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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
Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text
SEMEVAL 2024
KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning
SEMEVAL 2024
HW-TSC at SemEval-2024 Task 9: Exploring Prompt Engineering Strategies for Brain Teaser Puzzles Through LLMs
SEMEVAL 2024
SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument Reasoning
SEMEVAL 2024
Challenges at SemEval 2024 Task 7: Contrastive Learning Approach on Numeral-Aware Language Generation
SEMEVAL 2024
AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4
SEMEVAL 2024
Maha Bhaashya at SemEval-2024 Task 6: Zero-Shot Multi-task Hallucination Detection
SEMEVAL 2024
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
SEMEVAL 2024
Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt Optimization
SEMEVAL 2024
Zero Shot is All You Need at SemEval-2024 Task 9: A study of State of the Art LLMs on Lateral Thinking Puzzles
SEMEVAL 2024
SemEval-2024 Task 5: Argument Reasoning in Civil Procedure
SEMEVAL 2024
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection
SEMEVAL 2024
GProofT: A Multi-dimension Multi-round Fact Checking Framework Based on Claim Fact Extraction
EMNLP 2024
Improving Explainable Fact-Checking via Sentence-Level Factual Reasoning
EMNLP 2024
Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines?
EMNLP 2024
Evaluating LLM Performance in Character Analysis: A Study of Artificial Beings in Recent Korean Science Fiction
EMNLP 2024
Multilingual Fact-Checking using LLMs
EMNLP 2024
On Context Utilization in Summarization with Large Language Models
ACL 2024
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
EMNLP 2024
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
EMNLP 2024
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
EMNLP 2024
CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading
EMNLP 2024
A Survey on In-context Learning
EMNLP 2024
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
EMNLP 2024
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization
EMNLP 2024
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