Yulan He

138 papers · 2008–2026 · 15 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (17) 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (15) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (17) 🌈 Renaissance Researcher (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (34) 🤝 Dynamic Duo (43) 🏆 Keyword Champion (2) 🏆 Grand Slam 🔬 Deep Specialist (21) 🧬 Topic Evolution ⚡ Prolific Year (6) ❓ The Questioner 🗃️ Keyword Collector (494) 💎 Century Club (136) 🔥 Unstoppable (13)

Conferences

ACL (41) EMNLP (34) IJCNLP (12) COLING (11) EACL (11) NAACL (9) AAAI (7) ICML (3) IJCAI (3) UAI (2) ACML (1) CONLL (1) ECCV (1) ICLR (1) NIPS (1)

Top co-authors

Lin Gui (44) Deyu Zhou (35) Gabriele Pergola (23) Jiazheng Li (19) Hanqi Yan (18) Ruifeng Xu (14) Linhai Zhang (13) Runcong Zhao (12) Lixing Zhu (11) Maria Liakata (10)

Research topics

Education (4) Understanding (1)

Keywords

large language model (33) question answering (8) event extraction (8) variational autoencoder (7) text classification (7) stance detection (6) topic modeling (6) neural network (6) sentiment analysis (6) emotion detection (5) text generation (5) rationale generation (5) contrastive learning (5) information extraction (5) multi-label classification (5) retrieval-augmented generation (5) neural topic model (5) reinforcement learning (5) narrative understanding (4) commonsense knowledge (4)

Papers

Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction EACL 2026

Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score AAAI 2026

PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation 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

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

Hatevolution: What Static Benchmarks Don’t Tell Us ACL 2025

Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification ACL 2025

RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following ACL 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

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

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

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

Cascading Large Language Models for Salient Event Graph Generation NAACL 2025

LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization COLING 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

ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language AAAI 2025

Modeling Subjectivity in Cognitive Appraisal with Language Models EMNLP 2025

RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering EMNLP 2025

WebWalker: Benchmarking LLMs in Web Traversal ACL 2025

Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference ACL 2025

SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation ACL 2025

Knowledge Graphs for Real-World Rumour Verification COLING 2024

Topic Taxonomy Construction from ESG Reports COLING 2024

NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing AAAI 2024

Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation NAACL 2024

CPPO: Continual Learning for Reinforcement Learning with Human Feedback ICLR 2024

Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring EMNLP 2024

Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems EMNLP 2024

The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis EMNLP 2024

Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 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

Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence EMNLP 2024

NarrativePlay: Interactive Narrative Understanding EACL 2024

Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study EACL 2024

CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling COLING 2024

Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods COLING 2024

Counterfactual Generation with Identifiability Guarantees NIPS 2023

Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization ACL 2023

Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions ACL 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

A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports EMNLP 2023

EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification EMNLP 2023

Distilling ChatGPT for Explainable Automated Student Answer Assessment EMNLP 2023

Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding EMNLP 2023

Causal Inference from Text: Unveiling Interactions between Variables EMNLP 2023

CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models UAI 2023

Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media NAACL 2022

PHEE: A Dataset for Pharmacovigilance Event Extraction from Text EMNLP 2022

PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence ACL 2022

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

Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation EMNLP 2022

Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims NAACL 2022

RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators NAACL 2022

Addressing token uniformity in transformers via singular value transformation UAI 2022

Cross-Modal Prototype Driven Network for Radiology Report Generation ECCV 2022

A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation EMNLP 2021

Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes EMNLP 2021

Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction IJCNLP 2021

Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification IJCNLP 2021

MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces AAAI 2021

A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness AAAI 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

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

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection ACL 2021

Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification ACL 2021

A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews NAACL 2021

Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews EACL 2021

Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies EACL 2021

A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection IJCNLP 2021

Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification IJCNLP 2021

A Query-Driven Topic Model IJCNLP 2021

Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs EMNLP 2021

Implicit Sentiment Analysis with Event-centered Text Representation EMNLP 2021

Extracting Event Temporal Relations via Hyperbolic Geometry EMNLP 2021

Neural Topic Modeling with Bidirectional Adversarial Training ACL 2020

Neural Temporal Opinion Modelling for Opinion Prediction on Twitter ACL 2020

BullStop: A Mobile App for Cyberbullying Prevention COLING 2020

CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering COLING 2020

Interpretable Relevant Emotion Ranking with Event-Driven Attention EMNLP 2019

Open Event Extraction from Online Text using a Generative Adversarial Network EMNLP 2019

Neural Topic Model with Reinforcement Learning EMNLP 2019

Interpretable Relevant Emotion Ranking with Event-Driven Attention IJCNLP 2019

Open Event Extraction from Online Text using a Generative Adversarial Network IJCNLP 2019

Neural Topic Model with Reinforcement Learning IJCNLP 2019

Variational Conditional GAN for Fine-grained Controllable Image Generation ACML 2019

Neural Storyline Extraction Model for Storyline Generation from News Articles NAACL 2018

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

A Question Answering Approach for Emotion Cause Extraction EMNLP 2017

Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings EACL 2017

Detecting Perspectives in Political Debates EMNLP 2017

Stance Classification with Target-specific Neural Attention IJCAI 2017

Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling ACL 2016

Intersubjectivity and Sentiment: From Language to Knowledge IJCAI 2016

Unsupervised Storyline Extraction from News Articles IJCAI 2016

A Study of the Impact of Persuasive Argumentation in Political Debates NAACL 2016

Adverse Drug Reaction Classification With Deep Neural Networks COLING 2016

Topic Extraction from Microblog Posts Using Conversation Structures 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

Automatic Labelling of Topic Models Learned from Twitter by Summarisation ACL 2014

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

An Empirical Study on Uncertainty Identification in Social Media Context ACL 2013

A Weakly Supervised Bayesian Model for Violence Detection in Social Media IJCNLP 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