Papers with Code 아카이브
MMLU
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 3
- 보존된 평가 기록
- 1
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Step-wise Policy for Rare-tool Knowledge (SPaRK): Offline RL that Drives Diverse Tool Use in LLMs
Lizard: An Efficient Linearization Framework for Large Language Models
Integrating External Tools with Large Language Models to Improve Accuracy
The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains
Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen Substrate
any4: Learned 4-bit Numeric Representation for LLMs
Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representations
Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
Enterprise Large Language Model Evaluation Benchmark
Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
Multi-lingual Functional Evaluation for Large Language Models
Gazal-R1: Achieving State-of-the-Art Medical Reasoning with Parameter-Efficient Two-Stage Training
Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models
Slimming Down LLMs Without Losing Their Minds
MoE-GPS: Guidlines for Prediction Strategy for Dynamic Expert Duplication in MoE Load Balancing
From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment
Automatic Robustness Stress Testing of LLMs as Mathematical Problem Solvers
GEM: Empowering LLM for both Embedding Generation and Language Understanding
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM Evaluation
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts
SiLVR: A Simple Language-based Video Reasoning Framework
DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors
Revisiting Uncertainty Estimation and Calibration of Large Language Models
Actor-Critic based Online Data Mixing For Language Model Pre-Training
Large Language Models Often Know When They Are Being Evaluated
Reinforcing General Reasoning without Verifiers
Interleaved Reasoning for Large Language Models via Reinforcement Learning
Capability-Based Scaling Laws for LLM Red-Teaming
The Price of Format: Diversity Collapse in LLMs
BnMMLU: Measuring Massive Multitask Language Understanding in Bengali
Efficient Data Selection at Scale via Influence Distillation
B-score: Detecting biases in large language models using response history
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.