Yong Jiang
127 papers · 2016–2026 · 18 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (18) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π Academic Marathon (9)
π
Academic Marathon
(9)
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Cross-Pollinator
(12)
π
Renaissance Researcher
(10)
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Conference Loyalist
(29)
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Grand Slam
π§¬
Topic Evolution
π€
Dynamic Duo
(50)
π¬
Deep Specialist
(18)
π
Keyword Champion
π
Trend Setter
π
Century Club
(122)
π₯
Unstoppable
(7)
ποΈ
Keyword Collector
(484)
β
The Questioner
(3)
β‘
Prolific Year
(14)
π
Conference Pioneer
Conferences
ACL (30)
EMNLP (29)
IJCNLP (11)
NIPS (11)
AAAI (10)
ICLR (8)
NAACL (6)
COLING (5)
IJCAI (4)
EACL (3)
ICCV (2)
SEMEVAL (2)
WACV (1)
UAI (1)
MICCAI (1)
ICML (1)
ECCV (1)
CVPR (1)
Top co-authors
Research topics
Keywords
large language model
(17)
named entity recognition
(16)
retrieval-augmented generation
(11)
neural network
(11)
dependency parsing
(11)
structured prediction
(9)
sequence labeling
(7)
domain adaptation
(7)
cross-lingual transfer
(6)
unsupervised learning
(6)
information retrieval
(6)
grammar induction
(6)
knowledge distillation
(5)
embedding concatenation
(4)
reinforcement learning
(4)
entity typing
(4)
variational inference
(4)
knowledge base
(4)
conditional random field
(4)
unsupervised dependency parsing
(4)
Papers
Suit the Remedy to the Retriever: Interpretable Query Optimization with Retriever Preference Alignment for Vision-Language Retrieval
AAAI 2026
ContrastKV: Robust KV Cache Eviction via Contrastive Signal Fusion for Multi-Query Generalization
ACL 2026
RatioSketch: Towards More Accurate Frequency Estimation in Data Streams via a Lightweight Neural Network
AAAI 2026
Nested Browser-Use Learning for Agentic Information Seeking
ACL 2026
Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties
EACL 2026
Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling
NAACL 2025
QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language
ACL 2025
SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement
ACL 2025
Agentic Knowledgeable Self-awareness
ACL 2025
WebWalker: Benchmarking LLMs in Web Traversal
ACL 2025
ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions
EMNLP 2025
KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models
EMNLP 2025
SpecCoT: Accelerating Chain-of-Thought Reasoning through Speculative Exploration
EMNLP 2025
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
EMNLP 2025
DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling
EMNLP 2025
EvolveSearch: An Iterative Self-Evolving Search Agent
EMNLP 2025
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
AAAI 2025
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
AAAI 2025
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
ICLR 2025
Benchmarking Agentic Workflow Generation
ICLR 2025
LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs β No Silver Bullet for LC or RAG Routing
ICML 2025
Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound
MICCAI 2025
Efficient Differentiable Approximation of Generalized Low-rank Regularization
IJCAI 2025
Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark
COLING 2025
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
EMNLP 2025
Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization
NAACL 2025
Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling
EMNLP 2025
Agent Planning with World Knowledge Model
NIPS 2024
Retrieved In-Context Principles from Previous Mistakes
EMNLP 2024
RaFe: Ranking Feedback Improves Query Rewriting for RAG
EMNLP 2024
Knowledge Mechanisms in Large Language Models: A Survey and Perspective
EMNLP 2024
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario
EMNLP 2024
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network
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
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
NIPS 2024
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
NIPS 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
ACL 2024
Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters
ACL 2024
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model
ACL 2024
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
ACL 2024
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning
NAACL 2024
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process
EMNLP 2024
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
IJCAI 2024
Periodicity Decoupling Framework for Long-term Series Forecasting
ICLR 2024
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
ICLR 2024
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
ICLR 2024
MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition
ACL 2023
COMBO: A Complete Benchmark for Open KG Canonicalization
EACL 2023
Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction
NIPS 2023
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER
IJCAI 2023
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition
SEMEVAL 2023
Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning
ACL 2023
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition
ACL 2023
Covariate-Shift Generalization via Random Sample Weighting
AAAI 2023
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks
ACL 2023
Improving Low-resource Named Entity Recognition with Graph Propagated Data Augmentation
ACL 2023
Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing
ACL 2023
Do PLMs Know and Understand Ontological Knowledge?
ACL 2023
Metis: Understanding and Enhancing In-Network Regular Expressions
NIPS 2023
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
ICCV 2023
Few-Shot Backdoor Attacks on Visual Object Tracking
ICLR 2022
Domain-Specific NER via Retrieving Correlated Samples
COLING 2022
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments
COLING 2022
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
EMNLP 2022
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
NAACL 2022
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
SEMEVAL 2022
Deep Dirichlet process mixture models
UAI 2022
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition
NAACL 2022
Named Entity and Relation Extraction with Multi-Modal Retrieval
EMNLP 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
NIPS 2022
Defending against Model Stealing via Verifying Embedded External Features
AAAI 2022
Generalized Supervised Attention for Text Generation
ACL 2021
Clustering Effect of Adversarial Robust Models
NIPS 2021
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor
ACL 2021
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
ACL 2021
Automated Concatenation of Embeddings for Structured Prediction
ACL 2021
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision
ACL 2021
Towards Emotional Support Dialog Systems
ACL 2021
Diversifying Dialog Generation via Adaptive Label Smoothing
ACL 2021
Risk Minimization for Zero-shot Sequence Labeling
ACL 2021
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings
ACL 2021
Unsupervised Natural Language Parsing (Introductory Tutorial)
EACL 2021
MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations
EMNLP 2021
Word Reordering for Zero-shot Cross-lingual Structured Prediction
EMNLP 2021
A Unified Encoding of Structures in Transition Systems
EMNLP 2021
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
ICLR 2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing
ICLR 2021
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor
IJCNLP 2021
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
IJCNLP 2021
Automated Concatenation of Embeddings for Structured Prediction
IJCNLP 2021
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision
IJCNLP 2021
Towards Emotional Support Dialog Systems
IJCNLP 2021
Diversifying Dialog Generation via Adaptive Label Smoothing
IJCNLP 2021
Risk Minimization for Zero-shot Sequence Labeling
IJCNLP 2021
Generalized Supervised Attention for Text Generation
IJCNLP 2021
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings
IJCNLP 2021
Reducing the Annotation Effort for Video Object Segmentation Datasets
WACV 2021
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network
EMNLP 2020
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities
NIPS 2020
Stochastic Deep Gaussian Processes over Graphs
NIPS 2020
Improving Query Efficiency of Black-box Adversarial Attack
ECCV 2020
One-Shot Adversarial Attacks on Visual Tracking With Dual Attention
CVPR 2020
Second-Order Unsupervised Neural Dependency Parsing
COLING 2020
A Survey of Unsupervised Dependency Parsing
COLING 2020
More Embeddings, Better Sequence Labelers?
EMNLP 2020
An Investigation of Potential Function Designs for Neural CRF
EMNLP 2020
Adversarial Attack and Defense of Structured Prediction Models
EMNLP 2020
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data
ACL 2020
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
ACL 2020
An Empirical Comparison of Unsupervised Constituency Parsing Methods
ACL 2020
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization
NIPS 2020
Multilingual Grammar Induction with Continuous Language Identification
EMNLP 2019
A Regularization-based Framework for Bilingual Grammar Induction
EMNLP 2019
Multilingual Grammar Induction with Continuous Language Identification
IJCNLP 2019
A Regularization-based Framework for Bilingual Grammar Induction
IJCNLP 2019
Bidirectional Transition-Based Dependency Parsing
AAAI 2019
DAL: Dual Adversarial Learning for Dialogue Generation
NAACL 2019
Hilbert-Based Generative Defense for Adversarial Examples
ICCV 2019
Automatic Grassland Degradation Estimation Using Deep Learning
IJCAI 2019
Enhancing Unsupervised Generative Dependency Parser with Contextual Information
ACL 2019
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition
EMNLP 2017
CRF Autoencoder for Unsupervised Dependency Parsing
EMNLP 2017
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex
NIPS 2017
Semi-supervised Structured Prediction with Neural CRF Autoencoder
EMNLP 2017
Dependency Grammar Induction with Neural Lexicalization and Big Training Data
EMNLP 2017
Unsupervised Neural Dependency Parsing
EMNLP 2016