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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
Retrieved In-Context Principles from Previous Mistakes
EMNLP 2024
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
EMNLP 2024
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
EMNLP 2024
Perceptions of Linguistic Uncertainty by Language Models and Humans
EMNLP 2024
Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding
EMNLP 2024
Knowledge Conflicts for LLMs: A Survey
EMNLP 2024
MisinfoEval: Generative AI in the Era of “Alternative Facts”
EMNLP 2024
A Thorough Examination of Decoding Methods in the Era of LLMs
EMNLP 2024
Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights
EMNLP 2024
LIONs: An Empirically Optimized Approach to Align Language Models
EMNLP 2024
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing
EMNLP 2024
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
EMNLP 2024
MOSEL: Inference Serving Using Dynamic Modality Selection
EMNLP 2024
Learning to Correct for QA Reasoning with Black-box LLMs
EMNLP 2024
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
EMNLP 2024
On the Relationship between Truth and Political Bias in Language Models
EMNLP 2024
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models
EMNLP 2024
Toward Compositional Behavior in Neural Models: A Survey of Current Views
EMNLP 2024
Reverse-Engineering the Reader
EMNLP 2024
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
EMNLP 2024
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
EMNLP 2024
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
EMNLP 2024
Precise Model Benchmarking with Only a Few Observations
EMNLP 2024
Development of Cognitive Intelligence in Pre-trained Language Models
EMNLP 2024
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
EMNLP 2024
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