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ORCIDSarkar Snigdha Sarathi Das
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2020 – today
- 2024
[c5]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: 14996-15014- [c4]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 - [i13]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 abs/2404.03602 (2024) - [i12]Yusen Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang:
Verbosity ≠ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models. CoRR abs/2411.07858 (2024) - [i11]Ryo Kamoi, Yusen Zhang, Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Rui Zhang:
VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information. CoRR abs/2412.00947 (2024) - [i10]Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang:
GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers. CoRR abs/2412.09722 (2024) - 2023
- [c3]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: 6998-7010 - [i9]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 abs/2309.08827 (2023) - [i8]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 abs/2309.13063 (2023) - [i7]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 abs/2310.04381 (2023) - [i6]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 abs/2311.03748 (2023) - 2022
- [j3]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: 306-325 (2022) - [j2]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): 8:1-8:21 (2022) - [c2]Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang:
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning. ACL (1) 2022: 6338-6353 - 2021
- [j1]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): 2221-2250 (2021) - [i5]Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang:
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning. CoRR abs/2109.07589 (2021) - 2020
- [c1]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: 1-8 - [i4]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 abs/2009.00254 (2020) - [i3]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 abs/2011.00753 (2020) - [i2]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 abs/2011.10187 (2020)
2010 – 2019
- 2019
- [i1]Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Mohammed Eunus Ali:
CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting. CoRR abs/1912.05765 (2019)
Coauthor Index
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