Sarkar Snigdha Sarathi Das

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Named Entity Recognition

Network Protocols

Query Reformulation

Top Venues

Publications

Abdullah Al Ishtiaq, Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Ali Ranjbar, Kai Tu, Tianwei Wu, Zhezheng Song, Weixuan Wang, Mujtahid 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 Symposium (2024)
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. CoRR (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. ACL (Findings) (2024)
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. CoRR (2023)
Sarkar Snigdha Sarathi Das, Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning. EMNLP (2023)
Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning. CoRR (2023)
Abdullah Al Ishtiaq, Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Ali Ranjbar, Kai Tu, Tianwei Wu, Zhezheng Song, Weixuan Wang, Mujtahid Akon, Rui Zhang, Syed Rafiul Hussain
Hermes: Unlocking Security Analysis of Cellular Network Protocols by Synthesizing Finite State Machines from Natural Language Specifications. CoRR (2023)
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. CoRR (2023)
Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning. ACL (1) (2022)
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 472 (2022)
Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman, Md. Saiful Islam, Atif Hasan Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali
BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (1) (2022)
Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning. CoRR (2021)
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 Min. Knowl. Discov. 35 (6) (2021)
Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Mohammed Eunus Ali
CCCNet: An Attention Based Deep Learning Framework for Categorized Counting of Crowd in Different Body States. IJCNN (2020)
Md. Ashraful Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali
A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations. CoRR (2020)
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. CoRR (2020)
Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis
Boosting House Price Predictions using Geo-Spatial Network Embedding. CoRR (2020)
Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Mohammed Eunus Ali
CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting. CoRR (2019)