CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting. - Sarkar Snigdha Sarathi Das; Syed Md. Mukit Rashid; Mohammed Eunus Ali (CoRR, 2019)

CCCNet: An Attention Based Deep Learning Framework for Categorized Counting of Crowd in Different Body States. - Sarkar Snigdha Sarathi Das; Syed Md. Mukit Rashid; Mohammed Eunus Ali (IJCNN, 2020)

BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data. - Sarkar Snigdha Sarathi Das; Subangkar Karmaker Shanto; Masum Rahman; Md. Saiful Islam 013; Atif Rahman 001; Mohammad Mehedy Masud; Mohammed Eunus Ali (CoRR, 2020)

Boosting house price predictions using geo-spatial network embedding. - Sarkar Snigdha Sarathi Das; Mohammed Eunus Ali; Yuan-Fang Li; Yong-Bin Kang; Timos Sellis (Data Min. Knowl. Discov., 2021)

CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning. - Sarkar Snigdha Sarathi Das; Arzoo Katiyar; Rebecca J. Passonneau; Rui Zhang 037 (ACL (1), 2022)

A survey on deep learning based Point-of-Interest (POI) recommendations. - Md. Ashraful Islam; Mir Mahathir Mohammad; Sarkar Snigdha Sarathi Das; Mohammed Eunus Ali (Neurocomputing, 2022)

BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data. - Sarkar Snigdha Sarathi Das; Subangkar Karmaker Shanto; Masum Rahman; Md. Saiful Islam 013; Atif Hasan Rahman 001; Mohammad Mehedy Masud; Mohammed Eunus Ali (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning. - Sarkar Snigdha Sarathi Das; Haoran Zhang 004; Peng Shi 010; Wenpeng Yin 001; Rui Zhang 037 (EMNLP, 2023)

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. - Chirag Shah 001; Ryen W. White; Reid Andersen; Georg Buscher; Scott Counts; Sarkar Snigdha Sarathi Das; Ali Montazer; Sathish Manivannan; Jennifer Neville; Xiaochuan Ni 001; Nagu Rangan; Tara Safavi; et al. (CoRR, 2023)

S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. - Sarkar Snigdha Sarathi Das; Chirag Shah 001; Mengting Wan; Jennifer Neville; Longqi Yang; Reid Andersen; Georg Buscher; Tara Safavi (ACL (Findings), 2024)

Hermes: Unlocking Security Analysis of Cellular Network Protocols by Synthesizing Finite State Machines from Natural Language Specifications. - 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 037; Syed Rafiul Hussain (USENIX Security Symposium, 2024)

Evaluating LLMs at Detecting Errors in LLM Responses. - Ryo Kamoi; Sarkar Snigdha Sarathi Das; Renze Lou; Jihyun Janice Ahn; Yilun Zhao 001; Xiaoxin Lu; Nan Zhang; Yusen Zhang 001; Ranran Haoran Zhang; Sujeeth Reddy Vummanthala; Salika Dave; Shaobo Qin; et al. (CoRR, 2024)

Verbosity ≠ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models. - Yusen Zhang 001; Sarkar Snigdha Sarathi Das; Rui Zhang 037 (CoRR, 2024)

VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information. - Ryo Kamoi; Yusen Zhang 001; Sarkar Snigdha Sarathi Das; Ranran Haoran Zhang; Rui Zhang 037 (CoRR, 2024)

GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers. - Sarkar Snigdha Sarathi Das; Ryo Kamoi; Bo Pang 004; Yusen Zhang 001; Caiming Xiong; Rui Zhang 037 (ICLR, 2025)

Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet. - Berk Atil; Vipul Gupta; Sarkar Snigdha Sarathi Das; Rebecca J. Passonneau (CoRR, 2025)

GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization. - Wenliang Zheng; Sarkar Snigdha Sarathi Das; Yusen Zhang; Rui Zhang (CoRR, 2025)

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding? - Yusen Zhang 001; Wenliang Zheng; Aashrith Madasu; Peng Shi 010; Ryo Kamoi; Hao Zhou; Zhuoyang Zou; Shu Zhao; Sarkar Snigdha Sarathi Das; Vipul Gupta; Xiaoxin Lu; Nan Zhang; et al. (CoRR, 2025)

Training Step-Level Reasoning Verifiers with Formal Verification Tools. - Ryo Kamoi; Yusen Zhang; Nan Zhang; Sarkar Snigdha Sarathi Das; Rui Zhang (CoRR, 2025)