Tejaswini Pedapati
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
11
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AI Steerability 360: A Toolkit for Steering Large Language Models. | Erik Miehling, Karthikeyan Natesan Ramamurthy, Praveen Venkateswaran, Ching-Yun Ko, Pierre L. Dognin, Moninder Singh, Tejaswini Pedapati, Avinash Balakrishnan, Matthew Riemer, Dennis Wei, Inge Vejsbjerg, Elizabeth M. Daly, Kush R. Varshney |
| 2026 | ACL | ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval. | David H. Yang, Yuxuan Zhu, Mohammad Mohammadi Amiri, Keerthiram Murugesan, Tejaswini Pedapati, Subhajit Chaudhury, Pin-Yu Chen |
| 2026 | ACL | OjaKV: Context-Aware Online Low-Rank KV Cache Compression. | Yuxuan Zhu, David H. Yang, Mohammad Mohammadi Amiri, Keerthiram Murugesan, Tejaswini Pedapati, Pin-Yu Chen |
| 2025 | AAAI | EvalAssist: LLM-as-a-Judge Simplified. | Michael Desmond, Zahra Ashktorab, Werner Geyer, Elizabeth M. Daly, Martn Santilln Cooper, Qian Pan, Rahul Nair, Nico Wagner, Tejaswini Pedapati |
| 2025 | AAAI | From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers. | Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen |
| 2025 | ACL | EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts. | Subhajit Chaudhury, Payel Das, Sarathkrishna Swaminathan, Georgios Kollias, Elliot Nelson, Khushbu Pahwa, Tejaswini Pedapati, Igor Melnyk, Matthew Riemer |
| 2025 | ICASSP | Modular Prompt Learning Improves Vision-Language Models. | Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao |
| 2025 | ICDE | TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery Over Data Lakes. | Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas |
| 2025 | ICLR | Large Language Models can Become Strong Self-Detoxifiers. | Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel |
| 2025 | IJCAI | Differentiable Prompt Learning for Vision Language Models. | Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao |
| 2025 | NAACL | STAR: Spectral Truncation and Rescale for Model Merging. | Yu-Ang Lee, Ching-Yun Ko, Tejaswini Pedapati, I-Hsin Chung, Mi-Yen Yeh, Pin-Yu Chen |
| 2025 | NAACL | Granite Guardian: Comprehensive LLM Safeguarding. | Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martn Santilln Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri |
| 2025 | UIST | EvalAssist: Insights on Task-Specific Evaluations and AI-Assisted Judgment Strategy Preferences. | Zahra Ashktorab, Michael Desmond, Qian Pan, James M. Johnson, Martn Santilln Cooper, Elizabeth M. Daly, Rahul Nair, Tejaswini Pedapati, Hyo Jin Do, Werner Geyer |
| 2025 | VLDB | TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search. | Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Haritha Ananthakrishnan, Oktie Hassanzadeh, Horst Samulowitz, Kavitha Srinivas |
| 2024 | ACL | NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. | Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurlie C. Lozano, Payel Das, Georgios Kollias |
| 2021 | AAAI | AutoText: An End-to-End AutoAI Framework for Text. | Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li |
| 2020 | ICML | Learning to Rank Learning Curves. | Martin Wistuba, Tejaswini Pedapati |
| 2020 | IJCNN | Survey on Automated End-to-End Data Science? | Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray |
| 2018 | AAAI | Dataset Evolver: An Interactive Feature Engineering Notebook. | Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga |