Hai-Tao Zheng

43 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (11) 🏃 Academic Marathon (7) 🗺️ Taxonomy Completionist (87) 👥 Mega-Team (20) 🏆 Grand Slam 🤝 Dynamic Duo (19) 🧬 Topic Evolution 🔥 Unstoppable (6) 💎 Century Club (42) 🗃️ Keyword Collector (175) 🚀 Conference Pioneer ⚡ Prolific Year (15)

Conferences

AAAI (13) EMNLP (10) ACL (6) ICLR (4) COLING (2) IJCAI (2) NIPS (2) CVPR (1) ECCV (1) ICML (1) NAACL (1)

Top co-authors

Yinghui Li (19) Yangning Li (19) Ying Shen (12) Philip S. Yu (9) Jingheng Ye (7) Haojing Huang (6) Wenhao Jiang (6) Qingyu Zhou (6) Zishan Xu (5) Shirong Ma (5)

Research topics

Keywords

large language model (9) text generation (6) grammatical error correction (5) instruction tuning (4) language model (3) text editing (3) knowledge distillation (3) data augmentation (3) natural language processing (3) catastrophic forgetting (2) knowledge base (2) continual learning (2) evaluation metric (2) reinforcement learning (2) multi-task learning (2) named entity recognition (2) representation learning (2) contrastive learning (2) attention mechanism (2) question answering (2)

Papers

Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction AAAI 2026

CLEME2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction ACL 2025

Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction ACL 2025

DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens ACL 2025

Position: LLMs Can be Good Tutors in English Education EMNLP 2025

Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks ICLR 2025

Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent ICLR 2025

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning ICLR 2025

A Survey of RAG-Reasoning Systems in Large Language Models EMNLP 2025

Perception Compressor: A Training-Free Prompt Compression Framework in Long Context Scenarios NAACL 2025

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs ICML 2025

Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers AAAI 2025

EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction AAAI 2025

Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning EMNLP 2025

MKT: A Multi-Stage Knowledge Transfer Framework to Mitigate Catastrophic Forgetting in Multi-Domain Chinese Spelling Correction EMNLP 2025

RAISE: Reinforced Adaptive Instruction Selection For Large Language Models EMNLP 2025

Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters ACL 2024

When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models NIPS 2024

MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities AAAI 2024

EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce AAAI 2024

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding AAAI 2024

Depth Aware Hierarchical Replay Continual Learning for Knowledge Based Question Answering COLING 2024

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback CVPR 2024

MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension EMNLP 2024

HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation EMNLP 2024

MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction EMNLP 2023

A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check EMNLP 2023

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation NIPS 2023

Global Mixup: Eliminating Ambiguity with Clustering AAAI 2023

Visually Grounded Commonsense Knowledge Acquisition AAAI 2023

Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval AAAI 2023

CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction EMNLP 2023

Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information ACL 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations COLING 2022

The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking ACL 2022

Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection AAAI 2021

Learning to Augment for Data-scarce Domain BERT Knowledge Distillation AAAI 2021

Prototypical Representation Learning for Relation Extraction ICLR 2021

Infobox-to-text Generation with Tree-like Planning based Attention Network IJCAI 2020

Integrating Linguistic Knowledge to Sentence Paraphrase Generation AAAI 2020

Knowledge and Cross-Pair Pattern Guided Semantic Matching for Question Answering AAAI 2020

Triple-to-Text Generation with an Anchor-to-Prototype Framework IJCAI 2020

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design ECCV 2018