Sarkar Snigdha Sarathi Das

31 papers A* 3B 1Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning. CoRR 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
2026	J	`jnl`	Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models. Trans. Mach. Learn. Res. Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Yiwen Song, Long T. Le, Lesly Miculicich, Jinsung Yoon, Rui Zhang, Hamid Palangi, Tomas Pfister
2025	J	`jnl`	Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet. CoRR Berk Atil, Vipul Gupta, Sarkar Snigdha Sarathi Das, Rebecca J. Passonneau
2025	J	`jnl`	GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization. CoRR Wenliang Zheng, Sarkar Snigdha Sarathi Das, Yusen Zhang, Rui Zhang
2025	A*	`conf`	GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers. ICLR Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang
2025	—	`conf`	GreaterPrompt: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization. ACL (3) Wenliang Zheng, Sarkar Snigdha Sarathi Das, Yusen Zhang, Rui Zhang
2025	J	`jnl`	HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding? CoRR 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
2025	J	`jnl`	Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models. CoRR Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Yiwen Song, Long T. Le, Lesly Miculicich, Jinsung Yoon, Rui Zhang, Hamid Palangi, Tomas Pfister
2025	J	`jnl`	Training Step-Level Reasoning Verifiers with Formal Verification Tools. CoRR Ryo Kamoi, Yusen Zhang, Nan Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang
2025	J	`jnl`	Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. ACM Trans. Web 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
2024	J	`jnl`	Evaluating LLMs at Detecting Errors in LLM Responses. CoRR 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
2024	J	`jnl`	GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers. CoRR Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang
2024	A*	`conf`	Hermes: Unlocking Security Analysis of Cellular Network Protocols by Synthesizing Finite State Machines from Natural Language Specifications. USENIX Security Symposium 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
2024	—	`conf`	S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. ACL (Findings) Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
2024	J	`jnl`	Verbosity ≠ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models. CoRR Yusen Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang
2024	J	`jnl`	VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information. CoRR Ryo Kamoi, Yusen Zhang, Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Rui Zhang
2023	J	`jnl`	Hermes: Unlocking Security Analysis of Cellular Network Protocols by Synthesizing Finite State Machines from Natural Language Specifications. CoRR 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
2023	J	`jnl`	S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. CoRR Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
2023	A*	`conf`	Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning. EMNLP Sarkar Snigdha Sarathi Das, Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang
2023	J	`jnl`	Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning. CoRR Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang
2023	J	`jnl`	Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. CoRR 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
2022	J	`jnl`	A survey on deep learning based Point-of-Interest (POI) recommendations. Neurocomputing Md. Ashraful Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali
2022	J	`jnl`	BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman, Md. Saiful Islam, Atif Hasan Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali
2022	—	`conf`	CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning. ACL (1) Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang
2021	J	`jnl`	Boosting house price predictions using geo-spatial network embedding. Data Min. Knowl. Discov. Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis
2021	J	`jnl`	CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning. CoRR Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang
2020	J	`jnl`	A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations. CoRR Md. Ashraful Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali
2020	J	`jnl`	BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data. CoRR Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman, Md. Saiful Islam, Atif Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali
2020	J	`jnl`	Boosting House Price Predictions using Geo-Spatial Network Embedding. CoRR Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis
2020	B	`conf`	CCCNet: An Attention Based Deep Learning Framework for Categorized Counting of Crowd in Different Body States. IJCNN Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Mohammed Eunus Ali
2019	J	`jnl`	CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting. CoRR Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Mohammed Eunus Ali