3 citations · 7 across the 10 of their papers we have counts for
11 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…
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…
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…
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…
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…
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya +8
Shannon and Weaver's seminal information theory divides communication into three levels: technical, semantic, and effectiveness. While the technical level deals with the accurate r…
AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses
Yaman Kumar Singla, Swapnil Parekh, Somesh Singh +3
Deep-learning based Automatic Essay Scoring (AES) systems are being actively used by states and language testing agencies alike to evaluate millions of candidates for life-changing…
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
Swapnil Parekh, Yaman Singla Kumar, Somesh Singh +3
It is well known that natural language models are vulnerable to adversarial attacks, which are mostly input-specific in nature. Recently, it has been shown that there also exist in…
BPGC at SemEval-2020 Task 11: Propaganda Detection in News Articles with Multi-Granularity Knowledge Sharing and Linguistic Features based Ensemble Learning
Rajaswa Patil, Somesh Singh, Swati Agarwal
Propaganda spreads the ideology and beliefs of like-minded people, brainwashing their audiences, and sometimes leading to violence. SemEval 2020 Task-11 aims to design automated sy…