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Yong Jiang

127 papers · 2016–2026 · 18 conferences · across top CS/AI conferences

Achievements

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+16 more ↓ 🌍 Conference Polyglot (18) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (17) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (9)
πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (10) 🏠 Conference Loyalist (29) πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (50) πŸ”¬ Deep Specialist (18) πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸ’Ž Century Club (122) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (484) ❓ The Questioner (3) ⚑ Prolific Year (14) πŸš€ 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)

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 – 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