Alert button
Picture for Man Luo

Man Luo

Alert button

VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models

Feb 21, 2024
Jiawei Liang, Siyuan Liang, Man Luo, Aishan Liu, Dongchen Han, Ee-Chien Chang, Xiaochun Cao

Viaarxiv icon

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

Jan 23, 2024
Man Luo, Xin Xu, Yue Liu, Panupong Pasupat, Mehran Kazemi

Viaarxiv icon

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

Oct 02, 2023
Man Luo, Shrinidhi Kumbhar, Ming shen, Mihir Parmar, Neeraj Varshney, Pratyay Banerjee, Somak Aditya, Chitta Baral

Figure 1 for Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
Figure 2 for Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
Figure 3 for Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
Figure 4 for Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
Viaarxiv icon

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

Aug 16, 2023
Srija Macherla, Man Luo, Mihir Parmar, Chitta Baral

Figure 1 for MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation
Figure 2 for MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation
Figure 3 for MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation
Figure 4 for MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation
Viaarxiv icon

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

Jun 01, 2023
Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral

Figure 1 for End-to-end Knowledge Retrieval with Multi-modal Queries
Figure 2 for End-to-end Knowledge Retrieval with Multi-modal Queries
Figure 3 for End-to-end Knowledge Retrieval with Multi-modal Queries
Figure 4 for End-to-end Knowledge Retrieval with Multi-modal Queries
Viaarxiv icon

Dr.ICL: Demonstration-Retrieved In-context Learning

May 23, 2023
Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y Zhao

Figure 1 for Dr.ICL: Demonstration-Retrieved In-context Learning
Figure 2 for Dr.ICL: Demonstration-Retrieved In-context Learning
Figure 3 for Dr.ICL: Demonstration-Retrieved In-context Learning
Figure 4 for Dr.ICL: Demonstration-Retrieved In-context Learning
Viaarxiv icon

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

May 20, 2023
Neeraj Varshney, Mihir Parmar, Nisarg Patel, Divij Handa, Sayantan Sarkar, Man Luo, Chitta Baral

Figure 1 for Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Figure 2 for Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Figure 3 for Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Figure 4 for Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Viaarxiv icon

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

Nov 23, 2022
Neeraj Varshney, Man Luo, Chitta Baral

Figure 1 for Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?
Figure 2 for Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?
Figure 3 for Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?
Figure 4 for Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?
Viaarxiv icon

Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach

Nov 11, 2022
Man Luo, Bowen Du, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Mark Birkin, Hongkai Wen

Figure 1 for Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
Figure 2 for Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
Figure 3 for Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
Figure 4 for Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
Viaarxiv icon

A Study on the Efficiency and Generalization of Light Hybrid Retrievers

Oct 04, 2022
Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari

Figure 1 for A Study on the Efficiency and Generalization of Light Hybrid Retrievers
Figure 2 for A Study on the Efficiency and Generalization of Light Hybrid Retrievers
Figure 3 for A Study on the Efficiency and Generalization of Light Hybrid Retrievers
Figure 4 for A Study on the Efficiency and Generalization of Light Hybrid Retrievers
Viaarxiv icon