Haiyang Yu
56 papers · 2020–2026 · 14 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Artificial Intelligence
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Natural Language Processing
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Machine Learning
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Deep Learning
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large language model
(12)
graph neural network
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retrieval-augmented generation
(5)
reinforcement learning
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multimodal learning
(4)
named entity recognition
(3)
language model
(2)
question generation
(2)
foundation model
(2)
visual question answering
(2)
link prediction
(2)
instruction following
(2)
benchmark evaluation
(2)
reinforcement learning from human feedback
(2)
relation extraction
(2)
question answering
(2)
self-supervised learning
(2)
information extraction
(2)
few-shot learning
(2)
data augmentation
(2)
Papers
AMap: Distilling Future Priors for Ahead-Aware Online HD Map Construction
CVPR 2026
CME-CAD: Heterogeneous Collaborative Multi-Expert Reinforcement Learning for CAD Code Generation
CVPR 2026
EvoRoute: Experience-Driven Self-Routing LLM Agent Systems
ACL 2026
From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation
AAAI 2026
MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement
AAAI 2026
Your One-Stop Solution for AI-Generated Video Detection
CVPR 2026
A Bounding Box is Worth One Token - Interleaving Layout and Text in a Large Language Model for Document Understanding
ACL 2025
Authentic 4D Driving Simulation with a Video Generation Model
ICCV 2025
ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models
ICCV 2025
DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking
ACL 2025
DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
ACL 2025
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM
ICCV 2025
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models
EMNLP 2025
Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking
AAAI 2025
IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization
ACL 2025
Learning to Discover Regulatory Elements for Gene Expression Prediction
ICLR 2025
On Explaining Equivariant Graph Networks via Improved Relevance Propagation
ICML 2025
On the Role of Attention Heads in Large Language Model Safety
ICLR 2025
SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
ICML 2025
Spectro-Riemannian Graph Neural Networks
ICLR 2025
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
ICLR 2025
Transferable Post-training via Inverse Value Learning
NAACL 2025
DenseKoopman: A Plug-and-Play Framework for Dense Pedestrian Trajectory Prediction
IJCAI 2024
EAFormer: Scene Text Segmentation with Edge-Aware Transformers
ECCV 2024
How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States
EMNLP 2024
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
ICML 2024
Large Language Models Provide Human-Level Medical Text Snippet Labeling
NAACL 2024
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
EMNLP 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information
ICLR 2024
Preference Ranking Optimization for Human Alignment
AAAI 2024
Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
COLING 2024
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
NeurIPS 2024
SoFA: Shielded On-the-fly Alignment via Priority Rule Following
ACL 2024
Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
COLING 2024
USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task
SemEval 2024
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
EMNLP 2023
Causal Document-Grounded Dialogue Pre-training
EMNLP 2023
Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning
ICCV 2023
Diversify Question Generation with Retrieval-Augmented Style Transfer
EMNLP 2023
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
ICML 2023
Improving Question Generation with Multi-level Content Planning
EMNLP 2023
Orientation-Independent Chinese Text Recognition in Scene Images
IJCAI 2023
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules
NeurIPS 2023
Towards Accurate Video Text Spotting with Text-wise Semantic Reasoning
IJCAI 2023
Unified Language Representation for Question Answering over Text, Tables, and Images
ACL 2023
Universal Information Extraction with Meta-Pretrained Self-Retrieval
ACL 2023
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
EMNLP 2022
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots
EMNLP 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
ICML 2022
Task-driven augmented data evaluation
EMNLP 2022
Text Gestalt: Stroke-Aware Scene Text Image Super-resolution
AAAI 2022
Towards Generalized Open Information Extraction
EMNLP 2022
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
JMLR 2021
On Explainability of Graph Neural Networks via Subgraph Explorations
ICML 2021
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction
COLING 2020
OpenUE: An Open Toolkit of Universal Extraction from Text
EMNLP 2020