Tianxing He
26 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)
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(2)
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Conferences
ACL (10)
EMNLP (4)
ICLR (3)
EACL (2)
NAACL (2)
NIPS (2)
AAAI (1)
AACL (1)
ICML (1)
Top co-authors
Keywords
large language model
(9)
text generation
(4)
machine-generated text detection
(3)
adversarial learning
(3)
in-context learning
(2)
language model
(2)
semantic watermark
(2)
graph reasoning
(2)
stress testing
(2)
dialogue response generation
(2)
jailbreak attack
(2)
text classification
(2)
locality-sensitive hashing
(2)
prompt engineering
(2)
language generation
(2)
question answering
(1)
transfer learning
(1)
machine translation
(1)
adversarial robustness
(1)
zero-shot learning
(1)
Papers
ChatAnime: Towards User-Centered Emotional Support in LLM-based Virtual Character Chat
ACL 2026
A Visualized Framework for Event Cooperation with Generative Agents
AAAI 2026
Towards Black-Box Membership Inference Attack for Diffusion Models
ICML 2025
Jailbreak Large Vision-Language Models Through Multi-Modal Linkage
ACL 2025
SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
ACL 2025
LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud
NAACL 2024
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
ICLR 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
ACL 2024
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text
ACL 2024
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
ACL 2024
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation
NAACL 2024
Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
EMNLP 2024
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles
EMNLP 2024
Can Language Models Solve Graph Problems in Natural Language?
NIPS 2023
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics
NIPS 2023
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation
ACL 2023
PCFG-Based Natural Language Interface Improves Generalization for Controlled Text Generation
ACL 2023
On the Zero-Shot Generalization of Machine-Generated Text Detectors
EMNLP 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
Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity
ICLR 2020
Negative Training for Neural Dialogue Response Generation
ACL 2020
Detecting Egregious Responses in Neural Sequence-to-sequence Models
ICLR 2019