Tianci Liu
Orcid: 0000-0002-8396-8564Affiliations:
- Purdue University, West Lafayette, IN, USA
According to our database1,
Tianci Liu authored at least 29 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains.
CoRR, May, 2026
CoRR, April, 2026
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training.
CoRR, February, 2026
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026
OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
CoRR, February, 2025
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Toward Generalizable, General-Purpose, and Multimodal Knowledge Editing for Foundation Models.
Proceedings of the IEEE International Conference on Data Mining, 2025
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.
CoRR, 2024
Towards Efficient Heterogeneous Multi-Modal Federated Learning with Hierarchical Knowledge Disentanglement.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
Proceedings of the International Conference on Machine Learning, 2023
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
COEP: Cascade Optimization for Inverse Problems with Entropy-Preserving Hyperparameter Tuning.
CoRR, 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks.
CoRR, 2022
2020