Zhiliang Tian
40 papers · 2017–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(29)
Artificial Intelligence
(27)
Deep Learning
(25)
Natural Language Processing
(20)
Core AI
(20)
Learning Types Β· Machine Learning
(16)
Learning Types Β· Deep Learning
(14)
Application Areas
(12)
Generation
(12)
Applications
(9)
Learning Paradigms
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Core Methods
(7)
Models
(6)
Architectures
(5)
Optimization & Theory
(5)
Keywords
large language model
(9)
knowledge distillation
(4)
text generation
(4)
domain adaptation
(4)
dialogue system
(4)
few-shot learning
(3)
retrieval-augmented generation
(3)
domain shift
(3)
reinforcement learning
(2)
hallucination detection
(2)
content preservation
(2)
text style transfer
(2)
model compression
(2)
entropy minimization
(2)
lifelong learning
(2)
differential privacy
(2)
text classification
(2)
prompt engineering
(2)
catastrophic forgetting
(2)
rumor detection
(2)
Papers
CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher
ACL 2026
DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection
ACL 2026
DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering
AAAI 2026
Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMsβ Hallucinations
ACL 2026
WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety
AAAI 2026
Advancing Collaborative Debates with Role Differentiation through Multi-Agent Reinforcement Learning
ACL 2025
AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models
ACL 2025
Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues
ACL 2025
Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes
EMNLP 2025
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference
EMNLP 2025
DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation
ACL 2025
DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference
ACL 2025
GCML: Gradient Coherence Guided Meta-Learning for Cross-Domain Emerging Topic Rumor Detection
EMNLP 2025
LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis
ACL 2025
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization
AAAI 2025
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
AAAI 2025
360βREA: Towards A Reusable Experience Accumulation with 360β Assessment for Multi-Agent System
ACL 2024
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models
EMNLP 2024
Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs
COLING 2024
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
NeurIPS 2024
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation
ACL 2024
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer
COLING 2024
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation
ACL 2023
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
ICCV 2023
GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation
ACL 2023
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence
EMNLP 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification
IJCAI 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
EMNLP 2023
Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory
EMNLP 2022
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model
EMNLP 2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation
ACL 2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
EMNLP 2022
Semi-Supervised Lifelong Language Learning
EMNLP 2022
SeqPATE: Differentially Private Text Generation via Knowledge Distillation
NeurIPS 2022
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
ACL 2021
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
AAAI 2021
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
ACL 2020
Learning to Abstract for Memory-augmented Conversational Response Generation
ACL 2019
Diversifying Neural Conversation Model with Maximal Marginal Relevance
IJCNLP 2017
How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models
ACL 2017