Asim Munawar

86 papers A* 4A 5B 9C 7Misc 4Journal 34Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Simulating Complex Multi-Turn Tool Calling Interactions in Stateless Execution Environments.
CoRR
Maxwell Crouse, Ibrahim Abdelaziz, Kshitij Fadnis, Siva Sankalp Patel, Kinjal Basu, Chulaka Gunasekara, Sadhana Kumaravel, Asim Munawar, Pavan Kapanipathi
2025 A* conf
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls.
EMNLP
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 — conf
A Grounded Preference Model for LLM Alignment.
ACL (Findings)
Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar
2024 — conf
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.
ACL (1)
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
2024 J jnl
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.
CoRR
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
2024 A* conf
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.
ICML
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
2024 J jnl
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.
CoRR
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
2024 J jnl
Granite Code Models: A Family of Open Foundation Models for Code Intelligence.
CoRR
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, Syed 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
2024 — conf
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
EMNLP (Industry Track)
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 J jnl
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
CoRR
Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, R. 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
2024 J jnl
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls.
CoRR
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
2024 J jnl
Self-Refinement of Language Models from External Proxy Metrics Feedback.
CoRR
Keshav Ramji, Young-Suk Lee, Ramón Fernandez Astudillo, Md. Arafat Sultan, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos
2023 J jnl
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs.
CoRR
Young-Suk Lee, Md. Arafat Sultan, Yousef El-Kurdi, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos, Ramón Fernandez Astudillo
2023 — conf
Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs.
EMNLP (Findings)
Young-Suk Lee, Md. Arafat Sultan, Yousef El-Kurdi, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos, Ramón Fernandez Astudillo
2023 — conf
Learning Neuro-Symbolic World Models with Conversational Proprioception.
ACL (2)
Don Joven Agravante, Daiki Kimura, Michiaki Tatsubori, Asim Munawar, Alexander Gray
2023 — conf
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning.
ACL (1)
Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
2023 J jnl
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning.
CoRR
Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray
2023 J jnl
Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology.
CoRR
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
2022 J jnl
How a shopping mall trip inspired me to work in neuro-symbolic AI.
Commun. ACM
Asim Munawar
2021 Misc conf
Data-Efficient Framework for Real-World Multiple Sound Source 2d Localization.
ICASSP
Guillaume Le Moing, Phongtharin Vinayavekhin, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana
2021 — conf
LOA: Logical Optimal Actions for Text-based Interaction Games.
ACL (demo)
Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray
2021 J jnl
LOA: Logical Optimal Actions for Text-based Interaction Games.
CoRR
Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray
2021 — conf
Language-based General Action Template for Reinforcement Learning Agents.
ACL/IJCNLP (Findings)
Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar
2021 — conf
Neuro-Symbolic Approaches for Text-Based Policy Learning.
EMNLP (1)
Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar
2021 — conf
Neuro-Symbolic Reinforcement Learning with First-Order Logic.
EMNLP (1)
Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray
2021 J jnl
Neuro-Symbolic Reinforcement Learning with First-Order Logic.
CoRR
Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray
2021 J jnl
Reinforcement Learning with External Knowledge by using Logical Neural Networks.
CoRR
Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray
2020 A conf
Adversarial Discriminative Attention for Robust Anomaly Detection.
WACV
Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana
2020 — conf
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games.
EMNLP (1)
Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana
2020 J jnl
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games.
CoRR
Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana
2020 J jnl
Data-Efficient Framework for Real-world Multiple Sound Source 2D Localization.
CoRR
Guillaume Le Moing, Phongtharin Vinayavekhin, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana
2020 J jnl
Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization.
CoRR
Guillaume Le Moing, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Phongtharin Vinayavekhin
2020 J jnl
Learning Multiple Sound Source 2D Localization.
CoRR
Guillaume Le Moing, Phongtharin Vinayavekhin, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Don Joven Agravante
2020 J jnl
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos.
CoRR
Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro, Hiroki Ozaki
2019 J jnl
Design and Implementation of Linked Planning Domain Definition Language.
CoRR
Michiaki Tatsubori, Asim Munawar, Takao Moriyama
2019 C conf
Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning.
MMSP
Subhajit Chaudhury, Daiki Kimura, Asim Munawar, Ryuki Tachibana
2019 C conf
Learning Multiple Sound Source 2D Localization.
MMSP
Guillaume Le Moing, Phongtharin Vinayavekhin, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Don Joven Agravante
2019 — conf
Shuffling and Mixing Data Augmentation for Environmental Sound Classification.
DCASE
Tadanobu Inoue, Phongtharin Vinayavekhin, Shiqiang Wang, David Wood, Asim Munawar, Bong Jun Ko, Nancy Greco, Ryuki Tachibana
2019 J jnl
Spatially-weighted Anomaly Detection with Regression Model.
CoRR
Daiki Kimura, Minori Narita, Asim Munawar, Ryuki Tachibana
2019 C conf
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos.
ISM
Subhajit Chaudhury, Hiroki Ozaki, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro
2018 J jnl
Constrained Exploration and Recovery from Experience Shaping.
CoRR
Tu-Hoa Pham, Giovanni De Magistris, Don Joven Agravante, Subhajit Chaudhury, Asim Munawar, Ryuki Tachibana
2018 J jnl
Deep Learning with Predictive Control for Human Motion Tracking.
CoRR
Don Joven Agravante, Giovanni De Magistris, Asim Munawar, Phongtharin Vinayavekhin, Ryuki Tachibana
2018 J jnl
Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion.
CoRR
Giovanni De Magistris, Asim Munawar, Tu-Hoa Pham, Tadanobu Inoue, Phongtharin Vinayavekhin, Ryuki Tachibana
2018 B conf
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention.
ICPR
Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana
2018 J jnl
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention.
CoRR
Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana
2018 A* conf
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning.
ICRA
Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch
2018 J jnl
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning.
CoRR
Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch
2018 — conf
Modeling Sentiment Polarity in Support Ticket Data for Predicting Cloud Service Subscription Renewal.
SCC
Kugamoorthy Gajananan, Pablo Loyola, Yasuharu Katsuno, Asim Munawar, Scott Trent, Fumiko Satoh
2018 J jnl
Reinforcement Learning Testbed for Power-Consumption Optimization.
CoRR
Takao Moriyama, Giovanni De Magistris, Michiaki Tatsubori, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana
2018 J jnl
Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process.
CoRR
Akifumi Wachi, Hiroshi Kajino, Asim Munawar
2018 J jnl
Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation.
CoRR
Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana
2017 J jnl
Conditional generation of multi-modal data using constrained embedding space mapping.
CoRR
Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana
2017 J jnl
Deep Reinforcement Learning for High Precision Assembly Tasks.
CoRR
Tadanobu Inoue, Giovanni De Magistris, Asim Munawar, Tsuyoshi Yokoya, Ryuki Tachibana
2017 A conf
Deep reinforcement learning for high precision assembly tasks.
IROS
Tadanobu Inoue, Giovanni De Magistris, Asim Munawar, Tsuyoshi Yokoya, Ryuki Tachibana
2017 B conf
Human-Like Hand Reaching by Motion Prediction Using Long Short-Term Memory.
ICSR
Phongtharin Vinayavekhin, Michiaki Tatsubori, Daiki Kimura, Yifan Huang, Giovanni De Magistris, Asim Munawar, Ryuki Tachibana
2017 — conf
Knowledge Engine for Robots Using Ontology.
ACIT/CSII/BCD
Khan Md. Anwarus Salam, Asim Munawar
2017 J jnl
Limiting the Reconstruction Capability of Generative Neural Network using Negative Learning.
CoRR
Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris
2017 — conf
Limiting the reconstruction capability of generative neural network using negative learning.
MLSP
Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris
2017 A conf
Spatio-Temporal Anomaly Detection for Industrial Robots through Prediction in Unsupervised Feature Space.
WACV
Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris
2017 — conf
Text to image generative model using constrained embedding space mapping.
MLSP
Subhajit Chaudhury, Sakyasingha Dasgupta, Asim Munawar, Md. A. Salam Khan, Ryuki Tachibana
2016 B conf
Low-computation egocentric barcode detector for the blind.
ICIP
Clement Creusot, Asim Munawar
2015 A conf
Real-Time Barcode Detection in the Wild.
WACV
Clement Creusot, Asim Munawar
2015 B conf
Real-time small obstacle detection on highways using compressive RBM road reconstruction.
Intelligent Vehicles Symposium
Clement Creusot, Asim Munawar
2015 Misc conf
Structural inpainting of road patches for anomaly detection.
MVA
Asim Munawar, Clement Creusot
2014 A* conf
Scalable Co-Simulation of Functional Models With Accurate Event Exchange.
DAC
Asim Munawar, Shuichi Shimizu
2013 A conf
ISOMER: integrated selection, partitioning, and placement methodology for reconfigurable architectures.
ICCAD
Rana Muhammad Bilal, Rehan Hafiz, Muhammad Shafique, Saad Shoaib, Asim Munawar, Jörg Henkel
2013 Misc conf
On-time data exchange in fully-parallelized co-simulation with conservative synchronization.
WSC
Asim Munawar, Takeo Yoshizawa, Tatsuya Ishikawa, Shuichi Shimizu
2013 — ch.
arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU.
Massively Parallel Evolutionary Computation on GPGPUs
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2011 B conf
A Framework for Cloud Embedded Web Services Utilized by Cloud Applications.
SERVICES
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2011 B conf
Advanced genetic algorithm to solve MINLP problems over GPU.
IEEE Congress on Evolutionary Computation
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2011 B conf
Optimization of parallel Genetic Algorithms for nVidia GPUs.
IEEE Congress on Evolutionary Computation
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2011 — conf
Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search.
LION
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2010 B conf
A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU.
IEEE Congress on Evolutionary Computation
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2010 Misc conf
A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment.
PDPTA
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2010 J jnl
The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization.
Future Gener. Comput. Syst.
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2009 J jnl
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework.
Genet. Program. Evolvable Mach.
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2009 C conf
Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm.
PDCAT
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2008 — conf
A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving.
IEEE SCC (2)
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2008 C conf
A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing.
HPCC
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2008 — conf
Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application.
GRID
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2008 — ch.
Parallel GEAs with Linkage Analysis over Grid.
Linkage in Evolutionary Computation
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2008 — conf
SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes.
GRID
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2008 C conf
Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE.
HPCC
Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama
2007 — conf
A Framework of GRID Problem-Solving Environment Employing Robust Evolutionary Search.
EUROCAST
Masaharu Munetomo, Asim Munawar, Kiyoshi Akama
2007 C conf
MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing.
PDCAT
Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama
2007 B conf
Optimization problem solving framework employing GAs with linkage identification over a grid environment.
IEEE Congress on Evolutionary Computation
Asim Munawar, Masaharu Munetomo, Kiyoshi Akama