Asim Munawar

Orcid: 0000-0002-9101-9545

According to our database1, Asim Munawar authored at least 72 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls.
CoRR, 2024

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
CoRR, 2024

Granite Code Models: A Family of Open Foundation Models for Code Intelligence.
CoRR, 2024

Self-Refinement of Language Models from External Proxy Metrics Feedback.
CoRR, 2024

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.
CoRR, 2024

BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

A Grounded Preference Model for LLM Alignment.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs.
CoRR, 2023

Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology.
CoRR, 2023

Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning Neuro-Symbolic World Models with Conversational Proprioception.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
How a shopping mall trip inspired me to work in neuro-symbolic AI.
Commun. ACM, 2022

2021
Reinforcement Learning with External Knowledge by using Logical Neural Networks.
CoRR, 2021

Data-Efficient Framework for Real-World Multiple Sound Source 2d Localization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Neuro-Symbolic Reinforcement Learning with First-Order Logic.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Neuro-Symbolic Approaches for Text-Based Policy Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Language-based General Action Template for Reinforcement Learning Agents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

LOA: Logical Optimal Actions for Text-based Interaction Games.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization.
CoRR, 2020

Adversarial Discriminative Attention for Robust Anomaly Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Design and Implementation of Linked Planning Domain Definition Language.
CoRR, 2019

Spatially-weighted Anomaly Detection with Regression Model.
CoRR, 2019

Learning Multiple Sound Source 2D Localization.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos.
Proceedings of the IEEE International Symposium on Multimedia, 2019

Shuffling and Mixing Data Augmentation for Environmental Sound Classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018
Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation.
CoRR, 2018

Constrained Exploration and Recovery from Experience Shaping.
CoRR, 2018

Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process.
CoRR, 2018

Reinforcement Learning Testbed for Power-Consumption Optimization.
CoRR, 2018

Deep Learning with Predictive Control for Human Motion Tracking.
CoRR, 2018

Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion.
CoRR, 2018

MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Modeling Sentiment Polarity in Support Ticket Data for Predicting Cloud Service Subscription Renewal.
Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017
Conditional generation of multi-modal data using constrained embedding space mapping.
CoRR, 2017

Spatio-Temporal Anomaly Detection for Industrial Robots through Prediction in Unsupervised Feature Space.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Human-Like Hand Reaching by Motion Prediction Using Long Short-Term Memory.
Proceedings of the Social Robotics - 9th International Conference, 2017

Limiting the reconstruction capability of generative neural network using negative learning.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Text to image generative model using constrained embedding space mapping.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Deep reinforcement learning for high precision assembly tasks.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Knowledge Engine for Robots Using Ontology.
Proceedings of the 5th International Conference on Applied Computing and Information Technology, 2017

2016
Low-computation egocentric barcode detector for the blind.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Real-Time Barcode Detection in the Wild.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Structural inpainting of road patches for anomaly detection.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Real-time small obstacle detection on highways using compressive RBM road reconstruction.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

2014
Scalable Co-Simulation of Functional Models With Accurate Event Exchange.
Proceedings of the 51st Annual Design Automation Conference 2014, 2014

2013
arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU.
Proceedings of the Massively Parallel Evolutionary Computation on GPGPUs, 2013

On-time data exchange in fully-parallelized co-simulation with conservative synchronization.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

ISOMER: integrated selection, partitioning, and placement methodology for reconfigurable architectures.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2013

2011
A Framework for Cloud Embedded Web Services Utilized by Cloud Applications.
Proceedings of the World Congress on Services, 2011

Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Optimization of parallel Genetic Algorithms for nVidia GPUs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Advanced genetic algorithm to solve MINLP problems over GPU.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization.
Future Gener. Comput. Syst., 2010

A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2010

A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework.
Genet. Program. Evolvable Mach., 2009

Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm.
Proceedings of the 2009 International Conference on Parallel and Distributed Computing, 2009

2008
Parallel GEAs with Linkage Analysis over Grid.
Proceedings of the Linkage in Evolutionary Computation, 2008

A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications, 2008

Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications, 2008

SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes.
Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid 2008), Tsukuba, Japan, September 29, 2008

Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application.
Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid 2008), Tsukuba, Japan, September 29, 2008

A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving.
Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008

2007
MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing.
Proceedings of the Eighth International Conference on Parallel and Distributed Computing, 2007

A Framework of GRID Problem-Solving Environment Employing Robust Evolutionary Search.
Proceedings of the Computer Aided Systems Theory, 2007

Optimization problem solving framework employing GAs with linkage identification over a grid environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007


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