Haizhen Huang

Orcid: 0009-0005-7145-2500

According to our database1, Haizhen Huang authored at least 26 papers between 2021 and 2025.

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

Timeline

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Links

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Bibliography

2025
TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression.
CoRR, June, 2025

Towards Distributionally Balanced End-to-End Generative Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

VirB: A Virus Hierarchical Classification Method Based on ModernBERT.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Context-DPO: Aligning Language Models for Context-Faithfulness.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
E5-V: Universal Embeddings with Multimodal Large Language Models.
CoRR, 2024

ASI++: Towards Distributionally Balanced End-to-End Generative Retrieval.
CoRR, 2024

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning.
CoRR, 2024

Improving Domain Adaptation through Extended-Text Reading Comprehension.
CoRR, 2024

Calibrating LLM-Based Evaluator.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ResLoRA: Identity Residual Mapping in Low-Rank Adaption.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Text Diffusion with Reinforced Conditioning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Focal Contrastive Learning for Palm Vein Authentication.
IEEE Trans. Instrum. Meas., 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation.
CoRR, 2023

Multi-Grained Topological Pre-Training of Language Models in Sponsored Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

PASS: Personalized Advertiser-aware Sponsored Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Auto Search Indexer for End-to-End Document Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Democratizing Reasoning Ability: Tailored Learning from Large Language Model.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dual-Alignment Pre-training for Cross-lingual Sentence Embedding.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Pre-training Language Model as a Multi-perspective Course Learner.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
PromptBERT: Improving BERT Sentence Embeddings with Prompts.
CoRR, 2022

RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Improving Non-autoregressive Generation with Mixup Training.
CoRR, 2021

Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021


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