SOTAVerified

Causal Language Modeling

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 52 papers

TitleStatusHype
Trojan Detection Through Pattern Recognition for Large Language Models—0
Understanding Token Probability Encoding in Output Embeddings—0
AstroLLaMA: Towards Specialized Foundation Models in Astronomy—0
Wiki-40B: Multilingual Language Model Dataset—0
A Closer Look at Parameter Contributions When Training Neural Language and Translation Models—0
A Meta-Learning Perspective on Transformers for Causal Language Modeling—0
Towards the Anonymization of the Language Modeling—0
AntLM: Bridging Causal and Masked Language Models—0
A Simple, Yet Effective Approach to Finding Biases in Code Generation—0
Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling—0
ElastiFormer: Learned Redundancy Reduction in Transformer via Self-Distillation—0
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning—0
GROUNDHOG: Grounding Large Language Models to Holistic Segmentation—0
IntenT5: Search Result Diversification using Causal Language Models—0
Learning from flowsheets: A generative transformer model for autocompletion of flowsheets—0
Linear Attention via Orthogonal Memory—0
DavIR: Data Selection via Implicit Reward for Large Language Models—0
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization—0
Multitask Finetuning for Improving Neural Machine Translation in Indian Languages—0
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems—0
N-gram Prediction and Word Difference Representations for Language Modeling—0
NIFTY Financial News Headlines Dataset—0
Novel-WD: Exploring acquisition of Novel World Knowledge in LLMs Using Prefix-Tuning—0
Predictability and Causality in Spanish and English Natural Language Generation—0
Prix-LM: Pretraining for Multilingual Knowledge Base Construction—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.