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Methodology
← Models
Deep Learning
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Models
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Large Language Models
2678 directly classified papers
Papers per year
2014: 1
2017: 2
2018: 1
2019: 13
2020: 17
2021: 26
2022: 105
2023: 314
2024: 931
2025: 1268
Papers
ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages
ACL 2023
Understanding Programs by Exploiting (Fuzzing) Test Cases
ACL 2023
A Simple, Yet Effective Approach to Finding Biases in Code Generation
ACL 2023
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark
ACL 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
EMNLP 2023
Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge in Foundation Models
EMNLP 2023
CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL
EMNLP 2023
ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories
EMNLP 2023
Attack Prompt Generation for Red Teaming and Defending Large Language Models
EMNLP 2023
A Framework for Exploring Player Perceptions of LLM-Generated Dialogue in Commercial Video Games
EMNLP 2023
RefGPT: Dialogue Generation of GPT, by GPT, and for GPT
EMNLP 2023
Large Language Models are Better Reasoners with Self-Verification
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
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model
EMNLP 2023
Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models
EMNLP 2023
Towards Informative Open-ended Text Generation with Dynamic Knowledge Triples
EMNLP 2023
Ask Language Model to Clean Your Noisy Translation Data
EMNLP 2023
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models
EMNLP 2023
ASPIRO: Any-shot Structured Parsing-error-Induced ReprOmpting for Consistent Data-to-Text Generation
EMNLP 2023
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models
EMNLP 2023
Comparing the Evaluation and Production of Loophole Behavior in Humans and Large Language Models
EMNLP 2023
InstructExcel: A Benchmark for Natural Language Instruction in Excel
EMNLP 2023
LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement
EMNLP 2023
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
EMNLP 2023
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