activity
20232026
most citedMeasuring and Improving Persuasiveness of Large Language Models

2 citations · 4 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2026

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…

cs.AI2026

Benchmarking the Personalization Capabilities of Large Language Models

Ashutosh Srivastava, Siddharth Yedlapati, Vinay Aggarwal +4

Personalization is classically a two-party problem: a sender chooses what to say, and a receiver with independent objectives decides whether to act. A salesperson pitching the same…

cs.AI2026

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…

cs.AI2026

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…

cs.CL2024★ 2 cited

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…

cs.CV2024

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…

cs.CV2023

Behavior Optimized Image Generation

Varun Khurana, Yaman K Singla, Jayakumar Subramanian +4

The last few years have witnessed great success on image generation, which has crossed the acceptance thresholds of aesthetics, making it directly applicable to personal and commer…

cs.CL2023★ 1 cited

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…

cs.CV2023★ 1 cited

A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot

Aanisha Bhattacharya, Yaman K Singla, Balaji Krishnamurthy +2

Multimedia content, such as advertisements and story videos, exhibit a rich blend of creativity and multiple modalities. They incorporate elements like text, visuals, audio, and st…