Yanan Cao

46 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (8) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (102) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (5) 🌈 Renaissance Researcher (10) 🤝 Dynamic Duo (17) 🧬 Topic Evolution 📈 Trend Setter ⚡ Prolific Year (10) 💎 Century Club (42) 🗃️ Keyword Collector (230) 🔥 Unstoppable (6)

Conferences

ACL (13) EMNLP (13) AAAI (7) COLING (4) NAACL (3) NIPS (2) EACL (1) ICML (1) IJCAI (1) IJCNLP (1)

Top co-authors

Zheng Lin (17) Fang Fang (15) Shi Wang (10) Weiping Wang (10) Yubing Ren (8) Xixun Lin (6) Ruipeng Jia (6) Yanmin Shang (6) Peng Fu (6) Yuanxin Liu (5)

Research topics

Keywords

large language model (11) graph neural network (6) extractive summarization (5) visual question answering (4) contrastive learning (3) domain generalization (3) link prediction (3) dialogue generation (3) knowledge distillation (3) event argument extraction (3) zero-shot learning (3) model compression (2) graph embedding (2) transfer learning (2) model pruning (2) bias mitigation (2) code generation (2) neural network pruning (2) in-context learning (2) text summarization (2)

Papers

PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models AAAI 2026

Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing EACL 2026

Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts AAAI 2026

MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge Through Group Direct Preference Optimization AAAI 2026

A Group Fairness Lens for Large Language Models EMNLP 2025

Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference COLING 2025

Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning EMNLP 2025

UniFORM: Towards Unified Framework for Anomaly Detection on Graphs AAAI 2025

From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models ACL 2025

Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction ACL 2025

Dynamic Evaluation with Cognitive Reasoning for Multi-turn Safety of Large Language Models ACL 2025

TableCoder: Table Extraction from Text via Reliable Code Generation ACL 2025

Dual-Path Counterfactual Integration for Multimodal Aspect-Based Sentiment Classification EMNLP 2025

RelationalCoder: Rethinking Complex Tables via Programmatic Relational Transformation ACL 2025

PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization ACL 2025

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification ICML 2024

TISE: A Tripartite In-context Selection Method for Event Argument Extraction NAACL 2024

Towards One-to-Many Visual Question Answering EMNLP 2024

DEIE: Benchmarking Document-level Event Information Extraction with a Large-scale Chinese News Dataset COLING 2024

Subtle Signatures, Strong Shields: Advancing Robust and Imperceptible Watermarking in Large Language Models ACL 2024

Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023

Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation ACL 2023

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking ACL 2023

DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation ACL 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation ACL 2023

Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation EMNLP 2023

An Empirical Study of Instruction-tuning Large Language Models in Chinese EMNLP 2023

Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction EMNLP 2023

Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022

CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction COLING 2022

Slot Dependency Modeling for Zero-Shot Cross-Domain Dialogue State Tracking COLING 2022

Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization ACL 2022

Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge IJCAI 2022

Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training NAACL 2022

Non-Autoregressive Chinese ASR Error Correction with Phonological Training NAACL 2022

How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View AAAI 2022

Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA EMNLP 2022

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NIPS 2022

Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences AAAI 2021

TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network EMNLP 2021

Deep Differential Amplifier for Extractive Summarization IJCNLP 2021

SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map EMNLP 2021

Deep Differential Amplifier for Extractive Summarization ACL 2021

Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network AAAI 2020

Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network EMNLP 2020

Graph Geometry Interaction Learning NIPS 2020