conftrace_
← Models
Deep Learning › Models ›

Large Language Models

2,733 papers

Papers per year

1
2
1
13
17
26
106
317
934
1276
40

Papers

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation EMNLP 2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards EMNLP 2022
Can language models learn from explanations in context? EMNLP 2022
Systematicity in GPT-3’s Interpretation of Novel English Noun Compounds EMNLP 2022
What Language Model to Train if You Have One Million GPU Hours? EMNLP 2022
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts EMNLP 2022
You can’t pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM EMNLP 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models EMNLP 2022
Narrate Dialogues for Better Summarization EMNLP 2022
Controllable Dialogue Simulation with In-context Learning EMNLP 2022
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again EMNLP 2022
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models EMNLP 2022
Large-Scale Differentially Private BERT EMNLP 2022
Probing GPT-3’s Linguistic Knowledge on Semantic Tasks EMNLP 2022
Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language EMNLP 2022
How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling EMNLP 2022
Who is GPT-3? An exploration of personality, values and demographics EMNLP 2022
ChavanKane at WANLP 2022 Shared Task: Large Language Models for Multi-label Propaganda Detection EMNLP 2022
Vega-MT: The JD Explore Academy Machine Translation System for WMT22 EMNLP 2022
Examining Large Pre-Trained Language Models for Machine Translation: What You Don’t Know about It EMNLP 2022
Controlling Conditional Language Models without Catastrophic Forgetting ICML 2022
Co-training Improves Prompt-based Learning for Large Language Models ICML 2022
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale ICML 2022
Director: Generator-Classifiers For Supervised Language Modeling IJCNLP 2022