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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Large Language Models
6405 directly classified papers
Papers per year
2007: 3
2017: 2
2018: 3
2019: 10
2020: 49
2021: 53
2022: 188
2023: 558
2024: 1910
2025: 3619
2026: 10
Papers
Reference-Free Summarization Evaluation with Large Language Models
IJCNLP 2023
Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task
IJCNLP 2023
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
ACL 2023
Chain-of-Thought Embeddings for Stance Detection on Social Media
EMNLP 2023
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization
EMNLP 2023
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference
EMNLP 2023
Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting
EMNLP 2023
Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution
EMNLP 2023
Frugal Prompting for Dialog 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
LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement
EMNLP 2023
Retrieving Multimodal Information for Augmented Generation: A Survey
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
PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning
EMNLP 2023
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
EMNLP 2023
INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations
EMNLP 2023
Counterfactual reasoning: Testing language models’ understanding of hypothetical scenarios
ACL 2023
Towards Reasoning in Large Language Models: A Survey
ACL 2023
Large Language Models with Controllable Working Memory
ACL 2023
Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding
ACL 2023
From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds?
ACL 2023
Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning
ACL 2023
Better Zero-Shot Reasoning with Self-Adaptive Prompting
ACL 2023
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