Author

Trilok Padhi

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#artificial intelligence Nov 2025

Co-Evolving Agents: Learning from Failures as Hard Negatives

A co-evolving framework that couples a target agent's self-improvement with a failure agent trained to generate hard negatives to demonstrate the value of learning to generate and use informative failures for agent self-improvement.

Yeonsung Jung, Trilok Padhi, S. Shaham et al. · arXiv.org · 8 citations

Jun 2026

Unmasking Toxicity and Vulnerabilities in Large Vision-Language Models

This study systematically examines the vulnerabilities of open and closed-weight LVLMs, including LLaVA, InstructBLIP, Fuyu, Qwen, DeepSeek, Gemini, GPT, and Grok, using adversarial prompting strategies informed by social theories to simulate real-world social manipulation tactics.

Abdulkadir Erol, Trilok Padhi, Agnik Saha et al. · ACM Transactions on Intellig... · 0 citations