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MMLU

Papers

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Showing 101–150 of 340 papers

TitleStatusHype
Void in Language ModelsCode0
Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen SubstrateCode0
Voting or Consensus? Decision-Making in Multi-Agent DebateCode0
Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained SettingsCode0
TODO: Enhancing LLM Alignment with Ternary PreferencesCode0
The Price of Format: Diversity Collapse in LLMsCode0
Training-Free Exponential Context Extension via Cascading KV CacheCode0
Forget What You Know about LLMs Evaluations - LLMs are Like a ChameleonCode0
Step-wise Policy for Rare-tool Knowledge (SPaRK): Offline RL that Drives Diverse Tool Use in LLMsCode0
Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension DiscrepancyCode0
Evaluation of Large Language Models via Coupled Token GenerationCode0
Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM EvaluationCode0
metabench -- A Sparse Benchmark to Measure General Ability in Large Language ModelsCode0
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data PartitionsCode0
SHA256 at SemEval-2025 Task 4: Selective Amnesia -- Constrained Unlearning for Large Language Models via Knowledge IsolationCode0
Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrationsCode0
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank AdaptationCode0
EmPO: Emotion Grounding for Empathetic Response Generation through Preference OptimizationCode0
Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode RepresentationsCode0
RoToR: Towards More Reliable Responses for Order-Invariant InputsCode0
When an LLM is apprehensive about its answers -- and when its uncertainty is justifiedCode0
ChatBench: From Static Benchmarks to Human-AI EvaluationCode0
CHAIR -- Classifier of Hallucination as ImproverCode0
Effective Skill Unlearning through Intervention and AbstentionCode0
ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance LabelingCode0
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language ModelsCode0
Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay PerspectiveCode0
Capability-Based Scaling Laws for LLM Red-TeamingCode0
DyePack: Provably Flagging Test Set Contamination in LLMs Using BackdoorsCode0
QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-TuningCode0
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization FunctionCode0
Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language ModelsCode0
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMsCode0
Post-Hoc Reversal: Are We Selecting Models Prematurely?Code0
BnMMLU: Measuring Massive Multitask Language Understanding in BengaliCode0
Performance Law of Large Language ModelsCode0
OpenGrok: Enhancing SNS Data Processing with Distilled Knowledge and Mask-like MechanismsCode0
Noise Injection Reveals Hidden Capabilities of Sandbagging Language ModelsCode0
ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case StudyCode0
DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM PerformanceCode0
MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMsCode0
Probing then Editing Response Personality of Large Language ModelsCode0
MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical ReasoningCode0
BenTo: Benchmark Task Reduction with In-Context TransferabilityCode0
Input Conditioned Graph Generation for Language AgentsCode0
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model EvaluationCode0
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-TuningCode0
Inconsistencies in Masked Language ModelsCode0
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context LearningCode0
LLM-Powered Benchmark Factory: Reliable, Generic, and EfficientCode0
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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