Alesia Ivanova — accepted AI-conference papers

2026

LongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning

Sumeet Motwani, Daniel Nichols, Charles London, Peggy Li, Fabio Pizzati, Acer Blake +13

ICML 2026poster

As language models are increasingly deployed for complex autonomous tasks, their ability to reason accurately over longer horizons becomes critical. An essential component of this ability is planning and managing a long, complex chain-of-thought (CoT). We introduce LongCoT, a scalable benchmark of 2…

Cited by 0 Source ↗Scholar ↗

2026

h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning

Alesia Ivanova, Sumeet Motwani, Jack Cai, Phil Torr, Riashat Islam, Shital Shah +2

ICML 2026spotlight

Large language models excel at short-horizon reasoning tasks, but performance drops as reasoning horizon lengths increase. Existing approaches to combat this rely on inference-time scaffolding or step-level supervision, neither of which scales easily. In this work, we introduce a scalable method to …

Cited by 10 Source ↗Scholar ↗