Xiaomo Liu

According to our database, Xiaomo Liu authored at least 48 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CodeMirage: Hallucinations in Code Generated by Large Language Models.

Vibhor Agarwal, Yulong Pei, Salwa Alamir, Xiaomo Liu

CoRR, 2024

BuDDIE: A Business Document Dataset for Multi-task Information Extraction.

Ran Zmigrod, Dongsheng Wang, Mathieu Sibue, Yulong Pei, Petr Babkin, Ivan Brugere, Xiaomo Liu, Nacho Navarro, Antony Papadimitriou, William Watson, Zhiqiang Ma, Armineh Nourbakhsh, Sameena Shah

CoRR, 2024

Translating between SQL Dialects for Cloud Migration.

Ran Zmigrod, Salwa Alamir, Xiaomo Liu

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

Sampling Rate Adaptive Speaker Verification from Raw Waveforms.

Vinayak Abrol, Anshul Thakur, Akshat Gupta, Xiaomo Liu, Sameena Shah

Proceedings of the Pattern Recognition - 27th International Conference, 2024

"What is the value of templates?" Rethinking Document Information Extraction Datasets for LLMs.

Ran Zmigrod, Pranav Shetty, Mathieu Sibue, Zhiqiang Ma, Armineh Nourbakhsh, Xiaomo Liu, Manuela Veloso

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

The State of the Art of Large Language Models on Chartered Financial Analyst Exams.

Mahmoud Mahfouz, Ethan Callanan, Mathieu Sibue, Antony Papadimitriou, Zhiqiang Ma, Xiaomo Liu, Xiaodan Zhu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation.

Xianzhi Li, Ran Zmigrod, Zhiqiang Ma, Xiaomo Liu, Xiaodan Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding.

Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin, Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams.

Ethan Callanan, Amarachi Mbakwe, Antony Papadimitriou, Yulong Pei, Mathieu Sibue, Xiaodan Zhu, Zhiqiang Ma, Xiaomo Liu, Sameena Shah

CoRR, 2023

Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks.

Xianzhi Li, Xiaodan Zhu, Zhiqiang Ma, Xiaomo Liu, Sameena Shah

CoRR, 2023

Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data.

Akshat Gupta, Xiaomo Liu, Sameena Shah

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Search-Based Optimisation of LLM Learning Shots for Story Point Estimation.

Vali Tawosi, Salwa Alamir, Xiaomo Liu

Proceedings of the Search-Based Software Engineering - 15th International Symposium, 2023

Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop.

Sameena Shah, Xiaodan Zhu, Wenhu Chen, Manling Li, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Yulong Pei, Akshat Gupta

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Robust NLP for Finance (RobustFin).

Sameena Shah, Xiaodan Zhu, Gerard de Melo, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Zhiyu Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Large Scale Financial Time Series Forecasting with Multi-faceted Model.

Defu Cao, Yixiang Zheng, Parisa Hassanzadeh, Simran Lamba, Xiaomo Liu, Yan Liu

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks.

Xianzhi Li, Samuel Chan, Xiaodan Zhu, Yulong Pei, Zhiqiang Ma, Xiaomo Liu, Sameena Shah

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2022

AIR-JPMC@SMM4H'22: BERT + Ensembling = Too Cool: Using Multiple BERT Models Together for Various COVID-19 Tweet Identification Tasks.

Leung Wai Liu, Akshat Gupta, Saheed Obitayo, Xiaomo Liu, Sameena Shah

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

AIR-JPMC@SMM4H'22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling.

Adrian Garcia Hernandez, Leung Wai Liu, Akshat Gupta, Vineeth Ravi, Saheed O. Obitayo, Xiaomo Liu, Sameena Shah

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models.

Alec Louis Candidato, Akshat Gupta, Xiaomo Liu, Sameena Shah

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

2020

Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis.

Xiaomo Liu, G. Alan Wang, Weiguo Fan, Zhongju Zhang

Inf. Syst. Res., 2020

Towards Earnings Call and Stock Price Movement.

Zhiqiang Ma, Grace Bang, Chong Wang, Xiaomo Liu

CoRR, 2020

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.

Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John A. McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia-Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang

AI Mag., 2020

A multi-faceted approach to large scale financial forecasting.

Antony Papadimitriou, Urjitkumar Patel, Lisa Kim, Grace Bang, Azadeh Nematzadeh, Xiaomo Liu

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Utilization of deep learning to mine insights from earning calls for stock price movement predictions.

Zhiqiang Ma, Chong Wang, Grace Bang, Xiaomo Liu

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Discovery News: A Generic Framework for Financial News Recommendation.

Chong Wang, Lisa Kim, Grace Bang, Himani Singh, Russell Kociuba, Steven Pomerville, Xiaomo Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Empirical Study on Detecting Controversy in Social Media.

Azadeh Nematzadeh, Grace Bang, Xiaomo Liu, Zhiqiang Ma

CoRR, 2019

2018

TipMaster: A Knowledge Base of Authoritative Local News Sources on Social Media.

Xin Shuai, Xiaomo Liu, Armineh Nourbakhsh, Sameena Shah, Tonya Custis

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

"Breaking" Disasters: Predicting and Characterizing the Global News Value of Natural and Man-made Disasters.

Armineh Nourbakhsh, Quanzhi Li, Xiaomo Liu, Sameena Shah

CoRR, 2017

funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter.

Quanzhi Li, Sameena Shah, Armineh Nourbakhsh, Rui Fang, Xiaomo Liu

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts.

Quanzhi Li, Armineh Nourbakhsh, Xiaomo Liu, Rui Fang, Sameena Shah

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Data Sets: Word Embeddings Learned from Tweets and General Data.

Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Real-Time Novel Event Detection from Social Media.

Quanzhi Li, Armineh Nourbakhsh, Sameena Shah, Xiaomo Liu

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Reuters tracer: Toward automated news production using large scale social media data.

Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Sameena Shah, Robert Martin, John Duprey

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Tweet Topic Classification Using Distributed Language Representations.

Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Tweet Sentiment Analysis by Incorporating Sentiment-Specific Word Embedding and Weighted Text Features.

Quanzhi Li, Sameena Shah, Rui Fang, Armineh Nourbakhsh, Xiaomo Liu

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

User Behaviors in Newsworthy Rumors: A Case Study of Twitter.

Quanzhi Li, Xiaomo Liu, Rui Fang, Armineh Nourbakhsh, Sameena Shah

Proceedings of the Tenth International Conference on Web and Social Media, 2016

Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter.

Xiaomo Liu, Quanzhi Li, Armineh Nourbakhsh, Rui Fang, Merine Thomas, Kajsa Anderson, Russ Kociuba, Mark Vedder, Steven Pomerville, Ramdev Wudali, Robert Martin, John Duprey, Arun Vachher, William Keenan, Sameena Shah

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Hashtag Recommendation Based on Topic Enhanced Embedding, Tweet Entity Data and Learning to Rank.

Quanzhi Li, Sameena Shah, Armineh Nourbakhsh, Xiaomo Liu, Rui Fang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

TweetSift: Tweet Topic Classification Based on Entity Knowledge Base and Topic Enhanced Word Embedding.

Quanzhi Li, Sameena Shah, Xiaomo Liu, Armineh Nourbakhsh, Rui Fang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Using paraphrases to improve tweet classification: Comparing WordNet and word embedding approaches.

Quanzhi Li, Sameena Shah, Mohammad Mahdi Ghassemi, Rui Fang, Armineh Nourbakhsh, Xiaomo Liu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Witness Identification in Twitter.

Rui Fang, Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Quanzhi Li

Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 2016

Discovering Relevant Hashtags for Health Concepts: A Case Study of Twitter.

Quanzhi Li, Sameena Shah, Rui Fang, Armineh Nourbakhsh, Xiaomo Liu

Proceedings of the World Wide Web and Population Health Intelligence, 2016

2015

Examining micro-level knowledge sharing discussions in online communities.

G. Alan Wang, Xiaomo Liu, Jianling Wang, Min Zhang, Weiguo Fan

Inf. Syst. Frontiers, 2015

Newsworthy Rumor Events: A Case Study of Twitter.

Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Rui Fang, Mohammad Mahdi Ghassemi, Quanzhi Li

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Real-time Rumor Debunking on Twitter.

Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Rui Fang, Sameena Shah

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Harnessing global expertise: A comparative study of expertise profiling methods for online communities.

Xiaomo Liu, G. Alan Wang, Aditya Johri, Mi Zhou, Weiguo Fan

Inf. Syst. Frontiers, 2014

2011

A Knowledge Adoption Model Based Framework for Finding Helpful User-Generated Contents in Online Communities.

Gang Wang, Xiaomo Liu, Weiguo Fan

Proceedings of the International Conference on Information Systems, 2011

Utilizing topic modeling techniques to identify the emergence and growth of research topics in engineering education.

Aditya Johri, G. Alan Wang, Xiaomo Liu, Krishna P. C. Madhavan

Proceedings of the 2011 Frontiers in Education Conference, 2011