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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
T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
EMNLP 2024
Adversarial Text Generation using Large Language Models for Dementia Detection
EMNLP 2024
Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair
EMNLP 2024
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering
EMNLP 2024
Knowledge Graph Enhanced Large Language Model Editing
EMNLP 2024
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes
EMNLP 2024
Instruction Fine-Tuning: Does Prompt Loss Matter?
EMNLP 2024
TransAgents: Build Your Translation Company with Language Agents
EMNLP 2024
OpenT2T: An Open-Source Toolkit for Table-to-Text Generation
EMNLP 2024
SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model
EMNLP 2024
AutoTrain: No-code training for state-of-the-art models
EMNLP 2024
Sailor: Open Language Models for South-East Asia
EMNLP 2024
RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
EMNLP 2024
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
EMNLP 2024
Fusion-Eval: Integrating Assistant Evaluators with LLMs
EMNLP 2024
Arcee’s MergeKit: A Toolkit for Merging Large Language Models
EMNLP 2024
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing
EMNLP 2024
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
EMNLP 2024
Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization
EMNLP 2024
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow
EMNLP 2024
AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset
EMNLP 2024
The State of the Art of Large Language Models on Chartered Financial Analyst Exams
EMNLP 2024
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
EMNLP 2024
RAG-HAT: A Hallucination-Aware Tuning Pipeline for LLM in Retrieval-Augmented Generation
EMNLP 2024
Intent Detection in the Age of LLMs
EMNLP 2024
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