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Prasanna Parthasarathi
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Conference and Workshop Papers
- 2023
- [c17]Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar:
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. AAAI 2023: 14593-14601 - [c16]Yassir El Mesbahi, Atif Mahmud, Abbas Ghaddar, Mehdi Rezagholizadeh, Philippe Langlais, Prasanna Parthasarathi:
On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining. CoNLL 2023: 165-182 - [c15]Ankur Agarwal, Mehdi Rezagholizadeh, Prasanna Parthasarathi:
Practical Takes on Federated Learning with Pretrained Language Models. EACL (Findings) 2023: 454-471 - [c14]Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar:
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models. EMNLP (Findings) 2023: 4305-4319 - [c13]Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar:
EpiK-Eval: Evaluation for Language Models as Epistemic Models. EMNLP 2023: 9523-9557 - 2022
- [c12]Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
Local Structure Matters Most: Perturbation Study in NLU. ACL (Findings) 2022: 3712-3731 - [c11]Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes. EMNLP (Findings) 2022: 5375-5396 - [c10]Paul-Aymeric Martin McRae, Prasanna Parthasarathi, Mido Assran, Sarath Chandar:
Memory Augmented Optimizers for Deep Learning. ICLR 2022 - [c9]Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
Local Structure Matters Most in Most Languages. AACL/IJCNLP (2) 2022: 285-294 - 2021
- [c8]Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams:
UnNatural Language Inference. ACL/IJCNLP (1) 2021: 7329-7346 - [c7]Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams:
Sometimes We Want Ungrammatical Translations. EMNLP (Findings) 2021: 3205-3227 - [c6]Prasanna Parthasarathi, Mohamed A. Abdelsalam, Sarath Chandar, Joelle Pineau:
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss. SIGDIAL 2021: 469-476 - [c5]Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar:
Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task ? SIGDIAL 2021: 477-488 - 2020
- [c4]Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau:
Learning an Unreferenced Metric for Online Dialogue Evaluation. ACL 2020: 2430-2441 - [c3]Prasanna Parthasarathi, Sharan Narang, Arvind Neelakantan:
On Task-Level Dialogue Composition of Generative Transformer Model. Insights 2020: 41-47 - 2018
- [c2]Prasanna Parthasarathi, Joelle Pineau:
Extending Neural Generative Conversational Model using External Knowledge Sources. EMNLP 2018: 690-695 - 2017
- [c1]Hoai Phuoc Truong, Prasanna Parthasarathi, Joelle Pineau:
MACA: A Modular Architecture for Conversational Agents. SIGDIAL Conference 2017: 93-102
Informal and Other Publications
- 2024
- [i20]Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar:
Towards Practical Tool Usage for Continually Learning LLMs. CoRR abs/2404.09339 (2024) - [i19]Abbas Ghaddar, David Alfonso-Hermelo, Philippe Langlais, Mehdi Rezagholizadeh, Boxing Chen, Prasanna Parthasarathi:
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems. CoRR abs/2405.15110 (2024) - [i18]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:
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. CoRR abs/2406.10393 (2024) - 2023
- [i17]Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar:
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models. CoRR abs/2305.14775 (2023) - [i16]Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar:
EpiK-Eval: Evaluation for Language Models as Epistemic Models. CoRR abs/2310.15372 (2023) - [i15]Arjun Vaithilingam Sudhakar, Prasanna Parthasarathi, Janarthanan Rajendran, Sarath Chandar:
Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games. CoRR abs/2311.07687 (2023) - 2022
- [i14]Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes. CoRR abs/2211.05015 (2022) - [i13]Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
Local Structure Matters Most in Most Languages. CoRR abs/2211.05025 (2022) - [i12]Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar:
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. CoRR abs/2211.11109 (2022) - 2021
- [i11]Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams:
Unnatural Language Inference. CoRR abs/2101.00010 (2021) - [i10]Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams:
Sometimes We Want Translationese. CoRR abs/2104.07623 (2021) - [i9]Prasanna Parthasarathi, Mohamed A. Abdelsalam, Joelle Pineau, Sarath Chandar:
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss. CoRR abs/2106.10619 (2021) - [i8]Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar:
Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ? CoRR abs/2106.10622 (2021) - [i7]Paul-Aymeric McRae, Prasanna Parthasarathi, Mahmoud Assran, Sarath Chandar:
Memory Augmented Optimizers for Deep Learning. CoRR abs/2106.10708 (2021) - [i6]Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
Demystifying Neural Language Models' Insensitivity to Word-Order. CoRR abs/2107.13955 (2021) - 2020
- [i5]Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau:
Learning an Unreferenced Metric for Online Dialogue Evaluation. CoRR abs/2005.00583 (2020) - [i4]Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar:
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics. CoRR abs/2008.10427 (2020) - [i3]Prasanna Parthasarathi, Arvind Neelakantan, Sharan Narang:
On Task-Level Dialogue Composition of Generative Transformer Model. CoRR abs/2010.04826 (2020) - 2018
- [i2]Prasanna Parthasarathi, Joelle Pineau:
Extending Neural Generative Conversational Model using External Knowledge Sources. CoRR abs/1809.05524 (2018) - [i1]Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau:
The RLLChatbot: a solution to the ConvAI challenge. CoRR abs/1811.02714 (2018)
Coauthor Index
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