Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference.

[BibT_eX]

[DOI]

Zhongwei Wan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., March, 2024

Efficient Large Language Models: A Survey.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

The Internet of Things in the Era of Generative AI: Vision and Challenges.

[BibT_eX]

[DOI]

Bhaskar Krishnamachari

IEEE Internet Comput., 2024

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?

[BibT_eX]

[DOI]

Danielle S. Bitterman

Fei Wang

Kai Shu

CoRR, 2024

UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference.

[BibT_eX]

[DOI]

CoRR, 2024

UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Test Time Adaptation with Few-shot Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images.

[BibT_eX]

[DOI]

CoRR, 2024

Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?

[BibT_eX]

[DOI]

CoRR, 2024

Electrocardiogram Instruction Tuning for Report Generation.

[BibT_eX]

[DOI]

CoRR, 2024

IoT in the Era of Generative AI: Vision and Challenges.

[BibT_eX]

[DOI]

Bhaskar Krishnamachari

CoRR, 2024

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Text Classification: A Perspective of Deep Learning Methods.

[BibT_eX]

[DOI]

Zhongwei Wan

CoRR, 2023

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.

[BibT_eX]

[DOI]

César Quilodrán Casas

Rossella Arcucci

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Self-consistent Reasoning For Solving Math Word Problems.

[BibT_eX]

[DOI]

CoRR, 2022

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP.

[BibT_eX]

[DOI]

Zhenyu Liang

Yunfan Li

Zhongwei Wan

CoRR, 2020

Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks.

[BibT_eX]

[DOI]

Zhenyu Liang

Yunfan Li

Zhongwei Wan

CoRR, 2020

Zhongwei Wan

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