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cs.AI2026
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…
cs.AI2026
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…
cs.AI2025
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…