Raquib Bin Yousuf

15 papers A* 1B 2C 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Optimizing Product Provenance Verification Using Data Valuation Methods. AAAI Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck, Jakub Truszkowski, John Simeone, Jade Saunders, Chang-Tien Lu, Ruoxi Jia, Naren Ramakrishnan
2026	—	`conf`	Utilizing Metadata for Better Retrieval-Augmented Generation. ECIR (1) Raquib Bin Yousuf, Shengzhe Xu, Mandar Sharma, Andrew Neeser, Chris Latimer, Naren Ramakrishnan
2026	J	`jnl`	Utilizing Metadata for Better Retrieval-Augmented Generation. CoRR Raquib Bin Yousuf, Shengzhe Xu, Mandar Sharma, Andrew Neeser, Chris Latimer, Naren Ramakrishnan
2025	—	`conf`	Can an LLM Induce a Graph? Investigating Memory Drift and Context Length. ICKG Raquib Bin Yousuf, Aadyant Khatri, Shengzhe Xu, Mandar Sharma, Naren Ramakrishnan
2025	J	`jnl`	Can an LLM Induce a Graph? Investigating Memory Drift and Context Length. CoRR Raquib Bin Yousuf, Aadyant Khatri, Shengzhe Xu, Mandar Sharma, Naren Ramakrishnan
2025	—	`conf`	Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation. KDD (2) Shailik Sarkar, Raquib Bin Yousuf, Linhan Wang, Brian Mayer, Thomas Mortier, Victor Deklerck, Jakub Truszkowski, John Simeone, Marigold Norman, Jade Saunders, Chang-Tien Lu, Naren Ramakrishnan
2025	J	`jnl`	Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation. CoRR Shailik Sarkar, Raquib Bin Yousuf, Linhan Wang, Brian Mayer, Thomas Mortier, Victor Deklerck, Jakub Truszkowski, John Simeone, Marigold Norman, Jade Saunders, Chang-Tien Lu, Naren Ramakrishnan
2025	J	`jnl`	Optimizing Product Provenance Verification using Data Valuation Methods. CoRR Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck, Jakub Truszkowski, John Simeone, Jade Saunders, Chang-Tien Lu, Ruoxi Jia, Naren Ramakrishnan
2024	J	`jnl`	Are LLMs Naturally Good at Synthetic Tabular Data Generation? CoRR Shengzhe Xu, Cho-Ting Lee, Mandar Sharma, Raquib Bin Yousuf, Nikhil Muralidhar, Naren Ramakrishnan
2024	B	`conf`	Forecasting Migration Patterns and Land Border Encounters. IEEE Big Data Raquib Bin Yousuf, Shengzhe Xu, Patrick Butler, Brian Mayer, Nathan Self, David Mares, Naren Ramakrishnan
2024	J	`jnl`	Information Guided Regularization for Fine-tuning Language Models. CoRR Mandar Sharma, Nikhil Muralidhar, Shengzhe Xu, Raquib Bin Yousuf, Naren Ramakrishnan
2024	B	`conf`	LLM Augmentations to support Analytical Reasoning over Multiple Documents. IEEE Big Data Raquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, Shengzhe Xu, Naren Ramakrishnan
2024	J	`jnl`	LLM Augmentations to support Analytical Reasoning over Multiple Documents. CoRR Raquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, Shengzhe Xu, Naren Ramakrishnan
2022	J	`jnl`	Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions. CoRR Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal, James Dunham, Rebecca Gelles, Sathappan Muthiah, Nathan Self, Patrick Butler, Naren Ramakrishnan
2018	C	`conf`	Mining Developer Questions about Major Web Frameworks. WEBIST Zakaria Mehrab, Raquib Bin Yousuf, Ibrahim Asadullah Tahmid, Rifat Shahriyar