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2020 – today
- 2024
[c48]Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar:
A Grounded Preference Model for LLM Alignment. ACL (Findings) 2024: 151-162- [c47]Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras:
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) 2024: 12859-12870 - [c46]Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo:
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. ICML 2024 - [i30]Gaurav Pandey, Yatin Nandwani
, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo:
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. CoRR abs/2402.02479 (2024) - [i29]Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras:
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. CoRR abs/2402.15491 (2024) - [i28]Keshav Ramji, Young-Suk Lee, Ramón Fernandez Astudillo, Md. Arafat Sultan, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos:
Self-Refinement of Language Models from External Proxy Metrics Feedback. CoRR abs/2403.00827 (2024) - [i27]Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024) - [i26]Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin 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:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR abs/2407.00121 (2024) - [i25]Kinjal Basu, Ibrahim Abdelaziz, Kelsey Bradford, Maxwell Crouse, Kiran Kate, Sadhana Kumaravel, Saurabh Goyal, Asim Munawar, Yara Rizk, Xin Wang, Luis A. Lastras, Pavan Kapanipathi:
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. CoRR abs/2409.03797 (2024) - 2023
- [c45]Don Joven Agravante, Daiki Kimura, Michiaki Tatsubori, Asim Munawar, Alexander Gray:
Learning Neuro-Symbolic World Models with Conversational Proprioception. ACL (2) 2023: 648-656 - [c44]Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray:
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. ACL (1) 2023: 6764-6776 - [c43]Young-Suk Lee, Md. Arafat Sultan, Yousef El-Kurdi, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos, Ramón Fernandez Astudillo:
Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs. EMNLP (Findings) 2023: 12561-12571 - [i24]Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray:
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. CoRR abs/2307.02689 (2023) - [i23]Hina Raja, Asim Munawar, Mohammad Delsoz, Mohammad Elahi, Yeganeh Madadi, Amr Hassan, Hashem Abu Serhan, Onur Inam, Luis Hermandez, Sang Tran, Wuqas Munir, Alaa A. Abd-alrazaq, Hao Chen, Siamak Yousefi:
Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology. CoRR abs/2308.16688 (2023) - [i22]Young-Suk Lee, Md. Arafat Sultan, Yousef El-Kurdi, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos, Ramón Fernandez Astudillo:
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs. CoRR abs/2310.13961 (2023) - 2022
- [j3]Asim Munawar:
How a shopping mall trip inspired me to work in neuro-symbolic AI. Commun. ACM 65(5): 11 (2022) - 2021
- [c42]Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray:
LOA: Logical Optimal Actions for Text-based Interaction Games. ACL (demo) 2021: 227-231 - [c41]Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar:
Language-based General Action Template for Reinforcement Learning Agents. ACL/IJCNLP (Findings) 2021: 2125-2139 - [c40]Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar:
Neuro-Symbolic Approaches for Text-Based Policy Learning. EMNLP (1) 2021: 3073-3078 - [c39]Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray:
Neuro-Symbolic Reinforcement Learning with First-Order Logic. EMNLP (1) 2021: 3505-3511 - [c38]Guillaume Le Moing, Phongtharin Vinayavekhin, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana:
Data-Efficient Framework for Real-World Multiple Sound Source 2d Localization. ICASSP 2021: 3425-3429 - [i21]Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray:
Reinforcement Learning with External Knowledge by using Logical Neural Networks. CoRR abs/2103.02363 (2021) - [i20]Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray:
Neuro-Symbolic Reinforcement Learning with First-Order Logic. CoRR abs/2110.10963 (2021) - [i19]Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray:
LOA: Logical Optimal Actions for Text-based Interaction Games. CoRR abs/2110.10973 (2021) - 2020
- [c37]Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana:
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games. EMNLP (1) 2020: 3002-3008 - [c36]Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana:
Adversarial Discriminative Attention for Robust Anomaly Detection. WACV 2020: 2161-2170 - [i18]Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro, Hiroki Ozaki:
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos. CoRR abs/2002.08097 (2020) - [i17]Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana:
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games. CoRR abs/2009.11896 (2020) - [i16]Guillaume Le Moing, Phongtharin Vinayavekhin, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Don Joven Agravante:
Learning Multiple Sound Source 2D Localization. CoRR abs/2012.05515 (2020) - [i15]Guillaume Le Moing, Phongtharin Vinayavekhin, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana:
Data-Efficient Framework for Real-world Multiple Sound Source 2D Localization. CoRR abs/2012.05533 (2020) - [i14]Guillaume Le Moing, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Phongtharin Vinayavekhin:
Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization. CoRR abs/2012.05908 (2020)
2010 – 2019
- 2019
- [c35]Tadanobu Inoue, Phongtharin Vinayavekhin, Shiqiang Wang, David Wood, Asim Munawar, Bong Jun Ko, Nancy Greco, Ryuki Tachibana:
Shuffling and Mixing Data Augmentation for Environmental Sound Classification. DCASE 2019: 109-113 - [c34]Subhajit Chaudhury, Hiroki Ozaki, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro:
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos. ISM 2019: 9-16 - [c33]Subhajit Chaudhury, Daiki Kimura, Asim Munawar, Ryuki Tachibana:
Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning. MMSP 2019: 1-6 - [c32]Guillaume Le Moing, Phongtharin Vinayavekhin, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Don Joven Agravante:
Learning Multiple Sound Source 2D Localization. MMSP 2019: 1-6 - [i13]Daiki Kimura, Minori Narita, Asim Munawar, Ryuki Tachibana:
Spatially-weighted Anomaly Detection with Regression Model. CoRR abs/1903.09798 (2019) - [i12]Michiaki Tatsubori, Asim Munawar, Takao Moriyama:
Design and Implementation of Linked Planning Domain Definition Language. CoRR abs/1912.07834 (2019) - 2018
- [c31]Kugamoorthy Gajananan, Pablo Loyola, Yasuharu Katsuno, Asim Munawar, Scott Trent, Fumiko Satoh:
Modeling Sentiment Polarity in Support Ticket Data for Predicting Cloud Service Subscription Renewal. SCC 2018: 49-56 - [c30]Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana:
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. ICPR 2018: 2624-2629 - [c29]Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch:
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. ICRA 2018: 527-534 - [i11]Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch:
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. CoRR abs/1806.00802 (2018) - [i10]Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana:
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. CoRR abs/1806.08523 (2018) - [i9]Giovanni De Magistris, Asim Munawar, Tu-Hoa Pham, Tadanobu Inoue, Phongtharin Vinayavekhin, Ryuki Tachibana:
Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion. CoRR abs/1807.06749 (2018) - [i8]Don Joven Agravante, Giovanni De Magistris, Asim Munawar, Phongtharin Vinayavekhin, Ryuki Tachibana:
Deep Learning with Predictive Control for Human Motion Tracking. CoRR abs/1808.02200 (2018) - [i7]Takao Moriyama, Giovanni De Magistris, Michiaki Tatsubori, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana:
Reinforcement Learning Testbed for Power-Consumption Optimization. CoRR abs/1808.10427 (2018) - [i6]Akifumi Wachi, Hiroshi Kajino, Asim Munawar:
Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process. CoRR abs/1809.04232 (2018) - [i5]Tu-Hoa Pham, Giovanni De Magistris, Don Joven Agravante, Subhajit Chaudhury, Asim Munawar, Ryuki Tachibana:
Constrained Exploration and Recovery from Experience Shaping. CoRR abs/1809.08925 (2018) - [i4]Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana:
Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation. CoRR abs/1810.01108 (2018) - 2017
- [c28]Khan Md. Anwarus Salam, Asim Munawar:
Knowledge Engine for Robots Using Ontology. ACIT/CSII/BCD 2017: 25-28 - [c27]Tadanobu Inoue, Giovanni De Magistris, Asim Munawar, Tsuyoshi Yokoya, Ryuki Tachibana:
Deep reinforcement learning for high precision assembly tasks. IROS 2017: 819-825 - [c26]Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana:
Text to image generative model using constrained embedding space mapping. MLSP 2017: 1-6 - [c25]Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris:
Limiting the reconstruction capability of generative neural network using negative learning. MLSP 2017: 1-6 - [c24]Phongtharin Vinayavekhin, Michiaki Tatsubori, Daiki Kimura, Yifan Huang, Giovanni De Magistris, Asim Munawar, Ryuki Tachibana:
Human-Like Hand Reaching by Motion Prediction Using Long Short-Term Memory. ICSR 2017: 156-166 - [c23]Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris:
Spatio-Temporal Anomaly Detection for Industrial Robots through Prediction in Unsupervised Feature Space. WACV 2017: 1017-1025 - [i3]Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana:
Conditional generation of multi-modal data using constrained embedding space mapping. CoRR abs/1707.00860 (2017) - [i2]Tadanobu Inoue, Giovanni De Magistris, Asim Munawar, Tsuyoshi Yokoya, Ryuki Tachibana:
Deep Reinforcement Learning for High Precision Assembly Tasks. CoRR abs/1708.04033 (2017) - [i1]Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris:
Limiting the Reconstruction Capability of Generative Neural Network using Negative Learning. CoRR abs/1708.08985 (2017) - 2016
- [c22]Clement Creusot, Asim Munawar:
Low-computation egocentric barcode detector for the blind. ICIP 2016: 2856-2860 - 2015
- [c21]Clement Creusot, Asim Munawar:
Real-time small obstacle detection on highways using compressive RBM road reconstruction. Intelligent Vehicles Symposium 2015: 162-167 - [c20]Asim Munawar, Clement Creusot:
Structural inpainting of road patches for anomaly detection. MVA 2015: 41-44 - [c19]Clement Creusot, Asim Munawar:
Real-Time Barcode Detection in the Wild. WACV 2015: 239-245 - 2014
- [c18]Asim Munawar, Shuichi Shimizu:
Scalable Co-Simulation of Functional Models With Accurate Event Exchange. DAC 2014: 93:1-93:6 - 2013
- [c17]Rana Muhammad Bilal, Rehan Hafiz, Muhammad Shafique, Saad Shoaib, Asim Munawar, Jörg Henkel:
ISOMER: integrated selection, partitioning, and placement methodology for reconfigurable architectures. ICCAD 2013: 755-762 - [c16]Asim Munawar, Takeo Yoshizawa, Tatsuya Ishikawa, Shuichi Shimizu:
On-time data exchange in fully-parallelized co-simulation with conservative synchronization. WSC 2013: 2127-2138 - [p2]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU. Massively Parallel Evolutionary Computation on GPGPUs 2013: 83-104 - 2011
- [c15]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Advanced genetic algorithm to solve MINLP problems over GPU. IEEE Congress on Evolutionary Computation 2011: 318-325 - [c14]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
Optimization of parallel Genetic Algorithms for nVidia GPUs. IEEE Congress on Evolutionary Computation 2011: 803-811 - [c13]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search. LION 2011: 203-217 - [c12]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
A Framework for Cloud Embedded Web Services Utilized by Cloud Applications. SERVICES 2011: 265-271 - 2010
- [j2]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization. Future Gener. Comput. Syst. 26(4): 633-644 (2010) - [c11]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c10]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment. PDPTA 2010: 658-664
2000 – 2009
- 2009
- [j1]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework. Genet. Program. Evolvable Mach. 10(4): 391-415 (2009) - [c9]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm. PDCAT 2009: 457-462 - 2008
- [c8]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving. IEEE SCC (2) 2008: 563-566 - [c7]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application. GRID 2008: 316-321 - [c6]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes. GRID 2008: 346-351 - [c5]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE. HPCC 2008: 131-138 - [c4]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing. HPCC 2008: 897-902 - [p1]Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
Parallel GEAs with Linkage Analysis over Grid. Linkage in Evolutionary Computation 2008: 159-187 - 2007
- [c3]Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
Optimization problem solving framework employing GAs with linkage identification over a grid environment. IEEE Congress on Evolutionary Computation 2007: 1191-1198 - [c2]Masaharu Munetomo, Asim Munawar, Kiyoshi Akama:
A Framework of GRID Problem-Solving Environment Employing Robust Evolutionary Search. EUROCAST 2007: 473-480 - [c1]Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing. PDCAT 2007: 167-168
Coauthor Index
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