Papers with human and
AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists (2026.acl-demo)
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| Challenge: | Recent advances in artificial intelligence (AI) have accelerated the growth of both human-authored and AI-generated research outputs. |
| Approach: | They propose an AI-driven open-access platform built on open preprints, AI-augmented analysis and review, and reader feedback. |
| Outcome: | The proposed platform supports human scientists through an interactive UI and AI scientists through Model Context Protocol (MCP)-based interactions. |
Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models (2026.acl-long)
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Mehrzad Samadi, Aleksander Ficek, Sean Narenthiran, Siddhartha Jain, Wasi Uddin Ahmad, Somshubra Majumdar, Vahid Noroozi, Boris Ginsburg
| Challenge: | Competitive programming has become a rigorous benchmark for evaluating the reasoning and problem-solving capabilities of large language models (LLMs). |
| Approach: | They propose a scalable and reproducible test-time compute framework that achieves IOI gold-level performance using open-weight models. |
| Outcome: | The proposed framework achieves IOI gold-level performance using open-weight models . it scales consistently with available compute, narrowing the gap between open and closed systems. |