Publications

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies [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
preprint.

Verbosity ≠ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models [PDF]
Yusen Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang
preprint.

VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information [PDF]
Ryo Kamoi, Yusen Zhang, Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Rui Zhang
preprint.

GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers [PDF]
Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Rui Zhang
ICLR 2025.

Evaluating LLMs at Detecting Errors in LLM Responses [PDF]
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
COLM 2024.

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

Hermes: Unlocking Security Analysis of Cellular Network Protocols by Synthesizing Finite State Machines from Natural Language Specifications [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
USENIX Security 2024.

Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning [PDF]
Sarkar Snigdha Sarathi Das, Haoran Ranran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang
EMNLP 2023.

CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning [PDF]
Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang
ACL 2022.

BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data [PDF]
Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman, Md. Saiful Islam, Atif Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali
UbiComp 2022 (IMWUT Article 8, Vol. 6, March 2022).

A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations [PDF]
Md. Ashraful Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali
Neurocomputing 2022.

Boosting House Price Predictions using Geo-Spatial Network Embedding [PDF]
Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis
Data Mining and Knowledge Discovery 2021.

CCCNet: An Attention Based Deep Learning Framework for Categorized Counting of Crowd in Different Body States [PDF]
Sarkar Snigdha Sarathi Das, Syed Md Mukit Rashid, Mohammed Eunus Ali
International Joint Conference on Neural Networks (IJCNN), IEEE 2020.