Sarkar Snigdha Sarathi Das

According to our database, Sarkar Snigdha Sarathi Das authored at least 23 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Nexus : An Agentic Framework for Time Series Forecasting.

Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Nanyun Peng, Vishy Tirumalashetty, Chun-Liang Li, Rui Zhang, Jinsung Yoon, Tomas Pfister

CoRR, May, 2026

Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning.

Jihyun Janice Ahn, Ryo Kamoi, Berk Atil, Renze Lou, WonWoo Kang, Heehyun Park, Sarkar Snigdha Sarathi Das, Zhuoyang Zou, Xiaoxin Lu, Yusen Zhang, Asfahan Shah, Ridwanul Hasan Tanvir, Lingxiao Zhao, Hongxi Huang, Vignesh Venkatesh, Dianjun Lin, Hamid Shah, Wentao Wang, Zhanpeng Song, Joshua Reed Bassin, Dax Patel, Ishan Appareddy Agrahar, Sahil Pardasani, Xin Dong, Fatemeh Rahbari, Benjamin David Rishel, Soochan Andrew Lee, Yuv Boghani, Ali B. AlNaseeb, Pranav Suby, Seokhyeon Bae, Shreya Buddharaju, Damien Kula, Soumyadeep Das, Hanyang Frank Liu, Faye Mo, Wenpeng Yin

CoRR, March, 2026

Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models.

Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Yiwen Song, Long T. Le, Lesly Miculicich, Jinsung Yoon, Rui Zhang, Hamid Palangi, Tomas Pfister

Trans. Mach. Learn. Res., 2026

2025

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

Chirag Shah, Ryen White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Leijie Wang, Longqi Yang

ACM Trans. Web, August, 2025

Training Step-Level Reasoning Verifiers with Formal Verification Tools.

Ryo Kamoi, Yusen Zhang, Nan Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang

CoRR, May, 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, February, 2025

GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers.

Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HRScene: How Far are VLMs from Effective High-Resolution Image Understanding?

Yusen Zhang, Wenliang Zheng, Aashrith Madasu, Peng Shi, Ryo Kamoi, Hao Zhou, Zhuoyang Zou, Shu Zhao, Sarkar Snigdha Sarathi Das, Vipul Gupta, Xiaoxin Lu, Nan Zhang, Ranran Haoran Zhang, Avitej Iyer, Renze Lou, Wenpeng Yin, Rui Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

GreaterPrompt: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization.

Wenliang Zheng, Sarkar Snigdha Sarathi Das, Yusen Zhang, Rui Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

2024

VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information.

Ryo Kamoi, Yusen Zhang, Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Rui Zhang

CoRR, 2024

Verbosity ≠ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models.

Yusen Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang

CoRR, 2024

Evaluating LLMs at Detecting Errors in LLM Responses.

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

CoRR, 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, Syed Rafiul Hussain

Proceedings of the 33rd USENIX Security Symposium, 2024

S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs.

Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

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

CoRR, 2023

Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning.

Sarkar Snigdha Sarathi Das, Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data.

Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman, Md. Saiful Islam, Atif Hasan Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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

CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning.

Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

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

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, Atif Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali

CoRR, 2020

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting.

Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Mohammed Eunus Ali

CoRR, 2019