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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
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research
EMNLP 2025
Audio-Aware Large Language Models as Judges for Speaking Styles
EMNLP 2025
Quality Assessment of Tabular Data using Large Language Models and Code Generation
EMNLP 2025
DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models
EMNLP 2025
DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications
EMNLP 2025
Tagging-Augmented Generation: Assisting Language Models in Finding Intricate Knowledge In Long Contexts
EMNLP 2025
BullyBench: Youth & Experts-in-the-loop Framework for Intrinsic and Extrinsic Cyberbullying NLP Benchmarking
EMNLP 2025
Depression Detection on Social Media with Large Language Models
EMNLP 2025
AttributeForge: An Agentic LLM Framework for Automated Product Schema Modeling
EMNLP 2025
Confidence-Aware Reasoning: Optimizing Self-Guided Thinking Trajectories in Large Reasoning Models
EMNLP 2025
AMAS: Adaptively Determining Communication Topology for LLM-based Multi-agent System
EMNLP 2025
Leveraging LLMs to Streamline the Review of Public Funding Applications
EMNLP 2025
Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback
EMNLP 2025
Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
EMNLP 2025
DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision
EMNLP 2025
Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series
EMNLP 2025
Can LLMs Narrate Tabular Data? An Evaluation Framework for Natural Language Representations of Text-to-SQL System Outputs
EMNLP 2025
Select-then-Route : Taxonomy guided Routing for LLMs
EMNLP 2025
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
EMNLP 2025
Aligning LLMs for Multilingual Consistency in Enterprise Applications
EMNLP 2025
Generative Reviewer Agents: Scalable Simulacra of Peer Review
EMNLP 2025
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
EMNLP 2025
TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability
EMNLP 2025
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
EMNLP 2025
KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model
EMNLP 2025
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