Hongcheng Gao
17 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (35) π Conference Polyglot (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Hot Topic Early Bird
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Mega-Team
(23)
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The Questioner
(3)
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Prolific Year
(8)
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Century Club
(16)
ποΈ
Keyword Collector
(82)
π₯
Unstoppable
(5)
Conferences
EMNLP (4)
NIPS (4)
ICLR (3)
ACL (2)
NAACL (2)
AAAI (1)
ICCV (1)
Top co-authors
Keywords
text classification
(3)
adversarial attack
(3)
backdoor attack
(2)
diffusion model
(2)
adversarial defense
(2)
benchmark evaluation
(2)
model compression
(2)
large language model
(2)
knowledge distillation
(1)
zero-shot learning
(1)
contrastive learning
(1)
uncertainty quantification
(1)
natural language processing
(1)
knowledge editing
(1)
model security
(1)
catastrophic forgetting
(1)
model unlearning
(1)
machine-generated text detection
(1)
prompt-based learning
(1)
adversarial robustness
(1)
Papers
ExtendAttack: Attacking Servers of LRMs via Extending Reasoning
AAAI 2026
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
ICLR 2025
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
ICLR 2025
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
ICCV 2025
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model
ACL 2024
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
EMNLP 2024
AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models
EMNLP 2024
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
NIPS 2024
Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning
NIPS 2024
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
NIPS 2024
Emu: Generative Pretraining in Multimodality
ICLR 2024
Universal Prompt Optimizer for Safe Text-to-Image Generation
NAACL 2024
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
NIPS 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
ACL 2023
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
EMNLP 2022
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
EMNLP 2022
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm
NAACL 2022