Tianci Liu
18 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
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Keywords
model compression
(2)
small language model
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direct preference optimization
(2)
causal inference
(1)
non-convex optimization
(1)
model robustness
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algorithmic fairness
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image reconstruction
(1)
knowledge distillation
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model distillation
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knowledge editing
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question answering
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model evaluation
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autoregressive generation
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multi-label classification
(1)
preference optimization
(1)
knowledge transfer
(1)
instruction following
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paraphrase generation
(1)
contrastive learning
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Papers
OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
ACL 2026
LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models
ACL 2026
Towards Universal Debiasing for Language Models-based Tabular Data Generation
EMNLP 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
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs
EMNLP 2025
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
ICLR 2025
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
ICML 2025
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
UAI 2025
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
NIPS 2024
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
EMNLP 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
NIPS 2024
JN-NLP at SIGHAN-2024 dimABSA Task: Extraction of Sentiment Intensity Quadruples Based on Paraphrase Generation
ACL 2024
Towards Poisoning Fair Representations
ICLR 2024
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
ICML 2024
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification
AAAI 2023
Optimization for Amortized Inverse Problems
ICML 2023
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference
EMNLP 2023