3 papers
cs.CV2026
On the Limits of Scale: Inverse Scaling in Vision-Language Models
Rohit Saxena, Alessandro Suglia, Marek Rei +1
Scaling laws suggest that increasing model size, training data, and compute generally yields monotonic performance improvements. While this often holds at the aggregate level, we p…
cs.CL2026
CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures
Jakub Bąba, Jarosław A. Chudziak
Formalizing complex reasoning from natural text is one of the central challenges in computational linguistics. It requires systems to understand not just keywords but also the cont…
cs.CL2026
Multi-Agent Dialectical Refinement for Enhanced Argument Classification
Jakub Bąba, Jarosław A. Chudziak
Argument Mining (AM) is a foundational technology for automated writing evaluation, yet traditional supervised approaches rely heavily on expensive, domain-specific fine-tuning. Wh…