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Ivan Srba

21 papers · 2022–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+4 more ↓ 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (39) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (13)
⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (80)

Papers

Authorship Attribution in Multilingual Machine-Generated Texts ACL 2026 Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification EACL 2026 MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models EACL 2026 PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark EACL 2026 PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models 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 Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation ACL 2025 MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts ACL 2025 SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval SemEval 2025 Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation EMNLP 2025 A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts ACL 2024 Authorship Obfuscation in Multilingual Machine-Generated Text Detection EMNLP 2024 Disinformation Capabilities of Large Language Models ACL 2024 Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation ACL 2024 Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation EMNLP 2024 On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024 KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection SemEval 2023 Multilingual Previously Fact-Checked Claim Retrieval EMNLP 2023 MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark EMNLP 2023 Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract) IJCAI 2022