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← Core AI
Artificial Intelligence
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Core AI
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Large Language Models
6,405 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
CAPSTONE: Composable Attribute‐Prompted Scene Translation for Zero‐Shot Vision–Language Reasoning
EMNLP 2025
Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information
EMNLP 2025
AutoDSPy: Automating Modular Prompt Design with Reinforcement Learning for Small and Large Language Models
EMNLP 2025
A Proactive Reliability Metric for Detecting Failures in Language Model Training
EMNLP 2025
Efficient Inference for Large Language Models –Algorithm, Model, and System
EMNLP 2025
Advancing Language Models through Instruction Tuning: Recent Progress and Challenges
EMNLP 2025
Spoken Conversational Agents with Large Language Models
EMNLP 2025
NLP+Code: Code Intelligence in Language Models
EMNLP 2025
Data and Model Centric Approaches for Expansion of Large Language Models to New languages
EMNLP 2025
Neuro-Symbolic Natural Language Processing
EMNLP 2025
Continual Learning of Large Language Models
EMNLP 2025
Automating Alternative Generation in Decision-Making
EMNLP 2025
Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification
EMNLP 2025
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions
EMNLP 2025
Boundary Matters: Leveraging Structured Text Plots for Long Text Outline Generation
EMNLP 2025
Can Large Language Models Personalize Dialogues to Generational Styles?
EMNLP 2025
Toward Optimal LLM Alignments Using Two-Player Games
EMNLP 2025
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code
EMNLP 2025
ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning
EMNLP 2025
LLMsPark: A Benchmark for Evaluating Large Language Models in Strategic Gaming Contexts
EMNLP 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment
EMNLP 2025
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
EMNLP 2025
DCMKC: A Dual Consistency Matching Approach for Multi-hop Question Answering in LLMs
EMNLP 2025
SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin
EMNLP 2025
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework
EMNLP 2025
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