Man Luo

According to our database, Man Luo authored at least 24 papers between 2019 and 2024.

Collaborative distances:

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

2024

Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models.

Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral

CoRR, 2024

In-context Learning with Retrieved Demonstrations for Language Models: A Survey.

Man Luo, Xin Xu, Yue Liu, Panupong Pasupat, Mehran Kazemi

CoRR, 2024

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models.

Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral

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

2023

Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models.

Man Luo, Shrinidhi Kumbhar, Ming Shen, Mihir Parmar, Neeraj Varshney, Pratyay Banerjee, Somak Aditya, Chitta Baral

CoRR, 2023

MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation.

Srija Macherla, Man Luo, Mihir Parmar, Chitta Baral

CoRR, 2023

Dr.ICL: Demonstration-Retrieved In-context Learning.

Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Seyed Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y. Zhao

CoRR, 2023

Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?

Neeraj Varshney, Mihir Parmar, Nisarg Patel, Divij Handa, Sayantan Sarkar, Man Luo, Chitta Baral

CoRR, 2023

A Study on the Efficiency and Generalization of Light Hybrid Retrievers.

Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

End-to-end Knowledge Retrieval with Multi-modal Queries.

Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral

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

2022

Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?

Neeraj Varshney, Man Luo, Chitta Baral

CoRR, 2022

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning.

Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, M. Hassan Murad, Chitta Baral

CoRR, 2022

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering.

Man Luo, Kazuma Hashimoto, Semih Yavuz, Zhiwei Liu, Chitta Baral, Yingbo Zhou

CoRR, 2022

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning.

Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, Murad Mohammad, Chitta Baral

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

A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context.

Man Luo, Shuguang Chen, Chitta Baral

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022

Neural Retriever and Go Beyond: A Thesis Proposal.

Man Luo

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022

BioTABQA: Instruction Learning for Biomedical Table Question Answering.

Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness.

Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral

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

Improving Biomedical Information Retrieval with Neural Retrievers.

Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks.

Man Luo, Shailaja Keyur Sampat, Riley Tallman, Yankai Zeng, Manuha Vancha, Akarshan Sajja, Chitta Baral

CoRR, 2021

Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering.

Man Luo, Yankai Zeng, Pratyay Banerjee, Chitta Baral

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

'Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks.

Man Luo, Shailaja Keyur Sampat, Riley Tallman, Yankai Zeng, Manuha Vancha, Akarshan Sajja, Chitta Baral

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Can Transformers Reason About Effects of Actions?

Pratyay Banerjee, Chitta Baral, Man Luo, Arindam Mitra, Kuntal Kumar Pal, Tran Cao Son, Neeraj Varshney

CoRR, 2020

2019

Strong Equivalence for LPMLN Programs.

Joohyung Lee, Man Luo

Proceedings of the Proceedings 35th International Conference on Logic Programming (Technical Communications), 2019

Strong equivalence for LP^MLN programs.

Man Luo

CoRR, 2019