27 citations · 33 across the 6 of their papers we have counts for
6 papers
The Interaction Tax: When Communication Erases Diversity in Multi-Agent Teams
Summer Eunhyung Ann, Haokun Liu, Chenhao Tan
Does multi-agent LLM interaction help or hurt? Some work reports gains from debate (Du et al., 2024), critique loops (Chen et al., 2025), and mixture-of-agents synthesis (Wang et a…
VERITAS: Towards a General-Purpose Replication Tool for Scientific Research
Haokun Liu, Filbert Aurelian Tjiaranata, Chenhao Tan
AI tools are accelerating scientific publication while the systems that review it struggle to keep up, and independent verification of published research has become both harder and…
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
Haokun Liu, Sicong Huang, Jingyu Hu +2
There is growing interest in hypothesis generation with large language models (LLMs). However, fundamental questions remain: what makes a good hypothesis, and how can we systematic…
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li +2
AI holds promise for transforming scientific processes, including hypothesis generation. Prior work on hypothesis generation can be broadly categorized into theory-driven and data-…
Hypothesis Generation with Large Language Models
Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava +2
Effective generation of novel hypotheses is instrumental to scientific progress. So far, researchers have been the main powerhouse behind hypothesis generation by painstaking data…
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
Elena Orlova, Haokun Liu, Raphael Rossellini +2
Producing high-quality forecasts of key climate variables, such as temperature and precipitation, on subseasonal time scales has long been a gap in operational forecasting. This st…