Jinhao Duan
18 papers · 2023–2026 · 12 venues · across top CS/AI venues
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Dynamic Duo
(18)
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Artificial Intelligence
(12)
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(10)
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(7)
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(7)
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(5)
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(5)
Learning Types Β· Machine Learning
(4)
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(3)
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(3)
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(3)
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(3)
Knowledge & Reasoning
(1)
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(1)
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Keywords
large language model
(8)
uncertainty quantification
(4)
diffusion model
(3)
generative model
(2)
benchmark evaluation
(2)
strategic reasoning
(2)
privacy attack
(2)
conformal prediction
(2)
board game
(2)
image generation
(1)
code generation
(1)
fairness
(1)
adversarial augmentation
(1)
adversarial training
(1)
adversarial robustness
(1)
representation learning
(1)
prediction set
(1)
natural language generation
(1)
adversarial perturbation
(1)
false discovery rate
(1)
Papers
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
AAAI 2026
Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations
EACL 2026
IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation
ACL 2026
DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation
ACL 2025
GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing
NAACL 2025
Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs
EMNLP 2025
TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention
ICCV 2025
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
CVPR 2024
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
ICLR 2024
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?
CVPR 2024
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
EMNLP 2024
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
ICML 2024
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
NeurIPS 2024
ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models
NAACL 2024
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
ACL 2024
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models
ECCV 2024
Are Diffusion Models Vulnerable to Membership Inference Attacks?
ICML 2023
Improve Video Representation with Temporal Adversarial Augmentation
IJCAI 2023