5 papers · 1 filter
ZIPP:Zero-shot Image Personalization from Personas
Harini SI, Somesh Singh, Yaman Kumar Singla +2
Text-to-image diffusion models are increasingly deployed in open-ended creative contexts, yet their outputs remain impersonal, optimized for aggregate aesthetics rather than indivi…
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…
MEMENTO: Leveraging Web as a Learning Signal for Low-Data Domains
Ashutosh Ojha, Vinay Aggarwal, Ashutosh Srivastava +3
Real-world tasks often lack large labeled datasets, motivating extensive work on learning in low-data regimes. However, existing approaches such as few-shot prompting, instruction…
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…