Tianxing He
26 papers · 2019–2026 · 9 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
Jump to papers ↓+11 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (54) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Grand Slam
π
Keyword Champion
(2)
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
(3)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(124)
Top co-authors
Research topics
Machine Learning
(18)
Artificial Intelligence
(16)
Core AI
(16)
Deep Learning
(13)
Natural Language Processing
(12)
Learning Types Β· Machine Learning
(9)
Generation
(7)
Application Areas
(6)
Core Methods
(6)
Learning Types Β· Deep Learning
(5)
Applications
(3)
Architectures
(3)
Models
(3)
Interdisciplinary
(2)
Optimization & Theory
(2)
Keywords
large language model
(10)
adversarial learning
(4)
text generation
(4)
machine-generated text detection
(3)
dialogue response generation
(2)
semantic watermark
(2)
dialogue generation
(2)
language generation
(2)
text classification
(2)
jailbreak attack
(2)
factual knowledge
(2)
stress testing
(2)
locality sensitive hashing
(2)
in-context learning
(2)
language model
(2)
prompt engineering
(2)
graph reasoning
(2)
machine translation
(1)
neural network training
(1)
knowledge editing
(1)
Papers
A Visualized Framework for Event Cooperation with Generative Agents
AAAI 2026
ChatAnime: Towards User-Centered Emotional Support in LLM-based Virtual Character Chat
ACL 2026
Jailbreak Large Vision-Language Models Through Multi-Modal Linkage
ACL 2025
SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
ACL 2025
Towards Black-Box Membership Inference Attack for Diffusion Models
ICML 2025
Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
EMNLP 2024
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
ICLR 2024
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
ACL 2024
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text
ACL 2024
LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud
NAACL 2024
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation
NAACL 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
ACL 2024
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles
EMNLP 2024
Can Language Models Solve Graph Problems in Natural Language?
NeurIPS 2023
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics
NeurIPS 2023
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
ACL 2023
On the Zero-Shot Generalization of Machine-Generated Text Detectors
EMNLP 2023
PCFG-Based Natural Language Interface Improves Generalization for Controlled Text Generation
ACL 2023
Controlling the Focus of Pretrained Language Generation Models
ACL 2022
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models
EACL 2021
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?
EMNLP 2021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
EACL 2021
A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation
AACL 2020
Negative Training for Neural Dialogue Response Generation
ACL 2020
Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity
ICLR 2020
Detecting Egregious Responses in Neural Sequence-to-sequence Models
ICLR 2019