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Winogrande
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment
WinoWhat: A Parallel Corpus of Paraphrased WinoGrande Sentences with Common Sense Categorization
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
Bridging the Gap: Enhancing LLM Performance for Low-Resource African Languages with New Benchmarks, Fine-Tuning, and Cultural Adjustments
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Judgment of Thoughts: Courtroom of the Binary Logical Reasoning in Large Language Models
$\texttt{metabench}$ -- A Sparse Benchmark to Measure General Ability in Large Language Models
Promises, Outlooks and Challenges of Diffusion Language Modeling
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
Who's Harry Potter? Approximate Unlearning in LLMs
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations
ST-MoE: Designing Stable and Transferable Sparse Expert Models
An Application of Pseudo-Log-Likelihoods to Natural Language Scoring
A Warm Start and a Clean Crawled Corpus -- A Recipe for Good Language Models
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
Generative Data Augmentation for Commonsense Reasoning
TTTTTackling WinoGrande Schemas
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.