Xinlin Zhuang

Orcid: 0009-0006-1822-8224

According to our database1, Xinlin Zhuang authored at least 25 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ClinCoT: Clinical-Aware Visual Chain-of-Thought for Medical Vision Language Models.
CoRR, March, 2026

DoAtlas-1: A Causal Compilation Paradigm for Clinical AI.
CoRR, February, 2026

APEX: Learning Adaptive Priorities for Multi-Objective Alignment in Vision-Language Generation.
CoRR, January, 2026

FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection.
CoRR, November, 2025

Phenome-Wide Multi-Omics Integration Uncovers Distinct Archetypes of Human Aging.
CoRR, October, 2025

Towards Robust Visual Continual Learning with Multi-Prototype Supervision.
CoRR, September, 2025

scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering.
CoRR, August, 2025

StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding.
CoRR, August, 2025

Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data.
CoRR, August, 2025

Unsupervised Topic Models are Data Mixers for Pre-training Language Models.
CoRR, February, 2025

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.
CoRR, 2024

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models.
CoRR, 2024

Cause-Aware Empathetic Response Generation via Chain-of-Thought Fine-Tuning.
CoRR, 2024

BIBench: Benchmarking Data Analysis Knowledge of Large Language Models.
CoRR, 2024

Bread: A Hybrid Approach for Instruction Data Mining Through Balanced Retrieval and Dynamic Data Sampling.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

A Lightweight and Effective Multi-View Knowledge Distillation Framework for Text-Image Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2024

Towards Explainable Chinese Native Learner Essay Fluency Assessment: Dataset, Tasks, and Method.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CEAMC: Corpus and Empirical Study of Argument Analysis in Education via LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

TOREE: Evaluating Topic Relevance of Student Essays for Chinese Primary and Middle School Education.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Are U a Joke Master? Pun Generation via Multi-Stage Curriculum Learning towards a Humor LLM.
Proceedings of the Findings of the Association for Computational Linguistics, 2024


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