Radha Poovendran
16 papers · 2023–2026 · 8 conferences · across top CS/AI conferences
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Keywords
large language model
(9)
safety alignment
(3)
jailbreak attack
(3)
adversarial learning
(3)
instruction tuning
(2)
knowledge distillation
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adversarial attack
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decoding strategy
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backdoor attack
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chain-of-thought reasoning
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llm safety
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harmful content
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model safety
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model robustness
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reinforcement learning
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adversarial training
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synthetic datum
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game theory
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Papers
BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?
ACL 2026
Temporal Sampling for Forgotten Reasoning in LLMs
ACL 2026
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding
ACL 2025
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
ICLR 2025
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
ACL 2025
Small Models Struggle to Learn from Strong Reasoners
ACL 2025
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates
AAAI 2025
Stronger Models are Not Always Stronger Teachers for Instruction Tuning
NAACL 2025
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
ICML 2025
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
ICLR 2024
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
ACL 2024
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs
ACL 2024
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models
EMNLP 2024
EDC: Effective and Efficient Dialog Comprehension For Dialog State Tracking
NAACL 2024
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases
IJCAI 2023
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning
NIPS 2023