Ninad Kulkarni

6 papers · 2024–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) ⚡ Prolific Year · Productive

Venues

EMNLP (3) NAACL (2) ACL (1)

Top co-authors

Dmitriy Bespalov (5) Yanjun Qi (4) Xian Wu (2) Zhe Wang (2) Daniel Schwartz (1) Jennifer Zhu (1) Yueyan Chen (1) Zhichao Xu (1) Balasubramaniam Srinivasan (1) Aosong Feng (1)

Research topics

Machine Learning (6) Artificial Intelligence (5) Core AI (5) Learning Types (4) Deep Learning (3) Natural Language Processing (2) Optimization & Theory · Deep Learning (2) Application Areas (1) Applications (1) Models (1) Optimization & Theory · Machine Learning (1) Resources & Methods (1)

Keywords

adversarial attack (2) prompt engineering (2) large language model (2) content moderation (2) llm safety (2) adversarial learning (2) jailbreak prompt (2) toxicity detection (1) text generation (1) text classification (1) safety alignment (1) graph optimization (1) query cost (1) efficient computing (1) agentic workflow (1) graph structure (1) adversarial example (1) tool use (1) autonomous agent (1) language model (1)

Papers

Agent vs. Agent: Automated Data Generation and Red-Teaming for Custom Agentic Workflows EMNLP 2025 Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation EMNLP 2025 Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt. Generation for Enhanced LLM Content Moderation ACL 2025 IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs EMNLP 2025 TaeBench: Improving Quality of Toxic Adversarial Examples NAACL 2025 Less is More for Improving Automatic Evaluation of Factual Consistency NAACL 2024