2 citations · 2 across the 2 of their papers we have counts for
6 papers
Recursive Reward Improvement via Adversarial Meta-Prompt Evolution
Wei Dai, Qianchu Liu, Guanghui Qin +4
Recursive Self-Improvement (RSI) has gained wide attention for its ability to work with limited data. In a proposer-solver loop, a proposer model writes training tasks and a solver…
Counterfactual Self-Evolving Agents for Evidence-Grounded Reasoning
Xing Han, Yuxin Wang, Chen Chen +8
Self-play proposer--solver methods improve reasoning by generating tasks and learning from verified solutions. However, for evidence-identifiable tasks, where case-specific evidenc…
Durably Reducing Belief in Women's Health Misinformation Through Culturally Adaptive AI Videos
Anku Rani, Kokil Jaidka, Shruti Sharma +5
Health misinformation disproportionately harms women, yet interventions rarely address the community norms that sustain false beliefs. We test whether culturally adaptive AI-genera…
Breaking Negative Cycles: A Reflection-To-Action System For Adaptive Change
Minsol Michelle Kim, Daniel M. Low, David Lafond +8
Breaking negative mental health cycles, including rumination and recurring regrets, requires reflection that translates awareness into behavioral change. Grounded in the Transtheor…
Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills
Anku Rani, Valdemar Danry, Paul Pu Liang +2
Given the growing prevalence of fake information, including increasingly realistic AI-generated news, there is an urgent need to train people to better evaluate and detect misinfor…
RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis
Anku Rani, Aparna Garimella, Apoorv Saxena +2
Data visualizations like charts are fundamental tools for quantitative analysis and decision-making across fields, requiring accurate interpretation and mathematical reasoning. The…