Tianci Liu
18 papers · 2023–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (37) π€ Dynamic Duo (11)
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Triple Crown
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Grand Slam
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(10)
Core AI
(10)
Natural Language Processing
(9)
Optimization & Theory
(8)
Deep Learning
(7)
Application Areas
(7)
Resources & Methods
(6)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Applications
(2)
Generation
(2)
Models
(2)
Computer Vision
(1)
Keywords
knowledge editing
(3)
large language model
(3)
small language model
(2)
bilevel optimization
(2)
direct preference optimization
(2)
model compression
(2)
inverse problem
(2)
parameter-efficient fine-tuning
(2)
non-convex optimization
(1)
knowledge distillation
(1)
algorithmic fairness
(1)
model distillation
(1)
causal inference
(1)
question answering
(1)
knowledge transfer
(1)
multi-label classification
(1)
contrastive learning
(1)
fairness
(1)
preference optimization
(1)
model robustness
(1)
Papers
LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models
ACL 2026
OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
ACL 2026
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
UAI 2025
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs
EMNLP 2025
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
ICML 2025
Quantification of Large Language Model Distillation
ACL 2025
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization
ACL 2025
Towards Universal Debiasing for Language Models-based Tabular Data Generation
EMNLP 2025
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
ICLR 2025
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
NeurIPS 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
NeurIPS 2024
JN-NLP at SIGHAN-2024 dimABSA Task: Extraction of Sentiment Intensity Quadruples Based on Paraphrase Generation
ACL 2024
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
ICML 2024
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
EMNLP 2024
Towards Poisoning Fair Representations
ICLR 2024
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference
EMNLP 2023
Optimization for Amortized Inverse Problems
ICML 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification
AAAI 2023