Palash Goyal

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 53

Top Topics

Language Generation

Graph Embedding

Temporal Coherence

Team Composition

Top Venues

Knowl. Based Syst.

Publications

Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
The steerability of large language models toward data-driven personas. NAACL-HLT (2024)
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR (2023)
Qian Hu, Palash Goyal, Rahul Gupta
Faithful Model Evaluation for Model-Based Metrics. EMNLP (2023)
Palash Goyal, Qian Hu, Rahul Gupta
Faithful Model Evaluation for Model-Based Metrics. CoRR (2023)
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. CoRR (2023)
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. CoRR (2023)
Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
On the steerability of large language models toward data-driven personas. CoRR (2023)
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
FLIRT: Feedback Loop In-context Red Teaming. CoRR (2023)
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. FAccT (2023)
Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan
Incorporating Fairness in Large Scale NLU Systems. WSDM (2023)
Marko Orescanin, Leslie N. Smith, Saurabh Sahu, Palash Goyal, Sujit Rokka Chhetri
Editorial: Deep learning with limited labeled data for vision, audio, and text. Frontiers Artif. Intell. 6 (2023)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) (2023)
Saurabh Sahu, Palash Goyal
Leveraging Local Temporal Information for Multimodal Scene Classification. ICASSP (2022)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. CoRR (2022)
Divya Choudhary, Palash Goyal, Saurabh Sahu
Can't Fool Me: Adversarially Robust Transformer for Video Understanding. CoRR (2021)
Shih-Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque
Pykg2vec: A Python Library for Knowledge Graph Embedding. J. Mach. Learn. Res. 22 (2021)
Saurabh Sahu, Palash Goyal
Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training. CoRR (2021)
Palash Goyal, Divya Choudhary, Shalini Ghosh
Hierarchical Class-Based Curriculum Loss. IJCAI (2021)
Saurabh Sahu, Palash Goyal
Leveraging Local Temporal Information for Multimodal Scene Classification. CoRR (2021)
Arquimedes Canedo, Palash Goyal, Di Huang, Amit Pandey, Gustavo Quiros
ArduCode: Predictive Framework for Automation Engineering. IEEE Trans Autom. Sci. Eng. 18 (3) (2021)
Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee
Cross-modal Learning for Multi-modal Video Categorization. CoRR (2020)
Palash Goyal, Sachin Raja, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Ajoy Mondal, Jaya Shree, C. V. Jawahar
Graph Representation Ensemble Learning. ASONAM (2020)
Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. AAAI (2020)
Palash Goyal
Graph embedding algorithms for attributed and temporal graphs. SIGWEB Newsl. 2020 (Spring) (2020)
Palash Goyal, Shalini Ghosh
Hierarchical Class-Based Curriculum Loss. CoRR (2020)
Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee
Exploiting Temporal Coherence for Multi-modal Video Categorization. CoRR (2020)
Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo
dyngraph2vec: Capturing network dynamics using dynamic graph representation learning. Knowl. Based Syst. 187 (2020)
Saurabh Sahu, Palash Goyal, Shalini Ghosh, Chul Lee
Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models. ACM Multimedia (2020)
Arquimedes Canedo, Palash Goyal, Di Huang, Amit Pandey
ArduCode: Predictive Framework for Automation Engineering. CoRR (2019)
Palash Goyal, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Jaya Shree, Evan Patterson
Graph Representation Ensemble Learning. CoRR (2019)
Palash Goyal, Di Huang, Ankita Goswami, Sujit Rokka Chhetri, Arquimedes Canedo, Emilio Ferrara
Benchmarks for Graph Embedding Evaluation. CoRR (2019)
Sujit Rokka Chhetri, Palash Goyal, Arquimedes Canedo
Tracking Temporal Evolution of Graphs using Non-Timestamped Data. HT (2019)
Sujit Rokka Chhetri, Palash Goyal, Arquimedes Canedo
Tracking Temporal Evolution of Graphs using Non-Timestamped Data. CoRR (2019)
Anna Sapienza, Palash Goyal, Emilio Ferrara
Deep Neural Networks for Optimal Team Composition. Frontiers Big Data 2 (2019)
Shih-Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque
Pykg2vec: A Python Library for Knowledge Graph Embedding. CoRR (2019)
Sahil Garg, Guillermo A. Cecchi, Irina Rish, Shuyang Gao, Greg Ver Steeg, Sarik Ghazarian, Palash Goyal, Aram Galstyan
Dialogue Modeling Via Hash Functions. LaCATODA@IJCAI (2018)
Palash Goyal, Anna Sapienza, Emilio Ferrara
Recommending Teammates with Deep Neural Networks. HT (2018)
Palash Goyal, Sujit Rokka Chhetri, Ninareh Mehrabi, Emilio Ferrara, Arquimedes Canedo
DynamicGEM: A Library for Dynamic Graph Embedding Methods. CoRR (2018)
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan
Embedding Networks with Edge Attributes. HT (2018)
Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning. CoRR (2018)
Anna Sapienza, Palash Goyal, Emilio Ferrara
Deep Neural Networks for Optimal Team Composition. CoRR (2018)
Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman
DarkEmbed: Exploit Prediction With Neural Language Models. AAAI (2018)
Elaheh Momeni, Shanika Karunasekera, Palash Goyal, Kristina Lerman
Modeling Evolution of Topics in Large-Scale Temporal Text Corpora. ICWSM (2018)
Palash Goyal, K. S. M. Tozammel Hossain, Ashok Deb, Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman
Discovering Signals from Web Sources to Predict Cyber Attacks. CoRR (2018)
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan
Capturing Edge Attributes via Network Embedding. IEEE Trans. Comput. Soc. Syst. 5 (4) (2018)
Palash Goyal, Emilio Ferrara
GEM: A Python package for graph embedding methods. J. Open Source Softw. 3 (29) (2018)
Palash Goyal, Emilio Ferrara
Graph embedding techniques, applications, and performance: A survey. Knowl. Based Syst. 151 (2018)
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan
Capturing Edge Attributes via Network Embedding. CoRR (2018)
Jiang Wan, Blake S. Pollard, Sujit Rokka Chhetri, Palash Goyal, Mohammad Abdullah Al Faruque, Arquimedes Canedo
Future Automation Engineering using Structural Graph Convolutional Neural Networks. CoRR (2018)
Palash Goyal, Nitin Kamra, Xinran He, Yan Liu
DynGEM: Deep Embedding Method for Dynamic Graphs. CoRR (2018)
Palash Goyal, Emilio Ferrara
Graph Embedding Techniques, Applications, and Performance: A Survey. CoRR (2017)
Chung Ming Cheung, Palash Goyal, Viktor K. Prasanna, Arash Saber Tehrani
OReONet: Deep convolutional network for oil reservoir optimization. IEEE BigData (2017)
Tanwi Mallick, Palash Goyal, Partha Pratim Das, Arun Kumar Majumdar
Facial Emotion Recognition from Kinect Data - An Appraisal of Kinect Face Tracking Library. VISIGRAPP (4: VISAPP) (2016)