Text-based Speaker Identification on Multiparty Dialogues Using Multi-document Convolutional Neural Networks. - Kaixin Ma; Catherine Xiao; Jinho D. Choi (ACL (Student Research Workshop), 2017)

Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog. - Kaixin Ma; Tomasz Jurczyk; Jinho D. Choi (NAACL-HLT, 2018)

Bend but Don't Break? Multi-Challenge Stress Test for QA Models. - Hemant Pugaliya; James Route; Kaixin Ma; Yixuan Geng; Eric Nyberg (MRQA@EMNLP, 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 (ICMI, 2019)

Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering. - Kaixin Ma; Jonathan Francis; Quanyang Lu; Eric Nyberg; Alessandro Oltramari (CoRR, 2019)

Neuro-symbolic Architectures for Context Understanding. - Alessandro Oltramari; Jonathan Francis; Cory A. Henson; Kaixin Ma; Ruwan Wickramarachchi (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)

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)

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)

Neuro-Symbolic Architectures for Context Understanding. - Alessandro Oltramari; Jonathan Francis; Cory A. Henson; Kaixin Ma; Ruwan Wickramarachchi (Knowledge Graphs for eXplainable Artificial Intelligence, 2020)

Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering. - Kaixin Ma; Filip Ilievski; Jonathan Francis; Yonatan Bisk; Eric Nyberg; Alessandro Oltramari (AAAI, 2021)

Building Goal-oriented Document-grounded Dialogue Systems. - Xi Chen; Faner Lin; Yeju Zhou; Kaixin Ma; Jonathan Francis; Eric Nyberg; Alessandro Oltramari (DialDoc@ACL-IJCNLP, 2021)

Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models. - Kaixin Ma; Filip Ilievski; Jonathan Francis; Satoru Ozaki; Eric Nyberg; Alessandro Oltramari (EMNLP (1), 2021)

Audio-Visual Event Recognition Through the Lens of Adversary. - Juncheng B. Li; Kaixin Ma; Shuhui Qu; Po-Yao Huang 001; Florian Metze (ICASSP, 2021)

PTWA: Pre-Training with Word Attention for Chinese Named Entity Recognition. - Kaixin Ma; Meiling Liu; Tiejun Zhao; Jiyun Zhou; Yang Yu (IJCNN, 2021)

Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text. - Kaixin Ma; Hao Cheng 002; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (CoRR, 2021)

Dimensions of commonsense knowledge. - Filip Ilievski; Alessandro Oltramari; Kaixin Ma; Bin Zhang; Deborah L. McGuinness; Pedro A. Szekely (Knowl. Based Syst., 2021)

Generalizable Neuro-Symbolic Systems for Commonsense Question Answering. - Alessandro Oltramari; Jonathan Francis; Filip Ilievski; Kaixin Ma; Roshanak Mirzaee (Neuro-Symbolic Artificial Intelligence, 2021)

Open Domain Question Answering with A Unified Knowledge Interface. - Kaixin Ma; Hao Cheng 002; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (ACL (1), 2022)

A Study of Zero-shot Adaptation with Commonsense Knowledge. - Jiarui Zhang 002; Filip Ilievski; Kaixin Ma; Jonathan Francis; Alessandro Oltramari (AKBC, 2022)

Coalescing Global and Local Information for Procedural Text Understanding. - Kaixin Ma; Filip Ilievski; Jonathan Francis; Eric Nyberg; Alessandro Oltramari (COLING, 2022)

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. - Kaixin Ma; Hao Cheng 002; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (EMNLP (Findings), 2022)

An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs. - Jiarui Zhang 002; Filip Ilievski; Kaixin Ma; Jonathan Francis; Alessandro Oltramari (CoRR, 2022)

Utilizing Background Knowledge for Robust Reasoning over Traffic Situations. - Jiarui Zhang 002; Filip Ilievski; Aravinda Kollaa; Jonathan Francis; Kaixin Ma; Alessandro Oltramari (CoRR, 2022)

Chain-of-Skills: A Configurable Model for Open-Domain Question Answering. - Kaixin Ma; Hao Cheng 002; Yu Zhang 044; Xiaodong Liu 002; Eric Nyberg; Jianfeng Gao 001 (ACL (1), 2023)

Transferring Procedural Knowledge Across Commonsense Tasks. - Yifan Jiang 001; Filip Ilievski; Kaixin Ma (ECAI, 2023)

BRAINTEASER: Lateral Thinking Puzzles for Large Language Models. - Yifan Jiang 001; Filip Ilievski; Kaixin Ma; Zhivar Sourati (EMNLP, 2023)

Knowledge-enhanced Agents for Interactive Text Games. - Prateek Chhikara; Jiarui Zhang 002; Filip Ilievski; Jonathan Francis; Kaixin Ma (K-CAP, 2023)

A Study of Situational Reasoning for Traffic Understanding. - Jiarui Zhang 002; Filip Ilievski; Kaixin Ma; Aravinda Kollaa; Jonathan Francis; Alessandro Oltramari (KDD, 2023)

Generalizable Neuro-Symbolic Systems for Commonsense Question Answering. - Alessandro Oltramari; Jonathan Francis; Filip Ilievski; Kaixin Ma; Roshanak Mirzaee (NeSy, 2023)

Chain-of-Skills: A Configurable Model for Open-domain Question Answering. - Kaixin Ma; Hao Cheng 002; Yu Zhang 044; Xiaodong Liu 003; Eric Nyberg; Jianfeng Gao 001 (CoRR, 2023)

LASER: LLM Agent with State-Space Exploration for Web Navigation. - Kaixin Ma; Hongming Zhang 009; Hongwei Wang 010; Xiaoman Pan; Dong Yu 001 (CoRR, 2023)

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models. - Wenhao Yu 002; Hongming Zhang 009; Xiaoman Pan; Kaixin Ma; Hongwei Wang 010; Dong Yu 001 (CoRR, 2023)

Hybrid Knowledge Architectures for Question Answering - Kaixin Ma (2023)

Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural Models. - Filip Ilievski; Kaixin Ma; Alessandro Oltramari; Peifeng Wang; Jay Pujara (Compendium of Neurosymbolic Artificial Intelligence, 2023)

WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models. - Hongliang He; Wenlin Yao; Kaixin Ma; Wenhao Yu 002; Yong Dai 001; Hongming Zhang 009; Zhenzhong Lan; Dong Yu 001 (ACL (1), 2024)

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models. - Wenhao Yu 002; Hongming Zhang 009; Xiaoman Pan; Peixin Cao; Kaixin Ma; Jian Li; Hongwei Wang 001; Dong Yu 001 (EMNLP, 2024)

Dense X Retrieval: What Retrieval Granularity Should We Use? - Tong Chen; Hongwei Wang 010; Sihao Chen; Wenhao Yu 002; Kaixin Ma; Xinran Zhao; Hongming Zhang 009; Dong Yu 001 (EMNLP, 2024)

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning. - Yifan Jiang 001; Jiarui Zhang 002; Kexuan Sun 002; Zhivar Sourati; Kian Ahrabian; Kaixin Ma; Filip Ilievski; Jay Pujara (NeurIPS, 2024)

SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense. - Yifan Jiang 001; Filip Ilievski; Kaixin Ma (SemEval@NAACL, 2024)

DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems. - Anni Zou; Wenhao Yu 002; Hongming Zhang 009; Kaixin Ma; Deng Cai 002; Zhuosheng Zhang 001; Hai Zhao 001; Dong Yu 001 (CoRR, 2024)

DSBench: How Far Are Data Science Agents to Becoming Data Science Experts? - Liqiang Jing; Zhehui Huang; Xiaoyang Wang; Wenlin Yao; Wenhao Yu 002; Kaixin Ma; Hongming Zhang 009; Xinya Du; Dong Yu 001 (CoRR, 2024)

Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots. - Hongming Zhang 009; Xiaoman Pan; Hongwei Wang 010; Kaixin Ma; Wenhao Yu 002; Dong Yu 001 (CoRR, 2024)

DivScene: Benchmarking LVLMs for Object Navigation with Diverse Scenes and Objects. - Zhaowei Wang 003; Hongming Zhang 009; Tianqing Fang; Ye Tian; Yue Yang; Kaixin Ma; Xiaoman Pan; Yangqiu Song; Dong Yu 001 (CoRR, 2024)

COLUMBUS: Evaluating COgnitive Lateral Understanding Through Multiple-Choice reBUSes. - Koen Kraaijveld; Yifan Jiang 001; Kaixin Ma; Filip Ilievski (AAAI, 2025)

OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization. - Hongliang He; Wenlin Yao; Kaixin Ma; Wenhao Yu 002; Hongming Zhang 009; Tianqing Fang; Zhenzhong Lan; Dong Yu 001 (ACL (1), 2025)

DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? - Liqiang Jing; Zhehui Huang; Xiaoyang Wang; Wenlin Yao; Wenhao Yu 002; Kaixin Ma; Hongming Zhang 009; Xinya Du; Dong Yu 001 (ICLR, 2025)

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph. - Siru Ouyang; Wenhao Yu 002; Kaixin Ma; Zilin Xiao; Zhihan Zhang 001; Mengzhao Jia; Jiawei Han 001; Hongming Zhang 009; Dong Yu 001 (ICLR, 2025)

Leopard: A Vision Language Model for Text-Rich Multi- Image Tasks. - Mengzhao Jia; Wenhao Yu 002; Kaixin Ma; Tianqing Fang; Zhihan Zhang 001; Siru Ouyang; Hongming Zhang 009; Dong Yu 001; Meng Jiang 001 (Trans. Mach. Learn. Res., 2025)

Enhancing Web Agents with Explicit Rollback Mechanisms. - Zhisong Zhang; Tianqing Fang; Kaixin Ma; Wenhao Yu 002; Hongming Zhang 009; Haitao Mi; Dong Yu 001 (CoRR, 2025)

WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model. - Tianqing Fang; Hongming Zhang 009; Zhisong Zhang; Kaixin Ma; Wenhao Yu 002; Haitao Mi; Dong Yu 001 (CoRR, 2025)

VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models. - Ce Zhang 009; Kaixin Ma; Tianqing Fang; Wenhao Yu 002; Hongming Zhang 009; Zhisong Zhang; Yaqi Xie 001; Katia P. Sycara; Haitao Mi; Dong Yu 001 (CoRR, 2025)