Asim Munawar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
20
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. | Kinjal Basu, Ibrahim Abdelaziz, Kiran Kate, Mayank Agarwal, Maxwell Crouse, Yara Rizk, Kelsey Bradford, Asim Munawar, Sadhana Kumaravel, Saurabh Goyal, Xin Wang, Luis A. Lastras, Pavan Kapanipathi |
| 2024 | ACL | API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. | Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras |
| 2024 | ACL | A Grounded Preference Model for LLM Alignment. | Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramn Fernandez Astudillo, Asim Munawar |
| 2024 | EMNLP | Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. | Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi |
| 2024 | ICML | BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. | Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramn Fernandez Astudillo |
| 2023 | ACL | Learning Neuro-Symbolic World Models with Conversational Proprioception. | Don Joven Agravante, Daiki Kimura, Michiaki Tatsubori, Asim Munawar, Alexander Gray |
| 2023 | ACL | Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. | Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray |
| 2023 | EMNLP | Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs. | Young-Suk Lee, Md. Arafat Sultan, Yousef El-Kurdi, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos, Ramn Fernandez Astudillo |
| 2021 | ACL | LOA: Logical Optimal Actions for Text-based Interaction Games. | Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray |
| 2021 | ACL | Language-based General Action Template for Reinforcement Learning Agents. | Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar |
| 2021 | EMNLP | Neuro-Symbolic Approaches for Text-Based Policy Learning. | Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar |
| 2021 | EMNLP | Neuro-Symbolic Reinforcement Learning with First-Order Logic. | Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray |
| 2021 | ICASSP | Data-Efficient Framework for Real-World Multiple Sound Source 2d Localization. | Guillaume Le Moing, Phongtharin Vinayavekhin, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana |
| 2020 | EMNLP | Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games. | Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana |
| 2020 | WACV | Adversarial Discriminative Attention for Robust Anomaly Detection. | Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana |
| 2019 | ISM | Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos. | Subhajit Chaudhury, Hiroki Ozaki, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro |
| 2019 | MMSP | Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning. | Subhajit Chaudhury, Daiki Kimura, Asim Munawar, Ryuki Tachibana |
| 2019 | MMSP | Learning Multiple Sound Source 2D Localization. | Guillaume Le Moing, Phongtharin Vinayavekhin, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Don Joven Agravante |
| 2018 | ICPR | Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. | Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana |
| 2018 | ICRA | MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. | Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch |
| 2017 | IROS | Deep reinforcement learning for high precision assembly tasks. | Tadanobu Inoue, Giovanni De Magistris, Asim Munawar, Tsuyoshi Yokoya, Ryuki Tachibana |
| 2017 | WACV | Spatio-Temporal Anomaly Detection for Industrial Robots through Prediction in Unsupervised Feature Space. | Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris |
| 2016 | ICIP | Low-computation egocentric barcode detector for the blind. | Clement Creusot, Asim Munawar |
| 2015 | MVA | Structural inpainting of road patches for anomaly detection. | Asim Munawar, Clement Creusot |
| 2015 | WACV | Real-Time Barcode Detection in the Wild. | Clement Creusot, Asim Munawar |
| 2014 | DAC | Scalable Co-Simulation of Functional Models With Accurate Event Exchange. | Asim Munawar, Shuichi Shimizu |
| 2013 | ICCAD | ISOMER: integrated selection, partitioning, and placement methodology for reconfigurable architectures. | Rana Muhammad Bilal, Rehan Hafiz, Muhammad Shafique, Saad Shoaib, Asim Munawar, Jrg Henkel |
| 2013 | WSC | On-time data exchange in fully-parallelized co-simulation with conservative synchronization. | Asim Munawar, Takeo Yoshizawa, Tatsuya Ishikawa, Shuichi Shimizu |
| 2011 | CEC | Advanced genetic algorithm to solve MINLP problems over GPU. | Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama |
| 2011 | CEC | Optimization of parallel Genetic Algorithms for nVidia GPUs. | Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama |
| 2011 | SERVICES | A Framework for Cloud Embedded Web Services Utilized by Cloud Applications. | Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama |
| 2010 | CEC | A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU. | Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama |
| 2010 | PDPTA | A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment. | Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama |
| 2009 | PDCAT | Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm. | Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama |
| 2008 | HPCC | Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE. | Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama |
| 2008 | HPCC | A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing. | Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama |
| 2007 | CEC | Optimization problem solving framework employing GAs with linkage identification over a grid environment. | Asim Munawar, Masaharu Munetomo, Kiyoshi Akama |
| 2007 | PDCAT | MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing. | Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama |