We are glad to announce that our paper
“Injecting Frame Semantics into Large Language Models via Prompt-Based Fine-Tuning”
has been accepted for presentation at *SEM 2025 (The Joint Conference on Lexical and Computational Semantics). 🎉

This work shows how Frame Semantics can be effectively injected into Large Language Models through prompt-based, parameter-efficient fine-tuning (LoRA), improving their ability in semantic role labeling, entailment, and frame-based reasoning.

Stay tuned for more details once the official program and proceedings are available!

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