5 papers
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…
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…
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…
Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
Somesh Singh, Harini S, Yaman K Singla +4
Communication is defined as "Who says what to whom with what effect". A message from a communicator generates downstream receiver effects, also known as behavior. Receiver behavior…
Measuring and Improving Persuasiveness of Large Language Models
Somesh Singh, Yaman K Singla, Harini SI +1
LLMs are increasingly being used in workflows involving generating content to be consumed by humans (e.g., marketing) and also in directly interacting with humans (e.g., through ch…