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Mo Yu

100 papers · 2011–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+18 more ↓ πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird
🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (14) 🏠 Conference Loyalist (27) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (31) 🧬 Topic Evolution πŸ† Grand Slam πŸ‘₯ Mega-Team (30) πŸ”¬ Deep Specialist (18) πŸ† Keyword Champion (4) πŸ”₯ Unstoppable (15) ❓ The Questioner (2) ⚑ Prolific Year (24) πŸ’Ž Century Club (98) πŸ—ƒοΈ Keyword Collector (392) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

ACL (28) EMNLP (27) NAACL (15) IJCNLP (6) AAAI (5) ICML (4) NIPS (4) IJCAI (3) CVPR (2) ICLR (2) COLING (1) CONLL (1) EACL (1) ICCV (1)

Research topics

Papers

ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning AAAI 2026 Situated Embedding Models for Context-Aware Dense Retrieval ACL 2026 Understanding LLMs’ Fluid Intelligence Deficiency: An Analysis of the ARC Task NAACL 2025 DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models EMNLP 2025 The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters ACL 2025 Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings EMNLP 2025 Coherency Improved Explainable Recommendation via Large Language Model AAAI 2025 The Stochastic Parrot on LLM’s Shoulder: A Summative Assessment of Physical Concept Understanding NAACL 2025 Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions ACL 2024 Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind ICML 2024 Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy EMNLP 2024 On the token distance modeling ability of higher RoPE attention dimension EMNLP 2024 Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024 On Large Language Models’ Hallucination with Regard to Known Facts NAACL 2024 Plot Retrieval as an Assessment of Abstract Semantic Association ACL 2024 Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation ACL 2024 Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models ICML 2023 Personality Understanding of Fictional Characters during Book Reading ACL 2023 The Art of Prompting: Event Detection based on Type Specific Prompts ACL 2023 Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension ACL 2023 JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions ACL 2023 Explicit Planning Helps Language Models in Logical Reasoning EMNLP 2023 Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition NAACL 2022 Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension ACL 2022 It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books ACL 2022 Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization ACL 2022 Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding ACL 2022 A Survey of Machine Narrative Reading Comprehension Assessments IJCAI 2022 Linking Emergent and Natural Languages via Corpus Transfer ICLR 2022 Probing Script Knowledge from Pre-Trained Models EMNLP 2022 Generating Coherent Narratives with Subtopic Planning to Answer How-to Questions EMNLP 2022 Revisiting the Roles of β€œText” in Text Games EMNLP 2022 MBTI Personality Prediction for Fictional Characters Using Movie Scripts EMNLP 2022 TVShowGuess: Character Comprehension in Stories as Speaker Guessing NAACL 2022 On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? NAACL 2022 Leveraging Abstract Meaning Representation for Knowledge Base Question Answering IJCNLP 2021 Complementary Evidence Identification in Open-Domain Question Answering EACL 2021 Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations NAACL 2021 Multilingual BERT Post-Pretraining Alignment NAACL 2021 Understanding Interlocking Dynamics of Cooperative Rationalization NIPS 2021 Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport EMNLP 2021 Leveraging Abstract Meaning Representation for Knowledge Base Question Answering ACL 2021 Interpretable Visual Reasoning via Induced Symbolic Space ICCV 2021 Invariant Rationalization ICML 2020 Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation CVPR 2020 Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning AAAI 2020 Frustratingly Hard Evidence Retrieval for QA Over Books ACL 2020 Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning EMNLP 2020 MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning EMNLP 2020 Context-Aware Conversation Thread Detection in Multi-Party Chat EMNLP 2019 Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering EMNLP 2019 Do Multi-hop Readers Dream of Reasoning Chains? EMNLP 2019 Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering EMNLP 2019 TWEETQA: A Social Media Focused Question Answering Dataset ACL 2019 Self-Supervised Learning for Contextualized Extractive Summarization ACL 2019 Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network ACL 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019 Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing NAACL 2019 Context-Aware Conversation Thread Detection in Multi-Party Chat IJCNLP 2019 Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control IJCNLP 2019 Out-of-Domain Detection for Low-Resource Text Classification Tasks IJCNLP 2019 Leveraging Dependency Forest for Neural Medical Relation Extraction IJCNLP 2019 Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers ACL 2019 A Game Theoretic Approach to Class-wise Selective Rationalization NIPS 2019 Multi-Granular Text Encoding for Self-Explaining Categorization ACL 2019 Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader ACL 2019 Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets ACL 2019 Sentence Embedding Alignment for Lifelong Relation Extraction NAACL 2019 Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019 Improving Natural Language Inference Using External Knowledge in the Science Questions Domain AAAI 2019 Leveraging Dependency Forest for Neural Medical Relation Extraction EMNLP 2019 Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019 Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP 2019 Diverse Few-Shot Text Classification with Multiple Metrics NAACL 2018 A Co-Matching Model for Multi-choice Reading Comprehension ACL 2018 Image Super-Resolution via Dual-State Recurrent Networks CVPR 2018 Improving Reinforcement Learning Based Image Captioning with Natural Language Prior EMNLP 2018 Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model EMNLP 2018 Deriving Machine Attention from Human Rationales EMNLP 2018 One-Shot Relational Learning for Knowledge Graphs EMNLP 2018 Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering ICLR 2018 Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents IJCAI 2018 Improved Neural Relation Detection for Knowledge Base Question Answering ACL 2017 Dilated Recurrent Neural Networks NIPS 2017 Simple Question Answering by Attentive Convolutional Neural Network COLING 2016 Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling EMNLP 2016 Embedding Lexical Features via Low-Rank Tensors NAACL 2016 An Empirical Study of Chinese Name Matching and Applications IJCNLP 2015 Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction NAACL 2015 A Concrete Chinese NLP Pipeline NAACL 2015 Improved Relation Extraction with Feature-Rich Compositional Embedding Models EMNLP 2015 An Empirical Study of Chinese Name Matching and Applications ACL 2015 Accelerated Mini-batch Randomized Block Coordinate Descent Method NIPS 2014 Improving Lexical Embeddings with Semantic Knowledge ACL 2014 Cross-lingual Projections between Languages from Different Families ACL 2013 Learning Domain Differences Automatically for Dependency Parsing Adaptation IJCAI 2013 Compound Embedding Features for Semi-supervised Learning NAACL 2013 Locally Training the Log-Linear Model for SMT EMNLP 2012 Locally Training the Log-Linear Model for SMT CONLL 2012 Target-dependent Twitter Sentiment Classification ACL 2011