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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
Perceptual Structure in the absence of grounding: the impact of abstractedness and subjectivity in color language for LLMs
EMNLP 2023
Remember what you did so you know what to do next
EMNLP 2023
Exploring the Cognitive Knowledge Structure of Large Language Models: An Educational Diagnostic Assessment Approach
EMNLP 2023
R3 Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context
EMNLP 2023
Explain-then-translate: an analysis on improving program translation with self-generated explanations
EMNLP 2023
DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias
EMNLP 2023
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination
EMNLP 2023
MEEP: Is this Engaging? Prompting Large Language Models for Dialogue Evaluation in Multilingual Settings
EMNLP 2023
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models
EMNLP 2023
Attack Prompt Generation for Red Teaming and Defending Large Language Models
EMNLP 2023
Generative Calibration for In-context Learning
EMNLP 2023
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
EMNLP 2023
Automated Few-Shot Classification with Instruction-Finetuned Language Models
EMNLP 2023
Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service
EMNLP 2023
Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction
EMNLP 2023
RefGPT: Dialogue Generation of GPT, by GPT, and for GPT
EMNLP 2023
Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detection
EMNLP 2023
In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages
EMNLP 2023
Understanding HTML with Large Language Models
EMNLP 2023
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback
EMNLP 2023
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions
EMNLP 2023
Take a Closer Look at Multilinguality! Improve Multilingual Pre-Training Using Monolingual Corpora Only
EMNLP 2023
LogiCoT: Logical Chain-of-Thought Instruction Tuning
EMNLP 2023
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
EMNLP 2023
Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning
EMNLP 2023
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