Strong equivalence for LPMLN programs. - Man Luo 003 (CoRR, 2019)

Strong Equivalence for LPMLN Programs. - Joohyung Lee; Man Luo 003 (ICLP Technical Communications, 2019)

Can Transformers Reason About Effects of Actions? - Pratyay Banerjee; Chitta Baral; Man Luo 003; Arindam Mitra; Kuntal Kumar Pal; Tran Cao Son; Neeraj Varshney (CoRR, 2020)

'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 003; Shailaja Keyur Sampat; Riley Tallman; Yankai Zeng; Manuha Vancha; Akarshan Sajja; Chitta Baral (EACL, 2021)

Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. - Man Luo 003; Yankai Zeng; Pratyay Banerjee; Chitta Baral (EMNLP (1), 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 003; Shailaja Keyur Sampat; Riley Tallman; Yankai Zeng; Manuha Vancha; Akarshan Sajja; Chitta Baral (CoRR, 2021)

Improving Biomedical Information Retrieval with Neural Retrievers. - Man Luo 003; Arindam Mitra; Tejas Gokhale; Chitta Baral (AAAI, 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 003; Bhavdeep Singh Sachdeva; Chitta Baral (ACL (Findings), 2022)

BioTABQA: Instruction Learning for Biomedical Table Question Answering. - Man Luo 003; Sharad Saxena; Swaroop Mishra; Mihir Parmar; Chitta Baral (CLEF (Working Notes), 2022)

Neural Retriever and Go Beyond: A Thesis Proposal. - Man Luo 003 (NAACL-HLT (Student Research Workshop), 2022)

A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context. - Man Luo 003; Shuguang Chen; Chitta Baral (NAACL-HLT (Student Research Workshop), 2022)

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. - Mihir Parmar; Swaroop Mishra; Mirali Purohit; Man Luo 003; Murad Mohammad; Chitta Baral (NAACL-HLT (Findings), 2022)

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering. - Man Luo 003; 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 003; M. Hassan Murad; Chitta Baral (CoRR, 2022)

Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans? - Neeraj Varshney; Man Luo 003; Chitta Baral (CoRR, 2022)

End-to-end Knowledge Retrieval with Multi-modal Queries. - Man Luo 003; Zhiyuan Fang; Tejas Gokhale; Yezhou Yang; Chitta Baral (ACL (1), 2023)

A Study on the Efficiency and Generalization of Light Hybrid Retrievers. - Man Luo 003; Shashank Jain; Anchit Gupta; Arash Einolghozati; Barlas Oguz; Debojeet Chatterjee; Xilun Chen 002; Chitta Baral; Peyman Heidari (ACL (2), 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 003; Chitta Baral (CoRR, 2023)

MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation. - Srija Macherla; Man Luo 003; Mihir Parmar; Chitta Baral (CoRR, 2023)

Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models. - Man Luo 003; Shrinidhi Kumbhar; Ming Shen; Mihir Parmar; Neeraj Varshney; Pratyay Banerjee; Somak Aditya; Chitta Baral (CoRR, 2023)

LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. - Mihir Parmar; Nisarg Patel; Neeraj Varshney; Mutsumi Nakamura; Man Luo 003; Santosh Mashetty; Arindam Mitra; Chitta Baral (ACL (1), 2024)

Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. - Mihir Parmar; Nisarg Patel; Neeraj Varshney; Mutsumi Nakamura; Man Luo 003; Santosh Mashetty; Arindam Mitra; Chitta Baral (CoRR, 2024)

Dr.ICL: Demonstration-Retrieved In-context Learning. - Man Luo 003; Xin Xu; Zhuyun Dai; Panupong Pasupat; Mehran Kazemi; Chitta Baral; Vaiva Imbrasaite; Vincent Y. Zhao (Data Intell., 2024)

In-context Learning with Retrieved Demonstrations for Language Models: A Survey. - Man Luo 003; Xin Xu; Yue Liu; Panupong Pasupat; Mehran Kazemi (Trans. Mach. Learn. Res., 2024)