3 papers
cs.AI2026
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…
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.HC2026
How Well Do Large Language Models Capture Human Personality?
Aanisha Bhattacharyya, Yaman Kumar Singla, Rajiv Ratn Shah +2
Large language models (LLMs) are increasingly used to simulate human populations via persona prompting, often under the assumptions that richer persona descriptions improve behavio…