Yankai Lin

CURE: Critique-Driven Unified Reinforcement Learning for Test-Time Self-Improvement ACL 2026 Union-of-Experts: Neurons in Mixture-of-Experts are Secretly Routers ACL 2026 Forest Before Trees: Latent Superposition for Efficient Visual Reasoning ACL 2026 LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models ACL 2026 AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning EMNLP 2025 Beyond the Surface: Measuring Self-Preference in LLM Judgments EMNLP 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 Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization ICLR 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 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 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 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 Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages ICLR 2024 Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs ICLR 2024 DebugBench: Evaluating Debugging Capability of Large Language Models ACL 2024 Exploring the Benefit of Activation Sparsity in Pre-training ICML 2024 ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs ICLR 2024 Predicting Emergent Abilities with Infinite Resolution Evaluation 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 Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment EMNLP 2024 RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation EMNLP 2024 SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent EMNLP 2024 Large Language Model-based Human-Agent Collaboration for Complex Task Solving EMNLP 2024 Towards Tool Use Alignment of Large Language Models EMNLP 2024 ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback ICML 2024 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 WebCPM: Interactive Web Search for Chinese Long-form Question Answering ACL 2023 Plug-and-Play Knowledge Injection for Pre-trained Language Models ACL 2023 Plug-and-Play Document Modules for Pre-trained Models ACL 2023 Emergent Modularity in Pre-trained Transformers ACL 2023 Recyclable Tuning for Continual Pre-training 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 Decouple knowledge from paramters for plug-and-play language modeling ACL 2023 Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023 Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning 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 ROSE: Robust Selective Fine-tuning for Pre-trained Language Models EMNLP 2022 Exploring Mode Connectivity for Pre-trained Language Models 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 Topology-Imbalance Learning for Semi-Supervised Node Classification NIPS 2021 Dynamic Knowledge Distillation for Pre-trained Language Models EMNLP 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 ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning ACL 2021 Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information AAAI 2021 ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning IJCNLP 2021 Rethinking Stealthiness of Backdoor Attack against NLP Models IJCNLP 2021 CLEVE: Contrastive Pre-training for Event Extraction IJCNLP 2021 Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction IJCNLP 2021 TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference NAACL 2021 Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework AAAI 2021 CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild EMNLP 2021 RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models EMNLP 2021 CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade EMNLP 2021 More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction AACL 2020 Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation ACL 2020 Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View AAAI 2020 Coreferential Reasoning Learning for Language Representation EMNLP 2020 Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020 Disentangle-based Continual Graph Representation Learning EMNLP 2020 MAVEN: A Massive General Domain Event Detection Dataset EMNLP 2020 Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020 DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction ACL 2019 Graph Neural Networks with Generated Parameters for Relation Extraction ACL 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 NumNet: Machine Reading Comprehension with Numerical Reasoning EMNLP 2019 XQA: A Cross-lingual Open-domain Question Answering Dataset ACL 2019 Denoising Distantly Supervised Open-Domain Question Answering ACL 2018 Cross-lingual Lexical Sememe Prediction EMNLP 2018 Adversarial Multi-lingual Neural Relation Extraction COLING 2018 OpenKE: An Open Toolkit for Knowledge Embedding EMNLP 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