Ishan Jindal

39 papers A* 2B 2Misc 2Journal 19Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Path of Least Resistance: Guiding LLM Reasining Trajectories with Prefix Consensus.
CoRR
Ishan Jindal, Sai Prashanth Akuthota, Jayant Taneja, Sachin Dev Sharma
2025 — conf
Identifying Noise in Human-Created Datasets using Training Dynamics from Generative Models.
EMNLP (Findings)
Maeda F. Hanafi, Ishan Jindal, Yannis Katsis, Lucian Popa, Huaiyu Zhu
2025 — conf
Offloaded Reasoning: Efficient Inference for Large Language Models via Modular Reasoning and Refinement.
EMNLP (Findings)
Ishan Jindal, Jayant Taneja, Chandana Badrinath, Vikas Kapur, Sachin Dev Sharma
2025 J jnl
Real-Time Cooked Food Image Synthesis and Visual Cooking Progress Monitoring on Edge Devices.
CoRR
Jigyasa Gupta, Soumya Goyal, Anil Kumar, Ishan Jindal
2024 J jnl
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs.
CoRR
Ishan Jindal, Chandana Badrinath, Pranjal Bharti, Lakkidi Vinay, Sachin Dev Sharma
2023 A* conf
Abstractive Open Information Extraction.
EMNLP
Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang
2023 — conf
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture.
EMNLP (Findings)
Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James A. Hendler, Dakuo Wang
2023 J jnl
Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture.
CoRR
Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, James A. Hendler, Dakuo Wang
2023 — conf
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation.
EACL (Findings)
Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li
2023 — conf
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications.
ACL (1)
Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, ChengXiang Zhai, Yunyao Li
2022 — conf
Label Definitions Improve Semantic Role Labeling.
NAACL-HLT
Li Zhang, Ishan Jindal, Yunyao Li
2022 — conf
Meaning Representations for Natural Languages: Design, Models and Applications.
EMNLP (Tutorial Abstracts)
Jeffrey Flanigan, Ishan Jindal, Yunyao Li, Tim O'Gorman, Martha Palmer, Nianwen Xue
2022 — conf
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis.
CVPR Workshops
Sumit Shekhar, Bhanu Prakash Reddy Guda, Ashutosh Chaubey, Ishan Jindal, Avneet Jain
2022 J jnl
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation.
CoRR
Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li
2022 B conf
Universal Proposition Bank 2.0.
LREC
Ishan Jindal, Alexandre Rademaker, Michal Ulewicz, Ha Linh, Huyen Nguyen, Khoi-Nguyen Tran, Huaiyu Zhu, Yunyao Li
2022 J jnl
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications.
CoRR
Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, ChengXiang Zhai, Yunyao Li
2021 J jnl
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.
CoRR
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto Martinez, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang
2021 J jnl
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis.
CoRR
Sumit Shekhar, Bhanu Prakash Reddy Guda, Ashutosh Chaubey, Ishan Jindal, Avneet Jain
2020 — conf
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling.
EMNLP (Findings)
Ishan Jindal, Yunyao Li, Siddhartha Brahma, Huaiyu Zhu
2020 J jnl
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling.
CoRR
Ishan Jindal, Yunyao Li, Siddhartha Brahma, Huaiyu Zhu
2020 J jnl
Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation.
CoRR
Ishan Jindal, Ranit Aharonov, Siddhartha Brahma, Huaiyu Zhu, Yunyao Li
2019 — conf
A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels.
CVPR Workshops
Ishan Jindal, Matthew S. Nokleby, Daniel Pressel
2019 — conf
An Effective Label Noise Model for DNN Text Classification.
NAACL-HLT (1)
Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby
2019 J jnl
An Effective Label Noise Model for DNN Text Classification.
CoRR
Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby
2019 Misc conf
Tensor Matched Kronecker-structured Subspace Detection for Missing Information.
ICASSP
Ishan Jindal, Matthew S. Nokleby
2018 J jnl
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms.
IEEE J. Sel. Top. Signal Process.
Ishan Jindal, Matthew S. Nokleby
2018 — conf
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
IEEE BigData
Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2018 J jnl
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
CoRR
Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2018 J jnl
Tensor Matched Kronecker-Structured Subspace Detection for Missing Information.
CoRR
Ishan Jindal, Matthew S. Nokleby
2017 J jnl
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip.
CoRR
Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2017 Misc conf
Fast and compact Kronecker-structured dictionary learning for classification and representation.
ACSSC
Ishan Jindal, Matthew S. Nokleby
2017 J jnl
Learning Deep Networks from Noisy Labels with Dropout Regularization.
CoRR
Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen
2017 J jnl
Performance Limits on the Classification of Kronecker-structured Models.
CoRR
Ishan Jindal, Matthew S. Nokleby
2017 B conf
Performance limits on the classification of Kronecker-structured models.
ISIT
Ishan Jindal, Matthew S. Nokleby
2016 — conf
Dynamic scene classification using convolutional neural networks.
GlobalSIP
Aalok Gangopadhyay, Shivam Mani Tripathi, Ishan Jindal, Shanmuganathan Raman
2016 A* conf
Learning Deep Networks from Noisy Labels with Dropout Regularization.
ICDM
Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen
2015 J jnl
Effective Object Tracking in Unstructured Crowd Scenes.
CoRR
Ishan Jindal, Shanmuganathan Raman
2015 J jnl
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks.
CoRR
Aalok Gangopadhyay, Shivam Mani Tripathi, Ishan Jindal, Shanmuganathan Raman
2015 — conf
Semantic description of a video using representative frames.
NCVPRIPG
Ishan Jindal, Shanmuganathan Raman