Prasanna Parthasarathi

According to our database, Prasanna Parthasarathi authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination.

Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Boxing Chen, Sarath Chandar

CoRR, 2024

Towards Practical Tool Usage for Continually Learning LLMs.

Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar

CoRR, 2024

Do Large Language Models Know How Much They Know?

Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models.

Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems.

Abbas Ghaddar, David Alfonso-Hermelo, Philippe Langlais, Mehdi Rezagholizadeh, Boxing Chen, Prasanna Parthasarathi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems.

Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games.

Arjun Vaithilingam Sudhakar, Prasanna Parthasarathi, Janarthanan Rajendran, Sarath Chandar

CoRR, 2023

EpiK-Eval: Evaluation for Language Models as Epistemic Models.

Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models.

Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Practical Takes on Federated Learning with Pretrained Language Models.

Ankur Agarwal, Mehdi Rezagholizadeh, Prasanna Parthasarathi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining.

Yassir El Mesbahi, Atif Mahmud, Abbas Ghaddar, Mehdi Rezagholizadeh, Philippe Langlais, Prasanna Parthasarathi

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness.

Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Local Structure Matters Most in Most Languages.

Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Memory Augmented Optimizers for Deep Learning.

Paul-Aymeric Martin McRae, Prasanna Parthasarathi, Mido Assran, Sarath Chandar

Proceedings of the Tenth International Conference on Learning Representations, 2022

Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes.

Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Local Structure Matters Most: Perturbation Study in NLU.

Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Demystifying Neural Language Models' Insensitivity to Word-Order.

Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar

CoRR, 2021

Memory Augmented Optimizers for Deep Learning.

Paul-Aymeric McRae, Prasanna Parthasarathi, Mahmoud Assran, Sarath Chandar

CoRR, 2021

Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ?

Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar

CoRR, 2021

Sometimes We Want Translationese.

Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams

CoRR, 2021

Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task ?

Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss.

Prasanna Parthasarathi, Mohamed A. Abdelsalam, Sarath Chandar, Joelle Pineau

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Sometimes We Want Ungrammatical Translations.

Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

UnNatural Language Inference.

Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics.

Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar

CoRR, 2020

Learning an Unreferenced Metric for Online Dialogue Evaluation.

Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

On Task-Level Dialogue Composition of Generative Transformer Model.

Prasanna Parthasarathi, Sharan Narang, Arvind Neelakantan

Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020

2018

The RLLChatbot: a solution to the ConvAI challenge.

Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau

CoRR, 2018

Extending Neural Generative Conversational Model using External Knowledge Sources.

Prasanna Parthasarathi, Joelle Pineau

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

MACA: A Modular Architecture for Conversational Agents.

Hoai Phuoc Truong, Prasanna Parthasarathi, Joelle Pineau

Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017