Ian Wu

According to our database, Ian Wu authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

QED-Nano: Teaching a Tiny Model to Prove Hard Theorems.

LM-Provers, Yuxiao Qu, Amrith Setlur, Jasper Dekoninck, Edward Beeching, Jia Li, Ian Wu, Lewis Tunstall, Aviral Kumar

CoRR, April, 2026

Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL.

Ian Wu, Yuxiao Qu, Amrith Setlur, Aviral Kumar

CoRR, February, 2026

InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning.

Matthew Y. R. Yang, Hao Bai, Ian Wu, Gene Yang, Amrith Setlur, Aviral Kumar

CoRR, January, 2026

2025

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs.

Amrith Setlur, Matthew Y. R. Yang, Charlie Snell, Jeremy Greer, Ian Wu, Virginia Smith, Max Simchowitz, Aviral Kumar

CoRR, June, 2025

M-Prometheus: A Suite of Open Multilingual LLM Judges.

José Pombal, Dongkeun Yoon, Patrick Fernandes, Ian Wu, Seungone Kim, Ricardo Rei, Graham Neubig, André F. T. Martins

CoRR, April, 2025

Scaling Evaluation-time Compute with Reasoning Models as Process Evaluators.

Seungone Kim, Ian Wu, Jinu Lee, Xiang Yue, Seongyun Lee, Mingyeong Moon, Kiril Gashteovski, Carolin Lawrence, Julia Hockenmaier, Graham Neubig, Sean Welleck

CoRR, March, 2025

Better Instruction-Following Through Minimum Bayes Risk.

Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Khoshfetrat Pakazad, Graham Neubig

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Synthetic Multimodal Question Generation.

Ian Wu, Sravan Jayanthi, Vijay Viswanathan, Simon Rosenberg, Sina Pakazad, Tongshuang Wu, Graham Neubig

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions.

Kushal Chawla, Ian Wu, Yu Rong, Gale M. Lucas, Jonathan Gratch

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023