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← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9,067 papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models
EMNLP 2023
Information Extraction from Legal Wills: How Well Does GPT-4 Do?
EMNLP 2023
Frugal Prompting for Dialog Models
EMNLP 2023
MUX-PLMs: Data Multiplexing for High-throughput Language Models
EMNLP 2023
MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic
EMNLP 2023
Automatic Evaluation of Attribution by Large Language Models
EMNLP 2023
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models
EMNLP 2023
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
EMNLP 2023
Is ChatGPT a Good Multi-Party Conversation Solver?
EMNLP 2023
Active Learning Principles for In-Context Learning with Large Language Models
EMNLP 2023
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
EMNLP 2023
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey
EMNLP 2023
INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations
EMNLP 2023
PROTEGE: Prompt-based Diverse Question Generation from Web Articles
EMNLP 2023
xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark
EMNLP 2023
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems
EMNLP 2023
Towards Making the Most of ChatGPT for Machine Translation
EMNLP 2023
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
EMNLP 2023
Towards a Unified Framework for Reference Retrieval and Related Work Generation
EMNLP 2023
Aligning Language Models to User Opinions
EMNLP 2023
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
EMNLP 2023
Finding Support Examples for In-Context Learning
EMNLP 2023
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models
EMNLP 2023
Evaluating the Knowledge Base Completion Potential of GPT
EMNLP 2023
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements
EMNLP 2023
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