7 citations · 18 across the 28 of their papers we have counts for
6 papers · 1 filter
Prompt PerturbAItions: Mechanisms of LLM Response Inconsistencies
Soorya Ram Shimgekar, Agam Goyal, Amruta Parulekar +6
Large language models (LLMs) are increasingly deployed in conversational settings where user phrasing ranges from polite to casual to toxic, yet less is known about whether such le…
From Plausible to Causal: Counterfactual Semantics for Policy Evaluation in Simulated Online Communities
Agam Goyal, Yian Wang, Eshwar Chandrasekharan +1
LLM-based social simulations can generate believable community interactions, enabling ``policy wind tunnels'' where governance interventions are tested before deployment. But belie…
Social Simulacra in the Wild: AI Agent Communities on Moltbook
Agam Goyal, Olivia Pal, Hari Sundaram +2
As autonomous LLM-based agents increasingly populate social platforms, understanding the dynamics of AI-agent communities becomes essential for both communication research and plat…
ArgCMV: An Argument Summarization Benchmark for the LLM-era
Omkar Gurjar, Agam Goyal, Eshwar Chandrasekharan
Key point extraction is an important task in argument summarization which involves extracting high-level short summaries from arguments. Existing approaches for KP extraction have…
MoMoE: Mixture of Moderation Experts Framework for AI-Assisted Online Governance
Agam Goyal, Xianyang Zhan, Yilun Chen +2
Large language models (LLMs) have shown great potential in flagging harmful content in online communities. Yet, existing approaches for moderation require a separate model for ever…
SLM-Mod: Small Language Models Surpass LLMs at Content Moderation
Xianyang Zhan, Agam Goyal, Yilun Chen +2
Large language models (LLMs) have shown promise in many natural language understanding tasks, including content moderation. However, these models can be expensive to query in real-…