Prasanna Parthasarathi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 39

Top Topics

Manually Constructed

Evaluation Metrics

Question Answering

Top Venues

EMNLP (Findings)

Publications

Abbas Ghaddar, David Alfonso-Hermelo, Philippe Langlais, Mehdi Rezagholizadeh, Boxing Chen, Prasanna Parthasarathi
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems. ACL (Findings) (2024)
Abbas Ghaddar, David Alfonso-Hermelo, Philippe Langlais, Mehdi Rezagholizadeh, Boxing Chen, Prasanna Parthasarathi
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems. CoRR (2024)
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar
Towards Practical Tool Usage for Continually Learning LLMs. CoRR (2024)
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 (2024)
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. ACL (1) (2024)
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)
Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar
EpiK-Eval: Evaluation for Language Models as Epistemic Models. EMNLP (2023)
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)
Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models. EMNLP (Findings) (2023)
Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models. CoRR (2023)
Ankur Agarwal, Mehdi Rezagholizadeh, Prasanna Parthasarathi
Practical Takes on Federated Learning with Pretrained Language Models. EACL (Findings) (2023)
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 (2023)
Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar
EpiK-Eval: Evaluation for Language Models as Epistemic Models. CoRR (2023)
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes. CoRR (2022)
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
Local Structure Matters Most: Perturbation Study in NLU. ACL (Findings) (2022)
Paul-Aymeric Martin McRae, Prasanna Parthasarathi, Mido Assran, Sarath Chandar
Memory Augmented Optimizers for Deep Learning. ICLR (2022)
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
Local Structure Matters Most in Most Languages. CoRR (2022)
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 (2022)
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes. EMNLP (Findings) (2022)
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
Local Structure Matters Most in Most Languages. AACL/IJCNLP (2) (2022)
Paul-Aymeric McRae, Prasanna Parthasarathi, Mahmoud Assran, Sarath Chandar
Memory Augmented Optimizers for Deep Learning. CoRR (2021)
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
Demystifying Neural Language Models' Insensitivity to Word-Order. CoRR (2021)
Prasanna Parthasarathi, Mohamed Abdelsalam, Joelle Pineau, Sarath Chandar
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss. CoRR (2021)
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ? CoRR (2021)
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
Sometimes We Want Translationese. CoRR (2021)
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task ? SIGDIAL (2021)
Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
UnNatural Language Inference. ACL/IJCNLP (1) (2021)
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
Sometimes We Want Ungrammatical Translations. EMNLP (Findings) (2021)
Prasanna Parthasarathi, Mohamed Abdelsalam, Sarath Chandar, Joelle Pineau
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss. SIGDIAL (2021)
Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
Unnatural Language Inference. CoRR (2021)
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
Learning an Unreferenced Metric for Online Dialogue Evaluation. ACL (2020)
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics. CoRR (2020)
Prasanna Parthasarathi, Sharan Narang, Arvind Neelakantan
On Task-Level Dialogue Composition of Generative Transformer Model. Insights (2020)
Prasanna Parthasarathi, Arvind Neelakantan, Sharan Narang
On Task-Level Dialogue Composition of Generative Transformer Model. CoRR (2020)
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
Learning an Unreferenced Metric for Online Dialogue Evaluation. CoRR (2020)
Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau
The RLLChatbot: a solution to the ConvAI challenge. CoRR (2018)
Prasanna Parthasarathi, Joelle Pineau
Extending Neural Generative Conversational Model using External Knowledge Sources. EMNLP (2018)
Prasanna Parthasarathi, Joelle Pineau
Extending Neural Generative Conversational Model using External Knowledge Sources. CoRR (2018)
Hoai Phuoc Truong, Prasanna Parthasarathi, Joelle Pineau
MACA: A Modular Architecture for Conversational Agents. SIGDIAL Conference (2017)