Yulan He

Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score AAAI 2026 Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction EACL 2026 Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning ACL 2026 SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding ACL 2026 PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA ACL 2025 EnigmaToM: Improve LLMs’ Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States ACL 2025 Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models ACL 2025 Evaluating LLMs’ Assessment of Mixed-Context Hallucination Through the Lens of Summarization ACL 2025 Cascading Large Language Models for Salient Event Graph Generation NAACL 2025 Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning ICML 2025 Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration ICML 2025 Constrain Alignment with Sparse Autoencoders ICML 2025 Modeling Subjectivity in Cognitive Appraisal with Language Models EMNLP 2025 RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering EMNLP 2025 LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop EMNLP 2025 AERA Chat: An Interactive Platform for Automated Explainable Student Answer Assessment EMNLP 2025 GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery EMNLP 2025 Sparse Activation Editing for Reliable Instruction Following in Narratives EMNLP 2025 NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning EMNLP 2025 Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time EMNLP 2025 CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation EMNLP 2025 LlmLink: Dual LLMs for Dynamic Entity Linking on Long Narratives with Collaborative Memorisation and Prompt Optimisation COLING 2025 FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema COLING 2025 LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization COLING 2025 RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following ACL 2025 Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification ACL 2025 Hatevolution: What Static Benchmarks Don’t Tell Us ACL 2025 ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language AAAI 2025 Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment AAAI 2025 An Automated Explainable Educational Assessment System Built on LLMs AAAI 2025 Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference ACL 2025 WebWalker: Benchmarking LLMs in Web Traversal ACL 2025 PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation ACL 2025 SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation ACL 2025 Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering ACL 2025 COPR: Continual Human Preference Learning via Optimal Policy Regularization ACL 2025 Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation ACL 2025 CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling COLING 2024 NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing AAAI 2024 Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning ACL 2024 OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models ACL 2024 DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information ACL 2024 Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models ACL 2024 Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives ACL 2024 Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024 Knowledge Graphs for Real-World Rumour Verification COLING 2024 Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods COLING 2024 Topic Taxonomy Construction from ESG Reports COLING 2024 Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study EACL 2024 NarrativePlay: Interactive Narrative Understanding EACL 2024 Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence EMNLP 2024 Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 2024 The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis EMNLP 2024 Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems EMNLP 2024 Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring EMNLP 2024 CPPO: Continual Learning for Reinforcement Learning with Human Feedback ICLR 2024 Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation NAACL 2024 Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization ACL 2023 Distilling ChatGPT for Explainable Automated Student Answer Assessment EMNLP 2023 EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification EMNLP 2023 A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports EMNLP 2023 Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions ACL 2023 CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models UAI 2023 Causal Inference from Text: Unveiling Interactions between Variables EMNLP 2023 A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System EACL 2023 Event Temporal Relation Extraction with Bayesian Translational Model EACL 2023 PANACEA: An Automated Misinformation Detection System on COVID-19 EACL 2023 NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization EACL 2023 Distinguishability Calibration to In-Context Learning EACL 2023 Counterfactual Generation with Identifiability Guarantees NIPS 2023 Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding EMNLP 2023 Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network ACL 2022 JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection ACL 2022 RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators NAACL 2022 Cross-Modal Prototype Driven Network for Radiology Report Generation ECCV 2022 PHEE: A Dataset for Pharmacovigilance Event Extraction from Text EMNLP 2022 Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation EMNLP 2022 Addressing token uniformity in transformers via singular value transformation UAI 2022 PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence ACL 2022 Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims NAACL 2022 Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media NAACL 2022 A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness AAAI 2021 A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews NAACL 2021 Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification IJCNLP 2021 A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation EMNLP 2021 A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection IJCNLP 2021 Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification ACL 2021 Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection ACL 2021 Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction IJCNLP 2021 A Query-Driven Topic Model IJCNLP 2021 Extracting Event Temporal Relations via Hyperbolic Geometry EMNLP 2021 Implicit Sentiment Analysis with Event-centered Text Representation EMNLP 2021 Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs EMNLP 2021 MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces AAAI 2021 Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews EACL 2021 Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection IJCNLP 2021 A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection ACL 2021 Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies EACL 2021 Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification IJCNLP 2021 Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes EMNLP 2021 Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification ACL 2021 A Query-Driven Topic Model ACL 2021 Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction ACL 2021 BullStop: A Mobile App for Cyberbullying Prevention COLING 2020 Neural Temporal Opinion Modelling for Opinion Prediction on Twitter ACL 2020 Neural Topic Modeling with Bidirectional Adversarial Training ACL 2020 CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering COLING 2020 Open Event Extraction from Online Text using a Generative Adversarial Network IJCNLP 2019 Neural Topic Model with Reinforcement Learning EMNLP 2019 Open Event Extraction from Online Text using a Generative Adversarial Network EMNLP 2019 Interpretable Relevant Emotion Ranking with Event-Driven Attention EMNLP 2019 Variational Conditional GAN for Fine-grained Controllable Image Generation ACML 2019 Interpretable Relevant Emotion Ranking with Event-Driven Attention IJCNLP 2019 Neural Topic Model with Reinforcement Learning IJCNLP 2019 Variational Autoregressive Decoder for Neural Response Generation EMNLP 2018 An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking EMNLP 2018 Relevant Emotion Ranking from Text Constrained with Emotion Relationships NAACL 2018 Neural Storyline Extraction Model for Storyline Generation from News Articles NAACL 2018 Detecting Perspectives in Political Debates EMNLP 2017 A Question Answering Approach for Emotion Cause Extraction EMNLP 2017 Stance Classification with Target-specific Neural Attention IJCAI 2017 Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings EACL 2017 Topic Extraction from Microblog Posts Using Conversation Structures ACL 2016 Adverse Drug Reaction Classification With Deep Neural Networks COLING 2016 Unsupervised Storyline Extraction from News Articles IJCAI 2016 A Study of the Impact of Persuasive Argumentation in Political Debates NAACL 2016 Intersubjectivity and Sentiment: From Language to Knowledge IJCAI 2016 Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling ACL 2016 Improving Distributed Representation of Word Sense via WordNet Gloss Composition and Context Clustering IJCNLP 2015 An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles EMNLP 2015 Improving Distributed Representation of Word Sense via WordNet Gloss Composition and Context Clustering ACL 2015 A Simple Bayesian Modelling Approach to Event Extraction from Twitter ACL 2014 Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media ACL 2014 Automatic Labelling of Topic Models Learned from Twitter by Summarisation ACL 2014 A Weakly Supervised Bayesian Model for Violence Detection in Social Media IJCNLP 2013 An Empirical Study on Uncertainty Identification in Social Media Context ACL 2013 Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification ACL 2011 Sentence Subjectivity Detection with Weakly-Supervised Learning IJCNLP 2011 A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection CONLL 2010 A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus COLING 2008