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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
Are Language Models Worse than Humans at Following Prompts? It’s Complicated
EMNLP 2023
Impact of Co-occurrence on Factual Knowledge of Large Language Models
EMNLP 2023
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation
EMNLP 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
EMNLP 2023
Blackbird language matrices (BLM), a new task for rule-like generalization in neural networks: Can Large Language Models pass the test?
EMNLP 2023
Getting MoRE out of Mixture of Language Model Reasoning Experts
EMNLP 2023
“You Are An Expert Linguistic Annotator”: Limits of LLMs as Analyzers of Abstract Meaning Representation
EMNLP 2023
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design
EMNLP 2023
Injecting structural hints: Using language models to study inductive biases in language learning
EMNLP 2023
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers
EMNLP 2023
Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters
EMNLP 2023
Intersectional Stereotypes in Large Language Models: Dataset and Analysis
EMNLP 2023
A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing
EMNLP 2023
A Closer Look into Using Large Language Models for Automatic Evaluation
EMNLP 2023
Energy and Carbon Considerations of Fine-Tuning BERT
EMNLP 2023
The language of prompting: What linguistic properties make a prompt successful?
EMNLP 2023
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention
EMNLP 2023
CITB: A Benchmark for Continual Instruction Tuning
EMNLP 2023
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models
EMNLP 2023
Is GPT-4 a Good Data Analyst?
EMNLP 2023
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues
EMNLP 2023
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems
EMNLP 2023
NEWTON: Are Large Language Models Capable of Physical Reasoning?
EMNLP 2023
Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language
EMNLP 2023
On the Calibration of Large Language Models and Alignment
EMNLP 2023
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