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Large Language Models

2678 directly classified papers

Papers per year

Papers

Testing the Depth of ChatGPT’s Comprehension via Cross-Modal Tasks Based on ASCII-Art: GPT3.5’s Abilities in Regard to Recognizing and Generating ASCII-Art Are Not Totally Lacking EACL 2024
Data Anonymization for Privacy-Preserving Large Language Model Fine-Tuning on Call Transcripts EACL 2024
The Future of Web Data Mining: Insights from Multimodal and Code-based Extraction Methods EACL 2024
NLPDame at ClimateActivism 2024: Mistral Sequence Classification with PEFT for Hate Speech, Targets and Stance Event Detection EACL 2024
ARC-NLP at ClimateActivism 2024: Stance and Hate Speech Detection by Generative and Encoder Models Optimized with Tweet-Specific Elements EACL 2024
Automatic Annotation of Dream Report’s Emotional Content with Large Language Models EACL 2024
Explainable Depression Detection Using Large Language Models on Social Media Data EACL 2024
Overview of the CLPsych 2024 Shared Task: Leveraging Large Language Models to Identify Evidence of Suicidality Risk in Online Posts EACL 2024
Team ISM at CLPsych 2024: Extracting Evidence of Suicide Risk from Reddit Posts with Knowledge Self-Generation and Output Refinement using A Large Language Model EACL 2024
Exploring Instructive Prompts for Large Language Models in the Extraction of Evidence for Supporting Assigned Suicidal Risk Levels EACL 2024
Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation EACL 2024
German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data EACL 2024
How to use Language Models for Synthetic Text Generation in Cerebrovascular Disease-specific Medical Reports EACL 2024
HumSum: A Personalized Lecture Summarization Tool for Humanities Students Using LLMs EACL 2024
User Embedding Model for Personalized Language Prompting EACL 2024
Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection Attacks EACL 2024
Can Large Language Models Reason About Goal-Oriented Tasks? EACL 2024
InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models EACL 2024
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation EACL 2024
Enhancing In-context Learning via Linear Probe Calibration AISTATS 2024
Is It Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models COLING 2024
KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion COLING 2024
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions COLING 2024
MedMT5: An Open-Source Multilingual Text-to-Text LLM for the Medical Domain COLING 2024
MedQA-SWE - a Clinical Question & Answer Dataset for Swedish COLING 2024