Hi, this is Kashob.
I’m 3rd year PhD student in Computer Science at University of Illinois Urbana-Champaign, working with Prof. Kevin C.C Chang. My research is focused on advancing the capabilities of large language models (LLMs) in the fields of Information Retrieval and Retrieval-Augmented Generation. My primary emphasis is on enhancing Knowledge and Reasoning within LLMs, which includes: i) Knowledge: Enhancing factuality and improving retrieval-augmentation methods; ii) Reasoning in multi-agent systems: Developing LLM-based multi-agent systems for complex reasoning task.
📢 News
- 2024.09: One paper accepted at EMNLP’24.
- 2024.05: One paper accepted at ACL’24.
- 2023.05: Got externship at IBM-Almaden Lab.
📝 Publications
✝︎ - equal contribution.
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2024
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EMNLP 24
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation, Kashob Kumar Roy, Pritom Saha Akash, Lucian Popa, Kevin Chen-Chuan Chang. -
ACL 24
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs, Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang, Yu Meng, Jiawei Han -
Preprint 23
Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach., Pritom Saha Akash, Kashob Kumar Roy, Lucian Popa, Kevin Chen-Chuan Chang. -
Inf. Sci. 22
Mining weighted sequential patterns in incremental uncertain databases, Kashob Kumar Roy, Md Hasibul Haque Moon, Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung. Information Sciences, 2022. -
IJCNN 21
Node embedding using mutual information and self-supervision based bi-level aggregation, Kashob Kumar Roy, Amit Roy, A. K. M. Mahbubur Rahman, M. Ashraful Amin, Amin Ahsan Ali -
IJCNN 21
Structure-aware hierarchical graph pooling using information bottleneck, Kashob Kumar Roy, Amit Roy, A. K. M. Mahbubur Rahman, M. Ashraful Amin, Amin Ahsan Ali -
IJCNN 21
Unified spatio-temporal modeling for traffic forecasting using graph neural network, Amit Roy✝︎, Kashob Kumar Roy✝︎, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman -
PAKDD 21
SST-GNN: Simplified Spatio-Temporal Traffic Forecasting Model Using Graph Neural Network, Amit Roy✝︎, Kashob Kumar Roy✝︎, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman -
PAKDD 21
Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure, Kashob Kumar Roy, Md Hasibul Haque Moon, Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung
📈 Experiences
- 2024.01 - Present, Graduate Teaching Assistant at CS, UIUC, IL, USA.
- 2023.05 - 2023.08, Extern at IBM Research - Almaden, CA, USA.
- 2022.08 - 2023.12, Graduate Research Assistant at CS, UIUC, IL, USA.
- 2021.11 - 2022.07, Faculty at Dept. of CSE, Ahsanullah University of Science and Technology, Bangladesh.
- 2020.02 - 2022.06, Research Associate at CCDS, Independent University Bangladesh, Bangladesh.
📖 Educations
- 2022.08 - Present, Phd in Computer Science at University of Illinois Urbana-Champaign, IL, USA.
- 2016.01 - 2020.01, BSc in Computer Science and Engineering at University of Dhaka, Bangladesh.
🎖 Honors and Awards
- 2019.10, Bangabandhu Innovation Grant, Student to Startup hosted by ICT Division, Bangladesh Government.
- 2019.09, Champion, Code Samurai Inter‑University Hackathon organized by University of Dhaka and BJIT.
- 2019.07, Champion, BRACathon Season 3.0 hosted by BRAC, an International Development Organisation.
📚 Misc
- Reviewer at: EMNLP’24, 23; ACL’23; KDD’23, 24; SIGIR’23, 24