2 citations · 3 across the 5 of their papers we have counts for
6 papers
Exploring Collaboration between a language and a non-language agent
Harini S, Somesh Singh, Yaman K Singla +3
LLMs are increasingly deployed as orchestrators that coordinate specialized subagents to solve complex tasks through natural language. However, in many important domains like game…
Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries
Sree Bhattacharyya, Yaman Kumar Singla, Sudhir Yarram +3
Visual content memorability has intrigued the scientific community for decades, with applications ranging widely, from understanding nuanced aspects of human memory to enhancing co…
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…
FactorSim: Generative Simulation via Factorized Representation
Fan-Yun Sun, S. I. Harini, Angela Yi +6
Generating simulations to train intelligent agents in game-playing and robotics from natural language input, from user input or task documentation, remains an open-ended challenge.…
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…
Long-Term Ad Memorability: Understanding & Generating Memorable Ads
Harini SI, Somesh Singh, Yaman K Singla +5
Despite the importance of long-term memory in marketing and brand building, until now, there has been no large-scale study on the memorability of ads. All previous memorability stu…