3 papers
cs.AI2026
Bridging Expert Knowledge and Automated Feature Engineering via Self-Evolution
Varun Khurana, Vijval Ekbote, Vashu Chauhan +3
In high-stakes settings such as brand compliance, clinical care, and content moderation, machine learning cannot be deployed as opaque oracles: practitioners inspect the features d…
cs.AI2026
Benchmarking the Personalization Capabilities of Large Language Models
Ashutosh Srivastava, Siddharth Yedlapati, Vinay Aggarwal +4
Personalization, the act of varying a message to induce action from a specific receiver while keeping sender, channel, and time fixed, has a long tradition in psychology and market…
cs.AI2026
Accelerating Social Science Research via Agentic Hypothesization and Experimentation
Jishu Sen Gupta, Harini SI, Somesh Kumar Singh +5
Data-driven social science research is inherently slow, relying on iterative cycles of observation, hypothesis generation, and experimental validation. While recent data-driven met…