activity
20182026
most citedDefining and Detecting Toxicity on Social Media: Context and Knowledge are Key

98 citations · 349 across the 18 of their papers we have counts for

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Showing cs.AIShow all

5 papers · 1 filter

cs.AI2026

From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents

Trilok Padhi, Ramneet Kaur, Krishiv Agarwal +9

Large Language Models (LLMs) are increasingly deployed as autonomous agents capable of reasoning, planning, and acting within interactive environments. Despite their growing capabi…

cs.AI2025★ 1 cited

Echoes of Human Malice in Agents: Benchmarking LLMs for Multi-Turn Online Harassment Attacks

Trilok Padhi, Pinxian Lu, Abdulkadir Erol +5

Large Language Model (LLM) agents are powering a growing share of interactive web applications, yet remain vulnerable to misuse and harm. Prior jailbreak research has largely focus…

cs.AI2024★ 2 cited

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19

Vedant Khandelwal, Manas Gaur, Ugur Kursuncu +2

Monitoring public sentiment via social media is potentially helpful during health crises such as the COVID-19 pandemic. However, traditional frequency-based, data-driven neural net…

cs.AI2024★ 2 cited

Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning

Trilok Padhi, Ugur Kursuncu, Yaman Kumar +2

The digital landscape continually evolves with multimodality, enriching the online experience for users. Creators and marketers aim to weave subtle contextual cues from various mod…

cs.AI2019★ 17 cited

Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning

Ugur Kursuncu, Manas Gaur, Amit Sheth

Learning the underlying patterns in data goes beyond instance-based generalization to external knowledge represented in structured graphs or networks. Deep learning that primarily…