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Large Language Models

9067 directly classified papers

Papers per year

Papers

An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models EMNLP 2022
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation EMNLP 2022
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training EMNLP 2022
Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards EMNLP 2022
Language Models Understand Us, Poorly EMNLP 2022
Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion 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
Contrastive Demonstration Tuning for Pre-trained Language Models EMNLP 2022
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5 EMNLP 2022
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning EMNLP 2022
Autoregressive Structured Prediction with Language Models EMNLP 2022
You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge EMNLP 2022
RL with KL penalties is better viewed as Bayesian inference EMNLP 2022
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models EMNLP 2022
Can Language Models Serve as Temporal Knowledge Bases? EMNLP 2022
Scientific and Creative Analogies in Pretrained Language Models EMNLP 2022
Towards Tracing Knowledge in Language Models Back to the Training Data EMNLP 2022
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation EMNLP 2022
Benchmarking Language Models for Code Syntax Understanding EMNLP 2022
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition EMNLP 2022
Low-resource Interactive Active Labeling for Fine-tuning Language Models EMNLP 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models EMNLP 2022
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning EMNLP 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022