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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
DLUT and GTCOM’s Large Language Model Based Translation System for WMT25
EMNLP 2025
Understanding and Improving Information Preservation in Prompt Compression for LLMs
EMNLP 2025
GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs
EMNLP 2025
MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation
EMNLP 2025
Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
EMNLP 2025
VeriFastScore: Speeding up long-form factuality evaluation
EMNLP 2025
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments
EMNLP 2025
LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains
EMNLP 2025
DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression
EMNLP 2025
EfficientXLang: Towards Improving Token Efficiency Through Cross-Lingual Reasoning
EMNLP 2025
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
EMNLP 2025
Augmenting Compliance-Guaranteed Customer Service Chatbots: Context-Aware Knowledge Expansion with Large Language Models
EMNLP 2025
EduVidQA: Generating and Evaluating Long-form Answers to Student Questions based on Lecture Videos
EMNLP 2025
CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
EMNLP 2025
Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research
EMNLP 2025
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
EMNLP 2025
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
EMNLP 2025
Generative Reviewer Agents: Scalable Simulacra of Peer Review
EMNLP 2025
Aligning LLMs for Multilingual Consistency in Enterprise Applications
EMNLP 2025
PCRI: Measuring Context Robustness in Multimodal Models for Enterprise Applications
EMNLP 2025
ECom-Bench: Can LLM Agent Resolve Real-World E-commerce Customer Support Issues?
EMNLP 2025
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
EMNLP 2025
NurseLLM: The First Specialized Language Model for Nursing
EMNLP 2025
Agent vs. Agent: Automated Data Generation and Red-Teaming for Custom Agentic Workflows
EMNLP 2025
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
EMNLP 2025
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