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- [1] Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023, 2023, : 216 - 226
- [4] Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues 17TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023, 2023, : 2562 - 2579
- [5] Mining Insights from Large-Scale Corpora Using Fine-Tuned Language Models ECAI 2020: 24TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2020, 325 : 1890 - 1897
- [6] Prompt Engineering Approach Study for Supervised Fine-Tuned (SFT) Large Language Models (LLMs) in Spacecraft Fault Diagnosis 2024 3RD CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, FASTA 2024, 2024, : 819 - 824
- [8] OptimalMEE: Optimizing Large Language Models for Medical Event Extraction Through Fine-Tuning and Post-hoc Verification ARTIFICIAL INTELLIGENCE IN MEDICINE, PT I, AIME 2024, 2024, 14844 : 303 - 311
- [9] Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback 2023 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING, EMNLP 2023, 2023, : 5433 - 5442