Yankai Lin

106 papers · 2015–2025 · 11 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (19) 🐝 Cross-Pollinator (4) 🏃 Academic Marathon (10) 🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (39) 🤝 Dynamic Duo (70) 🌱 Topic Pioneer 🔬 Deep Specialist (17) 🧬 Topic Evolution 🏆 Keyword Champion (3) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (25) 📈 Trend Setter 💎 Century Club (106) ⚡ Prolific Year (8) 🔥 Unstoppable (11) ❓ The Questioner (2) 🗃️ Keyword Collector (383) 🚀 Conference Pioneer

Conferences

ACL (39) EMNLP (29) ICLR (11) NAACL (6) COLING (5) IJCNLP (5) AAAI (3) NIPS (3) ICML (2) IJCAI (2) AACL (1)

Top co-authors

Zhiyuan Liu (70) Maosong Sun (62) Jie Zhou (54) Peng Li (40) Xu Han (30) Yujia Qin (18) Xin Cong (13) Ruobing Xie (12) Xu Sun (11) Zhong Zhang (10)

Keywords

large language model (19) pre-trained language model (17) relation extraction (12) graph neural network (8) model compression (8) language model (8) knowledge distillation (7) neural network (7) transfer learning (7) backdoor attack (5) domain adaptation (5) reinforcement learning (4) information extraction (4) contrastive learning (4) question answering (4) zero-shot learning (4) named entity recognition (4) representation learning (4) distant supervision (4) multi-agent system (4)

Papers

Distilling Rule-based Knowledge into Large Language Models COLING 2025

Exploring Backdoor Vulnerabilities of Chat Models COLING 2025

ICLEval: Evaluating In-Context Learning Ability of Large Language Models COLING 2025

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models ICLR 2025

Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance ICLR 2025

Rational Decision-Making Agent with Learning Internal Utility Judgment ICLR 2025

Advancing LLM Reasoning Generalists with Preference Trees ICLR 2025

AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning EMNLP 2025

Beyond the Surface: Measuring Self-Preference in LLM Judgments EMNLP 2025

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025

GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025

Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback ICLR 2025

Learning Evolving Tools for Large Language Models ICLR 2025

Learning to Generate Structured Output with Schema Reinforcement Learning ACL 2025

Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025

Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub ACL 2025

AgentRM: Enhancing Agent Generalization with Reward Modeling ACL 2025

GUICourse: From General Vision Language Model to Versatile GUI Agent ACL 2025

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs ACL 2025

LLM-Based Multi-Agent Systems are Scalable Graph Generative Models ACL 2025

Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025

Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization ICLR 2025

Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents ACL 2024

MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation ACL 2024

Exploring the Benefit of Activation Sparsity in Pre-training ICML 2024

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback ICML 2024

DebugBench: Evaluating Debugging Capability of Large Language Models ACL 2024

Large Language Model-based Human-Agent Collaboration for Complex Task Solving EMNLP 2024

SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent EMNLP 2024

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation EMNLP 2024

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment EMNLP 2024

Towards Tool Use Alignment of Large Language Models EMNLP 2024

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs ICLR 2024

Predicting Emergent Abilities with Infinite Resolution Evaluation ICLR 2024

Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs ICLR 2024

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages ICLR 2024

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents NIPS 2024

InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory NIPS 2024

WebCPM: Interactive Web Search for Chinese Long-form Question Answering ACL 2023

Emergent Modularity in Pre-trained Transformers ACL 2023

Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023

Recyclable Tuning for Continual Pre-training ACL 2023

Decouple knowledge from paramters for plug-and-play language modeling ACL 2023

Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023

Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules EMNLP 2023

Exploring the Impact of Model Scaling on Parameter-Efficient Tuning EMNLP 2023

Plug-and-Play Knowledge Injection for Pre-trained Language Models ACL 2023

Plug-and-Play Document Modules for Pre-trained Models ACL 2023

ROSE: Robust Selective Fine-tuning for Pre-trained Language Models EMNLP 2022

CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation ACL 2022

Packed Levitated Marker for Entity and Relation Extraction ACL 2022

Fully Hyperbolic Neural Networks ACL 2022

A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models ACL 2022

MoEfication: Transformer Feed-forward Layers are Mixtures of Experts ACL 2022

ELLE: Efficient Lifelong Pre-training for Emerging Data ACL 2022

Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach ACL 2022

On Length Divergence Bias in Textual Matching Models ACL 2022

Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models COLING 2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction EMNLP 2022

Exploring Mode Connectivity for Pre-trained Language Models EMNLP 2022

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning EMNLP 2022

From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models EMNLP 2022

Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification IJCAI 2022

Knowledge Inheritance for Pre-trained Language Models NAACL 2022

On Transferability of Prompt Tuning for Natural Language Processing NAACL 2022

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning ACL 2021

Topology-Imbalance Learning for Semi-Supervised Node Classification NIPS 2021

CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade EMNLP 2021

TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference NAACL 2021

Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework AAAI 2021

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction IJCNLP 2021

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models EMNLP 2021

CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild EMNLP 2021

Dynamic Knowledge Distillation for Pre-trained Language Models EMNLP 2021

CLEVE: Contrastive Pre-training for Event Extraction IJCNLP 2021

Rethinking Stealthiness of Backdoor Attack against NLP Models IJCNLP 2021

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning IJCNLP 2021

Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information AAAI 2021

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction ACL 2021

CLEVE: Contrastive Pre-training for Event Extraction ACL 2021

Rethinking Stealthiness of Backdoor Attack against NLP Models ACL 2021

MAVEN: A Massive General Domain Event Detection Dataset EMNLP 2020

Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020

Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation ACL 2020

More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction AACL 2020

Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View AAAI 2020

Disentangle-based Continual Graph Representation Learning EMNLP 2020

Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020

Coreferential Reasoning Learning for Language Representation EMNLP 2020

Graph Neural Networks with Generated Parameters for Relation Extraction ACL 2019

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction ACL 2019

XQA: A Cross-lingual Open-domain Question Answering Dataset ACL 2019

NumNet: Machine Reading Comprehension with Numerical Reasoning EMNLP 2019

DocRED: A Large-Scale Document-Level Relation Extraction Dataset ACL 2019

Fact Discovery from Knowledge Base via Facet Decomposition NAACL 2019

NumNet: Machine Reading Comprehension with Numerical Reasoning IJCNLP 2019

OpenKE: An Open Toolkit for Knowledge Embedding EMNLP 2018

Adversarial Multi-lingual Neural Relation Extraction COLING 2018

Cross-lingual Lexical Sememe Prediction EMNLP 2018

Denoising Distantly Supervised Open-Domain Question Answering ACL 2018

Neural Relation Extraction with Multi-lingual Attention ACL 2017

Incorporating Relation Paths in Neural Relation Extraction EMNLP 2017

Neural Sentiment Classification with User and Product Attention EMNLP 2016

Knowledge Representation Learning with Entities, Attributes and Relations IJCAI 2016

Neural Relation Extraction with Selective Attention over Instances ACL 2016

Modeling Relation Paths for Representation Learning of Knowledge Bases EMNLP 2015