Anoop Kumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
18
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLING | An Automatic Method to Estimate Correctness of RAG. | Chi Zhang, Vivek V. Datla, Aditya Shrivastava, Alfy Samuel, Zhiqi Huang, Anoop Kumar, Daben Liu |
| 2025 | EMNLP | A Comparison of Independent and Joint Fine-tuning Strategies for Retrieval-Augmented Generation. | Neal Lawton, Alfy Samuel, Anoop Kumar, Daben Liu |
| 2025 | EMNLP | Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation. | Xujun Peng, Anoop Kumar, Jingyu Wu, Parker Glenn, Daben Liu |
| 2025 | EMNLP | TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs. | Duygu Nur Yaldiz, Yavuz Faruk Bakman, Sungmin Kang, Alperen zis, Hayrettin Eren Yildiz, Mitash Ashish Shah, Zhiqi Huang, Anoop Kumar, Alfy Samuel, Daben Liu, Sai Praneeth Karimireddy, Salman Avestimehr |
| 2025 | IJCNLP | FB-RAG: Improving RAG with Forward and Backward Lookup. | Kushal Chawla, Alfy Samuel, Anoop Kumar, Daben Liu |
| 2024 | ATSIP | Exploring Task Offloading in Mobile Edge Computing Environments: An In-Depth Review and Prospective Analysis. | Mohammad Ashique E. Rasool, Anoop Kumar, Asharul Islam, Mohammad Nadeem Ahmed |
| 2024 | COLING | Agenda-Driven Question Generation: A Case Study in the Courtroom Domain. | Yi Ren Fung, Anoop Kumar, Aram Galstyan, Heng Ji, Prem Natarajan |
| 2024 | EACL | Correcting Language Model Outputs by Editing Salient Layers. | Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar |
| 2024 | EACL | Prompt Perturbation Consistency Learning for Robust Language Models. | Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan |
| 2024 | NAACL | Leveraging LLMs for Dialogue Quality Measurement. | Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar |
| 2023 | ACL | Measuring and Mitigating Local Instability in Deep Neural Networks. | Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan |
| 2023 | ACL | ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. | Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan |
| 2023 | ACL | Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models. | Neal Lawton, Anoop Kumar, Govind Thattai, Aram Galstyan, Greg Ver Steeg |
| 2023 | CIKM | Predicting Interaction Quality of Conversational Assistants With Spoken Language Understanding Model Confidences. | Yue Gao, Enrico Piovano, Tamer Soliman, Monir Moniruzzaman, Anoop Kumar, Melanie Bradford, Subhrangshu Nandi |
| 2023 | RAID | PrivMon: A Stream-Based System for Real-Time Privacy Attack Detection for Machine Learning Models. | Myeongseob Ko, Xinyu Yang, Zhengjie Ji, Hoang Anh Just, Peng Gao, Anoop Kumar, Ruoxi Jia |
| 2022 | EMNLP | Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. | Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan |
| 2022 | Interspeech | Learning Under Label Noise for Robust Spoken Language Understanding systems. | Anoop Kumar, Pankaj Kumar Sharma, Aravind Illa, Sriram Venkatapathy, Subhrangshu Nandi, Pritam Varma, Anurag Dwarakanath, Aram Galstyan |
| 2022 | NAACL | Temporal Generalization for Spoken Language Understanding. | Judith Gaspers, Anoop Kumar, Greg Ver Steeg, Aram Galstyan |
| 2018 | AAAI | Load Scheduling of Simple Temporal Networks Under Dynamic Resource Pricing. | T. K. Satish Kumar, Zhi Wang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock |
| 2018 | FlAIRS | Alert Generation in Execution Monitoring Using Resource Envelopes. | T. K. Satish Kumar, Hong Xu, Zheng Tang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock |
| 2018 | ISAIM | On the Linear Programming Duals of Temporal Reasoning Problems. | T. K. Satish Kumar, Zhi Wang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock |
| 2017 | ICTAI | A Distributed Logical Filter for Connected Row Convex Constraints. | T. K. Satish Kumar, Hong Xu, Zheng Tang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock |
| 2016 | RecSys | Temporal learning and sequence modeling for a job recommender system. | Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan |
| 2015 | AVSS | An end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement. | Anthony Hoogs, A. G. Amitha Perera, Roderic Collins, Arslan Basharat, Keith Fieldhouse, Chuck Atkins, Linus Sherrill, Benjamin Boeckel, Russell Blue, Matthew Woehlke, C. Greco, Zhaohui Sun, Eran Swears, Naresh P. Cuntoor, J. Luck, B. Drew, D. Hanson, D. Rowley, J. Kopaz, T. Rude, D. Keefe, Amit Srivastava, Saurabh Khanwalkar, Anoop Kumar, Chia-Chih Chen, J. K. Aggarwal, Larry S. Davis, Yaser Yacoob, A. Jain, Dong Liu, Shih-Fu Chang, Bi Song, Amit K. Roy-Chowdhury, Kenneth Sullivan, Jelena Tesic, Shivkumar Chandrasekaran, B. S. Manjunath, X. Wang, Qiang Ji, K. Reddy, J. Liu, Mubarak Shah, K. Chang, Tsuhan Chen, Mita Desai |
| 2013 | ICMV | Application of discriminative models for interactive query refinement in video retrieval. | Amit Srivastava, Saurabh Khanwalkar, Anoop Kumar |
| 2013 | KDD | Leveraging candidate popularity on Twitter to predict election outcome. | Manish Gaurav, Amit Srivastava, Anoop Kumar, Scott Miller |
| 2011 | Interspeech | Online Speech Activity Detection in Broadcast News. | Chao Gao, Guruprasad Saikumar, Saurabh Khanwalkar, Avi Herscovici, Anoop Kumar, Amit Srivastava, Premkumar Natarajan |