Mo Yu

Orcid: 0000-0003-0949-6113

According to our database1, Mo Yu authored at least 146 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation.
Trans. Assoc. Comput. Linguistics, 2024

A Survey on the Honesty of Large Language Models.
CoRR, 2024

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders.
CoRR, 2024

Think out Loud: Emotion Deducing Explanation in Dialogues.
CoRR, 2024

MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models.
CoRR, 2024

Graph Representation of Narrative Context: Coherence Dependency via Retrospective Questions.
CoRR, 2024

Identifying Factual Inconsistency in Summaries: Towards Effective Utilization of Large Language Model.
CoRR, 2024

Previously on the Stories: Recap Snippet Identification for Story Reading.
CoRR, 2024

On Large Language Models' Hallucination with Regard to Known Facts.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking the Evaluation of In-Context Learning for LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On the token distance modeling ability of higher RoPE attention dimension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Plot Retrieval as an Assessment of Abstract Semantic Association.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions.
CoRR, 2023

MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics.
CoRR, 2023

Generalizable Reinforcement Learning-Based Coarsening Model for Resource Allocation over Large and Diverse Stream Processing Graphs.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models.
Proceedings of the International Conference on Machine Learning, 2023

Explicit Planning Helps Language Models in Logical Reasoning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Personality Understanding of Fictional Characters during Book Reading.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

The Art of Prompting: Event Detection based on Type Specific Prompts.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Evidence Integration for Multi-Hop Reading Comprehension With Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., 2022

FaithDial: A Faithful Benchmark for Information-Seeking Dialogue.
Trans. Assoc. Comput. Linguistics, 2022

Group Chat Ecology in Enterprise Instant Messaging: How Employees Collaborate Through Multi-User Chat Channels on Slack.
Proc. ACM Hum. Comput. Interact., 2022

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind.
CoRR, 2022

Probing Script Knowledge from Pre-Trained Models.
CoRR, 2022

Efficient Long Sequence Encoding via Synchronization.
CoRR, 2022

TVShowGuess: Character Comprehension in Stories as Speaker Guessing.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Survey of Machine Narrative Reading Comprehension Assessments.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Linking Emergent and Natural Languages via Corpus Transfer.
Proceedings of the Tenth International Conference on Learning Representations, 2022

MBTI Personality Prediction for Fictional Characters Using Movie Scripts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Revisiting the Roles of "Text" in Text Games.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study.
Trans. Assoc. Comput. Linguistics, 2021

CASS: Towards Building a Social-Support Chatbot for Online Health Community.
Proc. ACM Hum. Comput. Interact., 2021

Feudal Reinforcement Learning by Reading Manuals.
CoRR, 2021

It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset.
CoRR, 2021

Improved Text Classification via Contrastive Adversarial Training.
CoRR, 2021

CASS: Towards Building a Social-Support Chatbot for Online Health Community.
CoRR, 2021

Understanding Interlocking Dynamics of Cooperative Rationalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Multilingual BERT Post-Pretraining Alignment.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Interpretable Visual Reasoning via Induced Symbolic Space.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Complementary Evidence Identification in Open-Domain Question Answering.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021


2020
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.
CoRR, 2020

Deriving Commonsense Inference Tasks from Interactive Fictions.
CoRR, 2020

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.
CoRR, 2020

Leveraging Semantic Parsing for Relation Linking over Knowledge Bases.
Proceedings of the Semantic Web - ISWC 2020, 2020

Invariant Rationalization.
Proceedings of the 37th International Conference on Machine Learning, 2020

MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Frustratingly Hard Evidence Retrieval for QA Over Books.
Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, 2020

Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A hybrid approach with optimization-based and metric-based meta-learner for few-shot learning.
Neurocomputing, 2019

An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack.
CoRR, 2019

Towards Open-Domain Named Entity Recognition via Neural Correction Models.
CoRR, 2019

Meta Reasoning over Knowledge Graphs.
CoRR, 2019

Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat.
CoRR, 2019

A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning.
CoRR, 2019

Few-shot Learning with Meta Metric Learners.
CoRR, 2019

NE-Table: A Neural key-value table for Named Entities.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

A Game Theoretic Approach to Class-wise Selective Rationalization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Sentence Embedding Alignment for Lifelong Relation Extraction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

DAG-GNN: DAG Structure Learning with Graph Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Out-of-Domain Detection for Low-Resource Text Classification Tasks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Context-Aware Conversation Thread Detection in Multi-Party Chat.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Leveraging Dependency Forest for Neural Medical Relation Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-Granular Text Encoding for Self-Explaining Categorization.
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

TWEETQA: A Social Media Focused Question Answering Dataset.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Self-Supervised Learning for Contextualized Extractive Summarization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Do Multi-hop Readers Dream of Reasoning Chains?
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Hybrid Reinforcement Learning with Expert State Sequences.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Community-Based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation.
Proceedings of the Social Network Based Big Data Analysis and Applications, 2018

SQL-to-Text Generation with Graph-to-Sequence Model.
CoRR, 2018

Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks.
CoRR, 2018

Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification.
CoRR, 2018

Named Entities troubling your Neural Methods? Build NE-Table: A neural approach for handling Named Entities.
CoRR, 2018

Diverse Few-Shot Text Classification with Multiple Metrics.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering.
Proceedings of the 6th International Conference on Learning Representations, 2018

Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

One-Shot Relational Learning for Knowledge Graphs.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Improving Reinforcement Learning Based Image Captioning with Natural Language Prior.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deriving Machine Attention from Human Rationales.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Image Super-Resolution via Dual-State Recurrent Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Knowledge Base Relation Detection via Multi-View Matching.
Proceedings of the New Trends in Databases and Information Systems, 2018

A Co-Matching Model for Multi-choice Reading Comprehension.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

R<sup>3</sup>: Reinforced Ranker-Reader for Open-Domain Question Answering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
R<sup>3</sup>: Reinforced Reader-Ranker for Open-Domain Question Answering.
CoRR, 2017

Robust Task Clustering for Deep Many-Task Learning.
CoRR, 2017

Comparative Study of CNN and RNN for Natural Language Processing.
CoRR, 2017

Dilated Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Structured Self-Attentive Sentence Embedding.
Proceedings of the 5th International Conference on Learning Representations, 2017

Improved Neural Relation Detection for Knowledge Base Question Answering.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking.
CoRR, 2016

Leveraging Sentence-level Information with Encoder LSTM for Natural Language Understanding.
CoRR, 2016

Embedding Lexical Features via Low-Rank Tensors.
Proceedings of the NAACL HLT 2016, 2016

Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Simple Question Answering by Attentive Convolutional Neural Network.
Proceedings of the COLING 2016, 2016

New to online dating? Learning from experienced users for a successful match.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Learning Composition Models for Phrase Embeddings.
Trans. Assoc. Comput. Linguistics, 2015

Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

A Concrete Chinese NLP Pipeline.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Improved Relation Extraction with Feature-Rich Compositional Embedding Models.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

An Empirical Study of Chinese Name Matching and Applications.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
User Recommendations in Reciprocal and Bipartite Social Networks-An Online Dating Case Study.
IEEE Intell. Syst., 2014

Accelerated Mini-batch Randomized Block Coordinate Descent Method.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Who were you talking to - Mining interpersonal relationships from cellphone network data.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Improving Lexical Embeddings with Semantic Knowledge.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
User recommendation in reciprocal and bipartite social networks - a case study of online dating.
CoRR, 2013

Recommendation in Reciprocal and Bipartite Social Networks-A Case Study of Online Dating.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Compound Embedding Features for Semi-supervised Learning.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Learning Domain Differences Automatically for Dependency Parsing Adaptation.
Proceedings of the IJCAI 2013, 2013

Cross-lingual Projections between Languages from Different Families.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Locally Training the Log-Linear Model for SMT.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Semi-supervised Learning Framework for Cross-Lingual Projection.
Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2011

Semi-supervised learning for word sense disambiguation using parallel corpora.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Target-dependent Twitter Sentiment Classification.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Diversifying landmark image search results by learning interested views from community photos.
Proceedings of the 19th International Conference on World Wide Web, 2010

Event Entailment Extraction Based on EM Iteration.
Proceedings of the International Conference on Asian Language Processing, 2010

2009
Argo: intelligent advertising made possible from users' photos.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Argo: intelligent advertising by mining a user's interest from his photo collections.
Proceedings of the 3rd ACM SIGKDD Workshop on Data Mining and Audience Intelligence for Advertising, 2009

Advertising based on users' photos.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009


  Loading...