Palash Goyal

72 papers A* 9A 2B 1Misc 1Journal 47Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review.
CoRR
Palash Goyal, Mihir Parmar, Yiwen Song, Hamid Palangi, Tomas Pfister, Jinsung Yoon
2026 J jnl
Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models.
Trans. Mach. Learn. Res.
Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Yiwen Song, Long T. Le, Lesly Miculicich, Jinsung Yoon, Rui Zhang, Hamid Palangi, Tomas Pfister
2025 J jnl
HEART: Emotionally-driven test-time scaling of Language Models.
CoRR
Gabriela Pinto, Palash Goyal, Yiwen Song, Souradip Chakraborty, Zifeng Wang, Tomas Pfister, Hamid Palangi
2025 J jnl
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems.
CoRR
Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister
2025 J jnl
Judging with Confidence: Calibrating Autoraters to Preference Distributions.
CoRR
Zhuohang Li, Xiaowei Li, Chengyu Huang, Guowang Li, Katayoon Goshvadi, Bo Dai, Dale Schuurmans, Paul Zhou, Hamid Palangi, Yiwen Song, Palash Goyal, Murat Kantarcioglu, Bradley A. Malin, Yuan Xue
2025 J jnl
LLM-based Multi-Agent Blackboard System for Information Discovery in Data Science.
CoRR
Alireza Salemi, Mihir Parmar, Palash Goyal, Yiwen Song, Jinsung Yoon, Hamed Zamani, Hamid Palangi, Tomas Pfister
2025 A* conf
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving.
EMNLP
Mihir Parmar, Palash Goyal, Xin Liu, Yiwen Song, Mingyang Ling, Chitta Baral, Hamid Palangi, Tomas Pfister
2025 J jnl
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving.
CoRR
Mihir Parmar, Palash Goyal, Xin Liu, Yiwen Song, Mingyang Ling, Chitta Baral, Hamid Palangi, Tomas Pfister
2025 A* conf
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving.
EMNLP
Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long T. Le, Swaroop Mishra, Hossein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi
2025 J jnl
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving.
CoRR
Mihir Parmar, Xin Liu, Palash Goyal, Yanfei Chen, Long T. Le, Swaroop Mishra, Hossein Mobahi, Jindong Gu, Zifeng Wang, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi
2025 J jnl
Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models.
CoRR
Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Yiwen Song, Long T. Le, Lesly Miculicich, Jinsung Yoon, Rui Zhang, Hamid Palangi, Tomas Pfister
2025 J jnl
Watch and Learn: Learning to Use Computers from Online Videos.
CoRR
Chan Hee Song, Yiwen Song, Palash Goyal, Yu Su, Oriana Riva, Hamid Palangi, Tomas Pfister
2024 — conf
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.
EMNLP (Findings)
Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
2024 J jnl
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.
CoRR
Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
2024 A* conf
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models.
EMNLP
Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024 J jnl
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models.
CoRR
Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024 A* conf
FLIRT: Feedback Loop In-context Red Teaming.
EMNLP
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2024 — conf
MICo: Preventative Detoxification of Large Language Models through Inhibition Control.
NAACL-HLT (Findings)
Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan
2024 — conf
The steerability of large language models toward data-driven personas.
NAACL-HLT
Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2024 — conf
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies.
NAACL-HLT (Findings)
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta
2023 — conf
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.
FAccT
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023 J jnl
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.
CoRR
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023 J jnl
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity.
CoRR
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2023 J jnl
Editorial: Deep learning with limited labeled data for vision, audio, and text.
Frontiers Artif. Intell.
Marko Orescanin, Leslie N. Smith, Saurabh Sahu, Palash Goyal, Sujit Rokka Chhetri
2023 J jnl
FLIRT: Feedback Loop In-context Red Teaming.
CoRR
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2023 A* conf
Faithful Model Evaluation for Model-Based Metrics.
EMNLP
Qian Hu, Palash Goyal, Rahul Gupta
2023 J jnl
Faithful Model Evaluation for Model-Based Metrics.
CoRR
Palash Goyal, Qian Hu, Rahul Gupta
2023 A conf
Incorporating Fairness in Large Scale NLU Systems.
WSDM
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
2023 J jnl
JAB: Joint Adversarial Prompting and Belief Augmentation.
CoRR
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2023 J jnl
On the steerability of large language models toward data-driven personas.
CoRR
Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023 — conf
Resolving Ambiguities in Text-to-Image Generative Models.
ACL (1)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2022 J jnl
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models.
CoRR
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2022 Misc conf
Leveraging Local Temporal Information for Multimodal Scene Classification.
ICASSP
Saurabh Sahu, Palash Goyal
2021 J jnl
ArduCode: Predictive Framework for Automation Engineering.
IEEE Trans Autom. Sci. Eng.
Arquimedes Canedo, Palash Goyal, Di Huang, Amit Pandey, Gustavo Quiros Araya
2021 J jnl
Can't Fool Me: Adversarially Robust Transformer for Video Understanding.
CoRR
Divya Choudhary, Palash Goyal, Saurabh Sahu
2021 J jnl
Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training.
CoRR
Saurabh Sahu, Palash Goyal
2021 A* conf
Hierarchical Class-Based Curriculum Loss.
IJCAI
Palash Goyal, Divya Choudhary, Shalini Ghosh
2021 J jnl
Leveraging Local Temporal Information for Multimodal Scene Classification.
CoRR
Saurabh Sahu, Palash Goyal
2021 J jnl
Pykg2vec: A Python Library for Knowledge Graph Embedding.
J. Mach. Learn. Res.
Shih-Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque
2020 J jnl
Cross-modal Learning for Multi-modal Video Categorization.
CoRR
Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee
2020 A* conf
Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models.
ACM Multimedia
Saurabh Sahu, Palash Goyal, Shalini Ghosh, Chul Lee
2020 J jnl
Exploiting Temporal Coherence for Multi-modal Video Categorization.
CoRR
Palash Goyal, Saurabh Sahu, Shalini Ghosh, Chul Lee
2020 B conf
Graph Representation Ensemble Learning.
ASONAM
Palash Goyal, Sachin Raja, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Ajoy Mondal, Jaya Shree, C. V. Jawahar
2020 J jnl
Graph embedding algorithms for attributed and temporal graphs.
SIGWEB Newsl.
Palash Goyal
2020 J jnl
Hierarchical Class-Based Curriculum Loss.
CoRR
Palash Goyal, Shalini Ghosh
2020 A* conf
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach.
AAAI
Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan
2020 J jnl
dyngraph2vec: Capturing network dynamics using dynamic graph representation learning.
Knowl. Based Syst.
Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo
2019 J jnl
ArduCode: Predictive Framework for Automation Engineering.
CoRR
Arquimedes Canedo, Palash Goyal, Di Huang, Amit Pandey
2019 J jnl
Benchmarks for Graph Embedding Evaluation.
CoRR
Palash Goyal, Di Huang, Ankita Goswami, Sujit Rokka Chhetri, Arquimedes Canedo, Emilio Ferrara
2019 J jnl
Deep Neural Networks for Optimal Team Composition.
Frontiers Big Data
Anna Sapienza, Palash Goyal, Emilio Ferrara
2019 J jnl
Graph Representation Ensemble Learning.
CoRR
Palash Goyal, Di Huang, Sujit Rokka Chhetri, Arquimedes Canedo, Jaya Shree, Evan Patterson
2019 J jnl
Pykg2vec: A Python Library for Knowledge Graph Embedding.
CoRR
Shih-Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque
2019 — conf
Tracking Temporal Evolution of Graphs using Non-Timestamped Data.
HT
Sujit Rokka Chhetri, Palash Goyal, Arquimedes Canedo
2019 J jnl
Tracking Temporal Evolution of Graphs using Non-Timestamped Data.
CoRR
Sujit Rokka Chhetri, Palash Goyal, Arquimedes Canedo
2018 J jnl
Capturing Edge Attributes via Network Embedding.
CoRR
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan
2018 J jnl
Capturing Edge Attributes via Network Embedding.
IEEE Trans. Comput. Soc. Syst.
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan
2018 A* conf
DarkEmbed: Exploit Prediction With Neural Language Models.
AAAI
Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman
2018 J jnl
Deep Neural Networks for Optimal Team Composition.
CoRR
Anna Sapienza, Palash Goyal, Emilio Ferrara
2018 — conf
Dialogue Modeling Via Hash Functions.
LaCATODA@IJCAI
Sahil Garg, Guillermo A. Cecchi, Irina Rish, Shuyang Gao, Greg Ver Steeg, Sarik Ghazarian, Palash Goyal, Aram Galstyan
2018 J jnl
Discovering Signals from Web Sources to Predict Cyber Attacks.
CoRR
Palash Goyal, K. S. M. Tozammel Hossain, Ashok Deb, Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman
2018 J jnl
DynGEM: Deep Embedding Method for Dynamic Graphs.
CoRR
Palash Goyal, Nitin Kamra, Xinran He, Yan Liu
2018 J jnl
DynamicGEM: A Library for Dynamic Graph Embedding Methods.
CoRR
Palash Goyal, Sujit Rokka Chhetri, Ninareh Mehrabi, Emilio Ferrara, Arquimedes Canedo
2018 — conf
Embedding Networks with Edge Attributes.
HT
Palash Goyal, Homa Hosseinmardi, Emilio Ferrara, Aram Galstyan
2018 J jnl
Future Automation Engineering using Structural Graph Convolutional Neural Networks.
CoRR
Jiang Wan, Blake S. Pollard, Sujit Rokka Chhetri, Palash Goyal, Mohammad Abdullah Al Faruque, Arquimedes Canedo
2018 J jnl
GEM: A Python package for graph embedding methods.
J. Open Source Softw.
Palash Goyal, Emilio Ferrara
2018 J jnl
Graph embedding techniques, applications, and performance: A survey.
Knowl. Based Syst.
Palash Goyal, Emilio Ferrara
2018 A conf
Modeling Evolution of Topics in Large-Scale Temporal Text Corpora.
ICWSM
Elaheh Momeni, Shanika Karunasekera, Palash Goyal, Kristina Lerman
2018 — conf
Recommending Teammates with Deep Neural Networks.
HT
Palash Goyal, Anna Sapienza, Emilio Ferrara
2018 J jnl
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning.
CoRR
Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo
2017 J jnl
Graph Embedding Techniques, Applications, and Performance: A Survey.
CoRR
Palash Goyal, Emilio Ferrara
2017 — conf
OReONet: Deep convolutional network for oil reservoir optimization.
IEEE BigData
Chung Ming Cheung, Palash Goyal, Viktor K. Prasanna, Arash Saber Tehrani
2016 — conf
Facial Emotion Recognition from Kinect Data - An Appraisal of Kinect Face Tracking Library.
VISIGRAPP (4: VISAPP)
Tanwi Mallick, Palash Goyal, Partha Pratim Das, Arun Kumar Majumdar