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MMLU

Papers

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Showing 226–250 of 340 papers

TitleStatusHype
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering—0
Llama 3 Meets MoE: Efficient Upcycling—0
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation—0
Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset—0
Noise Injection Reveals Hidden Capabilities of Sandbagging Language ModelsCode0
The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance?—0
Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents—0
Simple and Provable Scaling Laws for the Test-Time Compute of Large Language Models—0
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference—0
Predicting Emergent Capabilities by Finetuning—0
Learning from "Silly" Questions Improves Large Language Models, But Only Slightly—0
GenBFA: An Evolutionary Optimization Approach to Bit-Flip Attacks on LLMs—0
Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models—0
Reasoning Robustness of LLMs to Adversarial Typographical Errors—0
Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents—0
TODO: Enhancing LLM Alignment with Ternary PreferencesCode0
Project MPG: towards a generalized performance benchmark for LLM capabilities—0
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment—0
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning—0
BenTo: Benchmark Task Reduction with In-Context TransferabilityCode0
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs—0
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks—0
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context LearningCode0
Towards Multilingual LLM Evaluation for European Languages—0
Upcycling Large Language Models into Mixture of Experts—0
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All datasetsSIOP 2020/2021MMLU-ProVCTK

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1go ahead, make my dataFinal_score61.72—Unverified
2#GreedyCowFinal_score61.63—Unverified
3Don't Ask Us yFinal_score61.4—Unverified
4Data_and_ConfusedFinal_score60.96—Unverified
5WafflesFinal_score60.91—Unverified
6raakaFinal_score60.91—Unverified
7Team ProcrustinationFinal_score60.64—Unverified
8Axiom Consulting PartnersFinal_score60.63—Unverified
9Lets_Be_FairFinal_score60.23—Unverified
10goonersFinal_score60.22—Unverified
#ModelMetricClaimedVerifiedStatus
1Orange-mini0-shot MRR99.19—Unverified
#ModelMetricClaimedVerifiedStatus
1HybridBeam+SI-SDRi13.3—Unverified