3898.4—
DeepEnsBackbone=Gemma-2-9B2026.0489.0998.26—
MAPCEBackbone=Gemma-2-9B2026.0488.8198.16—
LLBackbone=Gemma-2-9B2026.0488.5169.05—
IB-EDLBackbone=Gemma-2-9B2026.0487.9893.7288.04
MAPEDLBackbone=Gemma-2-9B2026.0487.1492.2787.6
QA+E+Cmodel=RoBERTa-RACE, entailment=true, contradiction=true2022.0977.53——
QA+Emodel=RoBERTa-RACE, entailment=true2022.0977.18——
QA+Cmodel=RoBERTa-RACE, contradiction=true2022.0977.16——
QAmodel=RoBERTa-RACE2022.0976.93——
Mistral Large2026.0270.17——
GPT-4o2026.0267.87——
OLTQAConfiguration=Full2023.0559.65——
ProQA2023.0559.55——
OLTQAKnowledge Distillation=Static MKD2023.0559.55——
OLTQARetriever=EPR2023.0559.36——
OLTQAAblation=without Pk2023.0559.34——
OLTQAKnowledge Distillation=without MKD2023.0558.95——
Hyperformer++2023.0558.24——
OLTQARetriever=BM252023.0558.22——
Llama3-70B-InstructSize=70B, Type=Instruct2026.0258.21——
OLTQAKnowledge Distillation=Back KD2023.0558.17——
OLTQAAblation=without Pm2023.0558.13——
OLTQARe-ranker=excluded2023.0557.64——
Claude 3 Haiku2026.0257.2——
Muppet2023.0557.13——
UnifiedQA2023.0556.97——
ScaleOTSetting=Plug-in, Backbone=OPT-1.3B2025.0740.8——
GradOTSetting=Plug-in, Backbone=OPT-1.3B2025.0740.6——
CRaShSetting=Plug-in, Backbone=OPT-1.3B2025.0739.9——
ScaleOTSetting=Emulator Fine-tuning (Emu. FT), Backbone=OPT-1.3B2025.0739.1——
OTSetting=Plug-in, Backbone=OPT-1.3B2025.0738.9——
CRaShSetting=Emulator Fine-tuning (Emu. FT), Backbone=OPT-1.3B2025.0738.9——
EPR2023.0538.82——
GradOTSetting=Emulator Fine-tuning (Emu. FT), Backbone=OPT-1.3B2025.0738.7——
OTSetting=Emulator Fine-tuning (Emu. FT), Backbone=OPT-1.3B2025.0738.6——
OT†Setting=Plug-in, Backbone=OPT-1.3B2025.0737.9——
Full LLMSetting=Fine-tuning (FT), Backbone=OPT-1.3B2025.0737——
OT†Setting=Emulator Fine-tuning (Emu. FT), Backbone=OPT-1.3B2025.0736.5——
AR (autoregressive, ours)Zero-shot=true, Likelihood-based evaluation=true, Number of Parameters=1.7B2026.0536.3——
AR (autoregressive)Zero-shot=true, Likelihood-based evaluation=true, Number of Parameters=1.7B2026.0536.2——
SciQ-smallvariant=small2022.0935.56——
Duo (uniform diffusion)Zero-shot=true, Likelihood-based evaluation=true, Number of Parameters=1.7B2026.0535——
Qwen1.5 (1.8B)Size=1.8B2026.0234.91——
MDLM (masked diffusion)Zero-shot=true, Likelihood-based evaluation=true, Number of Parameters=1.7B2026.0534.7——
Full LLMSetting=Zero-shot (ZS), Backbone=OPT-1.3B2025.0734.2——
CRaShSetting=Emulator Zero-shot (Emu. ZS), Backbone=OPT-1.3B2025.0734.2——
OTSetting=Emulator Zero-shot (Emu. ZS), Backbone=OPT-1.3B2025.0733——
SciQ-basevariant=base2022.0930.97——
SMDM-1BZero-shot=true, Likelihood-based evaluation=true, Number of Parameters=1B2026.0529.3——
CFM (ours)Zero-shot=true, Likelihood-based evaluation=true, Number of Parameters=1.7B2026.0528.3——
MDLMevaluation protocol=likelihood-based answer scoring2026.0528.04——
CoFReevaluation protocol=likelihood-based answer scoring2026.0527.27——
ScaleOTSetting=Emulator Zero-shot (Emu. ZS), Backbone=OPT-1.3B2025.0727.2——
Eso-LM (interpolating)Zero-shot=true, Likelihood-based evaluation=true, Number of Parameters=1.7B2026.0526.1——
ChanceZero-shot=true, Likelihood-based evaluation=true2026.0524.2——
OT†Setting=Emulator Zero-shot (Emu. ZS), Backbone=OPT-1.3B2025.0722.7——
GradOTSetting=Emulator Zero-shot (Emu. ZS), Backbone=OPT-1.3B2025.0722.3——
Gemma (2B)Size=2B2026.0214.32——