Tianle Gu
13 papers · 2023–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (27)
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Conference Polyglot
(4)
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Cross-Pollinator
(12)
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Century Club
(11)
β‘
Prolific Year
(8)
ποΈ
Keyword Collector
(53)
Conferences
ACL (6)
EMNLP (5)
AAAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(7)
benchmark evaluation
(1)
machine learning
(1)
hierarchical planning
(1)
constrained generation
(1)
token selection
(1)
text generation
(1)
toxicity detection
(1)
bias detection
(1)
contextual information
(1)
privacy preservation
(1)
knowledge unlearning
(1)
ai safety
(1)
safety alignment
(1)
feature extraction
(1)
distributed training
(1)
hierarchical taxonomy
(1)
backdoor attack
(1)
text watermarking
(1)
representation learning
(1)
Papers
Probing the Safety Robustness of LLMs in Latent Space
ACL 2026
SCAN: Structured Capability Assessment and Navigation for LLMs
ACL 2026
A Cognitive Writing Perspective for Constrained Long-Form Text Generation
ACL 2025
From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs
ACL 2025
Word Form Matters: LLMsβ Semantic Reconstruction under Typoglycemia
ACL 2025
HoneypotNet: Backdoor Attacks Against Model Extraction
AAAI 2025
Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking
EMNLP 2025
Fair Text-Attributed Graph Representation Learning
EMNLP 2025
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation
EMNLP 2025
MorphMark: Flexible Adaptive Watermarking for Large Language Models
ACL 2025
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
NIPS 2024
ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models
EMNLP 2024
CoLLiE: Collaborative Training of Large Language Models in an Efficient Way
EMNLP 2023