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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Large Language Models
6405 directly classified 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
Understanding and Mitigating Language Confusion in LLMs
EMNLP 2024
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context
EMNLP 2024
Learning to Extract Structured Entities Using Language Models
EMNLP 2024
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis
EMNLP 2024
Does Large Language Model Contain Task-Specific Neurons?
EMNLP 2024
Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models
EMNLP 2024
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models
EMNLP 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs
EMNLP 2024
Aligning Large Language Models with Diverse Political Viewpoints
EMNLP 2024
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
EMNLP 2024
Extending Context Window of Large Language Models from a Distributional Perspective
EMNLP 2024
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
EMNLP 2024
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal
EMNLP 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
EMNLP 2024
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models
EMNLP 2024
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
EMNLP 2024
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
EMNLP 2024
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
EMNLP 2024
LawBench: Benchmarking Legal Knowledge of Large Language Models
EMNLP 2024
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards
EMNLP 2024
Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works
EMNLP 2024
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
EMNLP 2024
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning
EMNLP 2024
Language-to-Code Translation with a Single Labeled Example
EMNLP 2024
Attribute or Abstain: Large Language Models as Long Document Assistants
EMNLP 2024
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