Mo Yu
100 papers · 2011–2026 · 14 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π£ Hot Topic Early Bird
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(5)
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Interdisciplinary Bridge
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Conference Polyglot
(14)
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Conference Loyalist
(27)
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Keyword Trendsetter Combo
(3)
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Dynamic Duo
(31)
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Topic Evolution
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Grand Slam
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Mega-Team
(30)
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Deep Specialist
(18)
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Keyword Champion
(4)
π₯
Unstoppable
(15)
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The Questioner
(2)
β‘
Prolific Year
(24)
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Century Club
(98)
ποΈ
Keyword Collector
(392)
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Trend Setter
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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)
Top co-authors
Research topics
Keywords
question answering
(14)
large language model
(9)
text classification
(7)
information retrieval
(6)
reinforcement learning
(6)
reading comprehension
(6)
zero-shot learning
(5)
attention mechanism
(4)
natural language inference
(4)
feature selection
(4)
language model
(4)
narrative comprehension
(4)
few-shot learning
(4)
knowledge graph
(4)
neural network
(4)
benchmark evaluation
(3)
narrative understanding
(3)
question generation
(3)
natural language understanding
(3)
natural language processing
(3)
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 LLMsβ 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 LLMβs 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 Modelsβ 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 β An Authentic Dataset for Narrative Comprehension
ACL 2022
It is AIβs Turn to Ask Humans a Question: Question-Answer Pair Generation for Childrenβs 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 βTextβ 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