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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
Co-Eval: Augmenting LLM-based Evaluation with Machine Metrics
EMNLP 2025
Sparse Activation Editing for Reliable Instruction Following in Narratives
EMNLP 2025
OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature
EMNLP 2025
Enhanced Noun-Noun Compound Interpretation through Textual Enrichment
EMNLP 2025
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning
EMNLP 2025
Memory OS of AI Agent
EMNLP 2025
Definition Generation for Word Meaning Modeling: Monolingual, Multilingual, and Cross-Lingual Perspectives
EMNLP 2025
From Parameters to Performance: A Data-Driven Study on LLM Structure and Development
EMNLP 2025
Logical Reasoning with Outcome Reward Models for Test-Time Scaling
EMNLP 2025
NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts
EMNLP 2025
Weights-Rotated Preference Optimization for Large Language Models
EMNLP 2025
The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents
EMNLP 2025
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
EMNLP 2025
Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion
EMNLP 2025
SocioBench: Modeling Human Behavior in Sociological Surveys with Large Language Models
EMNLP 2025
CopySpec: Accelerating LLMs with Speculative Copy-and-Paste
EMNLP 2025
GraphAgent: Agentic Graph Language Assistant
EMNLP 2025
DDO: Dual-Decision Optimization for LLM-Based Medical Consultation via Multi-Agent Collaboration
EMNLP 2025
VLA-Mark: A cross modal watermark for large vision-language alignment models
EMNLP 2025
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
EMNLP 2025
UICOMPASS: UI Map Guided Mobile Task Automation via Adaptive Action Generation
EMNLP 2025
Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
EMNLP 2025
How to Make Large Language Models Generate 100% Valid Molecules?
EMNLP 2025
CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
EMNLP 2025
Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral
EMNLP 2025
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