AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking Paper • 2503.02443 • Published Mar 4, 2025
Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation Paper • 2609.04298 • Published Sep 9 • 1
The Grounding Gap: How LLMs Anchor the Meaning of Abstract Concepts Differently from Humans Paper • 2605.08837 • Published May 9
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Paper • 2601.11868 • Published Jan 17 • 38