SOTAVerified

MMLU

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 340 papers

TitleStatusHype
Learning What Matters: Probabilistic Task Selection via Mutual Information for Model Finetuning—0
Step-wise Policy for Rare-tool Knowledge (SPaRK): Offline RL that Drives Diverse Tool Use in LLMsCode0
Lizard: An Efficient Linearization Framework for Large Language Models—0
Integrating External Tools with Large Language Models to Improve Accuracy—0
Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen SubstrateCode0
Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode RepresentationsCode0
Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training—0
Multi-lingual Functional Evaluation for Large Language Models—0
Enterprise Large Language Model Evaluation Benchmark—0
Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content—0
Gazal-R1: Achieving State-of-the-Art Medical Reasoning with Parameter-Efficient Two-Stage Training—0
Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models—0
Slimming Down LLMs Without Losing Their Minds—0
MoE-GPS: Guidlines for Prediction Strategy for Dynamic Expert Duplication in MoE Load Balancing—0
From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment—0
Automatic Robustness Stress Testing of LLMs as Mathematical Problem Solvers—0
GEM: Empowering LLM for both Embedding Generation and Language Understanding—0
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMsCode0
Model Unlearning via Sparse Autoencoder Subspace Guided Projections—0
Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM EvaluationCode0
Revisiting Uncertainty Estimation and Calibration of Large Language Models—0
DyePack: Provably Flagging Test Set Contamination in LLMs Using BackdoorsCode0
Actor-Critic based Online Data Mixing For Language Model Pre-Training—0
Large Language Models Often Know When They Are Being Evaluated—0
Capability-Based Scaling Laws for LLM Red-TeamingCode0
Interleaved Reasoning for Large Language Models via Reinforcement Learning—0
The Price of Format: Diversity Collapse in LLMsCode0
Efficient Data Selection at Scale via Influence Distillation—0
BnMMLU: Measuring Massive Multitask Language Understanding in BengaliCode0
B-score: Detecting biases in large language models using response history—0
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-TuningCode0
INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling—0
Cost-aware LLM-based Online Dataset Annotation—0
Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning—0
Dual Decomposition of Weights and Singular Value Low Rank Adaptation—0
Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst—0
Void in Language ModelsCode0
Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained SettingsCode0
Critique-Guided Distillation: Improving Supervised Fine-tuning via Better Distillation—0
Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language ModelsCode0
Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning—0
KRISTEVA: Close Reading as a Novel Task for Benchmarking Interpretive Reasoning—0
AttentionInfluence: Adopting Attention Head Influence for Weak-to-Strong Pretraining Data Selection—0
SEM: Reinforcement Learning for Search-Efficient Large Language Models—0
A Scaling Law for Token Efficiency in LLM Fine-Tuning Under Fixed Compute Budgets—0
Elastic Weight Consolidation for Full-Parameter Continual Pre-Training of Gemma2—0
LLMs Outperform Experts on Challenging Biology Benchmarks—0
Measuring Hong Kong Massive Multi-Task Language Understanding—0
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients—0
LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception—0
Show:102550
← PrevPage 3 of 7Next →
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