I am a fourth-year Ph.D. student and a Graduate Research Assistant at the Department of CSE, at Pennsylvania State University, under the supervision of Dr. Rui Zhang (co advised by Dr. Rebecca J. Passonneau). My research interest lies in Natural Language Processing, Machine Learning, Computer Vision, and Data Mining.
Working as a graduate research assistant in Pennsylvania State University. Currently working on multiple NLP projects e.g. Few-Shot Sequence Labeling, Named Entity Recognition, Relation Extraction, coreference resolution, etc.
Worked on "Structured Open-Domain Dialogue Segmentation and State Tracking with LLMs (GPT-4)."
Worked on different Neural Ranking techniques to research their efficacy in search and recommendation.
Worked as a graduate research assistant under the supervision of Dr. Mohammed Eunus Ali in CSE, BUET. Multiple research projects are funded by the government of Bangladesh.
Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, Jihyun Janice Ahn, Yilun Zhao, Xiaoxin Lu, Nan Zhang, Yusen Zhang, Ranran Haoran Zhang, Sujeeth Reddy Vummanthala, Salika Dave, Shaobo Qin, Arman Cohan, Wenpeng Yin, Rui Zhang. Evaluating LLMs at Detecting Errors in LLM Responses. COLM 2024.
Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi. S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. (Findings of ACL 2024) [pdf]
Sarkar Snigdha Sarathi Das, Haoran Ranran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang. Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning. EMNLP 2023 [pdf]
Abdullah Al Ishtiaq, Sarkar Snigdha Sarathi Das, Syed Md Mukit Rashid, Ali Ranjbar, Kai Tu, Tianwei Wu, Zhezheng Song, Weixuan Wang, Mujtahid Al-Islam Akon, Rui Zhang, Syed Rafiul Hussain. Hermes: Unlocking Security Analysis of Cellular Network Protocols by Synthesizing Finite State Machines from Natural Language Specifications. USENIX Security 2024. [pdf]
Chirag Shah, Ryen W White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Leijie Wang, Longqi Yang. Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. [Link]
Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang. CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning. ACL 2022. [pdf] [code]
Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman, Md. Saiful Islam, Atif Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali. BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data. IMWUT (UbiComp) 2022 [pdf] [code]
Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis. Boosting House Price Predictions using Geo-Spatial Network Embedding. Data Mining and Knowledge Discovery (2021)
Md. Ashraful Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali. A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations. Neurocomputing (2022)
Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Mohammed Eunus Ali. CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting. 2020 IEEE International Joint Conference on Neural Networks (IJCNN)
CGPA: 3.88/4.00