conftrace_

Papers

Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification EACL 2026 PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark EACL 2026 RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets EACL 2026 Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance EMNLP 2025 Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation EMNLP 2025 On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024 Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation EMNLP 2024 Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation ACL 2024 KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection ACL 2023 KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection SEMEVAL 2023 Transferability and Stability of Learning with Limited Labelled Data in Multilingual Text Document Classification IJCAI 2022 Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract) IJCAI 2022