Kaixin Ma

According to our database, Kaixin Ma authored at least 47 papers between 2017 and 2024.

Collaborative distances:

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

2024

OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization.

Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Hongming Zhang, Tianqing Fang, Zhenzhong Lan, Dong Yu

CoRR, 2024

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph.

Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu

CoRR, 2024

DivScene: Benchmarking LVLMs for Object Navigation with Diverse Scenes and Objects.

Zhaowei Wang, Hongming Zhang, Tianqing Fang, Ye Tian, Yue Yang, Kaixin Ma, Xiaoman Pan, Yangqiu Song, Dong Yu

CoRR, 2024

Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks.

Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Meng Jiang, Dong Yu

CoRR, 2024

Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots.

Hongming Zhang, Xiaoman Pan, Hongwei Wang, Kaixin Ma, Wenhao Yu, Dong Yu

CoRR, 2024

DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?

Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu

CoRR, 2024

COLUMBUS: Evaluating COgnitive Lateral Understanding through Multiple-choice reBUSes.

Koen Kraaijveld, Yifan Jiang, Kaixin Ma, Filip Ilievski

CoRR, 2024

DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems.

Anni Zou, Wenhao Yu, Hongming Zhang, Kaixin Ma, Deng Cai, Zhuosheng Zhang, Hai Zhao, Dong Yu

CoRR, 2024

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning.

Yifan Jiang, Jiarui Zhang, Kexuan Sun, Zhivar Sourati, Kian Ahrabian, Kaixin Ma, Filip Ilievski, Jay Pujara

CoRR, 2024

SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense.

Yifan Jiang, Filip Ilievski, Kaixin Ma

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Dense X Retrieval: What Retrieval Granularity Should We Use?

Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu

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

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models.

Wenhao Yu, Hongming Zhang, Xiaoman Pan, Peixin Cao, Kaixin Ma, Jian Li, Hongwei Wang, Dong Yu

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

WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.

Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu

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

2023

Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural Models.

Filip Ilievski, Kaixin Ma, Alessandro Oltramari, Peifeng Wang, Jay Pujara

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models.

Wenhao Yu, Hongming Zhang, Xiaoman Pan, Kaixin Ma, Hongwei Wang, Dong Yu

CoRR, 2023

LASER: LLM Agent with State-Space Exploration for Web Navigation.

Kaixin Ma, Hongming Zhang, Hongwei Wang, Xiaoman Pan, Dong Yu

CoRR, 2023

Chain-of-Skills: A Configurable Model for Open-domain Question Answering.

Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao

CoRR, 2023

Generalizable Neuro-Symbolic Systems for Commonsense Question Answering.

Alessandro Oltramari, Jonathan Francis, Filip Ilievski, Kaixin Ma, Roshanak Mirzaee

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

A Study of Situational Reasoning for Traffic Understanding.

Jiarui Zhang, Filip Ilievski, Kaixin Ma, Aravinda Kollaa, Jonathan Francis, Alessandro Oltramari

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

Knowledge-enhanced Agents for Interactive Text Games.

Prateek Chhikara, Jiarui Zhang, Filip Ilievski, Jonathan Francis, Kaixin Ma

Proceedings of the 12th Knowledge Capture Conference 2023, 2023

BRAINTEASER: Lateral Thinking Puzzles for Large Language Models.

Yifan Jiang, Filip Ilievski, Kaixin Ma, Zhivar Sourati

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

Transferring Procedural Knowledge Across Commonsense Tasks.

Yifan Jiang, Filip Ilievski, Kaixin Ma

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Chain-of-Skills: A Configurable Model for Open-Domain Question Answering.

Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Utilizing Background Knowledge for Robust Reasoning over Traffic Situations.

Jiarui Zhang, Filip Ilievski, Aravinda Kollaa, Jonathan Francis, Kaixin Ma, Alessandro Oltramari

CoRR, 2022

An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs.

Jiarui Zhang, Filip Ilievski, Kaixin Ma, Jonathan Francis, Alessandro Oltramari

CoRR, 2022

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge.

Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Coalescing Global and Local Information for Procedural Text Understanding.

Kaixin Ma, Filip Ilievski, Jonathan Francis, Eric Nyberg, Alessandro Oltramari

Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Study of Zero-shot Adaptation with Commonsense Knowledge.

Jiarui Zhang, Filip Ilievski, Kaixin Ma, Jonathan Francis, Alessandro Oltramari

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

Open Domain Question Answering with A Unified Knowledge Interface.

Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Generalizable Neuro-Symbolic Systems for Commonsense Question Answering.

Alessandro Oltramari, Jonathan Francis, Filip Ilievski, Kaixin Ma, Roshanak Mirzaee

Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

Dimensions of commonsense knowledge.

Filip Ilievski, Alessandro Oltramari, Kaixin Ma, Bin Zhang, Deborah L. McGuinness, Pedro A. Szekely

Knowl. Based Syst., 2021

Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text.

Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao

CoRR, 2021

PTWA: Pre-Training with Word Attention for Chinese Named Entity Recognition.

Kaixin Ma, Meiling Liu, Tiejun Zhao, Jiyun Zhou, Yang Yu

Proceedings of the International Joint Conference on Neural Networks, 2021

Audio-Visual Event Recognition Through the Lens of Adversary.

Juncheng B. Li, Kaixin Ma, Shuhui Qu, Po-Yao Huang, Florian Metze

Proceedings of the IEEE International Conference on Acoustics, 2021

Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models.

Kaixin Ma, Filip Ilievski, Jonathan Francis, Satoru Ozaki, Eric Nyberg, Alessandro Oltramari

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Building Goal-oriented Document-grounded Dialogue Systems.

Xi Chen, Faner Lin, Yeju Zhou, Kaixin Ma, Jonathan Francis, Eric Nyberg, Alessandro Oltramari

Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021

Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering.

Kaixin Ma, Filip Ilievski, Jonathan Francis, Yonatan Bisk, Eric Nyberg, Alessandro Oltramari

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Neuro-Symbolic Architectures for Context Understanding.

Alessandro Oltramari, Jonathan Francis, Cory A. Henson, Kaixin Ma, Ruwan Wickramarachchi

Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020

Quantum witness of a damped and driven qubit by sequential intermediate measurements with uniform and nonuniform time intervals.

Longyan Gong, Kaixin Ma, Xiaoxin Zhao, Wei-Wen Cheng, Shengmei Zhao

Quantum Inf. Process., 2020

Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection.

Yikang Li, Pulkit Goel, Varsha Kuppur Rajendra, Har Simrat Singh, Jonathan Francis, Kaixin Ma, Eric Nyberg, Alessandro Oltramari

CoRR, 2020

Knowledge-driven Self-supervision for Zero-shot Commonsense Question Answering.

Kaixin Ma, Filip Ilievski, Jonathan Francis, Yonatan Bisk, Eric Nyberg, Alessandro Oltramari

CoRR, 2020

Neuro-symbolic Architectures for Context Understanding.

Alessandro Oltramari, Jonathan Francis, Cory A. Henson, Kaixin Ma, Ruwan Wickramarachchi

CoRR, 2020

2019

Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering.

Kaixin Ma, Jonathan Francis, Quanyang Lu, Eric Nyberg, Alessandro Oltramari

CoRR, 2019

ElderReact: A Multimodal Dataset for Recognizing Emotional Response in Aging Adults.

Kaixin Ma, Xinyu Wang, Xinru Yang, Mingtong Zhang, Jeffrey M. Girard, Louis-Philippe Morency

Proceedings of the International Conference on Multimodal Interaction, 2019

Bend but Don't Break? Multi-Challenge Stress Test for QA Models.

Hemant Pugaliya, James Route, Kaixin Ma, Yixuan Geng, Eric Nyberg

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog.

Kaixin Ma, Tomasz Jurczyk, Jinho D. Choi

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Text-based Speaker Identification on Multiparty Dialogues Using Multi-document Convolutional Neural Networks.

Kaixin Ma, Catherine Xiao, Jinho D. Choi

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017