Prasanna Parthasarathi

51 papers A* 7B 3Journal 27Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
InfMem: Learning System-2 Memory Control for Long-Context Agent.
CoRR
Xinyu Wang, Mingze Li, Peng Lu, Xiao-Wen Chang, Lifeng Shang, Jinping Li, Fei Mi, Prasanna Parthasarathi, Yufei Cui
2026 — conf
Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models.
EACL (Findings)
Michael R. Metel, Yufei Cui, Boxing Chen, Prasanna Parthasarathi
2026 J jnl
Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models.
CoRR
Michael R. Metel, Yufei Cui, Boxing Chen, Prasanna Parthasarathi
2025 — conf
CHARPEVAL: Benchmarking Large Language Models' Contextual Reasoning in Knowledge-Grounded Dialogue.
ACL (Findings)
Abbas Ghaddar, David Alfonso-Hermelo, Philippe Langlais, Boxing Chen, Prasanna Parthasarathi
2025 — conf
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination.
ACL (Findings)
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Boxing Chen, Sarath Chandar
2025 J jnl
GRPO-λ: Credit Assignment improves LLM Reasoning.
CoRR
Prasanna Parthasarathi, Mathieu Reymond, Boxing Chen, Yufei Cui, Sarath Chandar
2025 J jnl
Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts.
CoRR
Maxime Heuillet, Yufei Cui, Boxing Chen, Audrey Durand, Prasanna Parthasarathi
2025 J jnl
Resona: Improving Context Copying in Linear Recurrence Models with Retrieval.
CoRR
Xinyu Wang, Linrui Ma, Jerry Huang, Peng Lu, Prasanna Parthasarathi, Xiao-Wen Chang, Boxing Chen, Yufei Cui
2024 — conf
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems.
ACL (Findings)
Abbas Ghaddar, David Alfonso-Hermelo, Philippe Langlais, Mehdi Rezagholizadeh, Boxing Chen, Prasanna Parthasarathi
2024 J jnl
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems.
CoRR
Abbas Ghaddar, David Alfonso-Hermelo, Philippe Langlais, Mehdi Rezagholizadeh, Boxing Chen, Prasanna Parthasarathi
2024 A* conf
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models.
EMNLP
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar
2024 J jnl
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models.
CoRR
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar
2024 A* conf
Do Large Language Models Know How Much They Know?
EMNLP
Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar
2024 J jnl
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination.
CoRR
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Boxing Chen, Sarath Chandar
2024 — conf
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems.
ACL (1)
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
2024 J jnl
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems.
CoRR
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
2024 J jnl
Towards Practical Tool Usage for Continually Learning LLMs.
CoRR
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar
2023 A* conf
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness.
AAAI
Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar
2023 A* conf
EpiK-Eval: Evaluation for Language Models as Epistemic Models.
EMNLP
Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar
2023 J jnl
EpiK-Eval: Evaluation for Language Models as Epistemic Models.
CoRR
Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar
2023 J jnl
Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games.
CoRR
Arjun Vaithilingam Sudhakar, Prasanna Parthasarathi, Janarthanan Rajendran, Sarath Chandar
2023 — conf
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models.
EMNLP (Findings)
Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar
2023 J jnl
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models.
CoRR
Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar
2023 B conf
On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining.
CoNLL
Yassir El Mesbahi, Atif Mahmud, Abbas Ghaddar, Mehdi Rezagholizadeh, Philippe Langlais, Prasanna Parthasarathi
2023 — conf
Practical Takes on Federated Learning with Pretrained Language Models.
EACL (Findings)
Ankur Agarwal, Mehdi Rezagholizadeh, Prasanna Parthasarathi
2022 J jnl
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness.
CoRR
Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar
2022 — conf
Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes.
EMNLP (Findings)
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
2022 J jnl
Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes.
CoRR
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
2022 — conf
Local Structure Matters Most in Most Languages.
AACL/IJCNLP (2)
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
2022 J jnl
Local Structure Matters Most in Most Languages.
CoRR
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
2022 — conf
Local Structure Matters Most: Perturbation Study in NLU.
ACL (Findings)
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
2022 A* conf
Memory Augmented Optimizers for Deep Learning.
ICLR
Paul-Aymeric Martin McRae, Prasanna Parthasarathi, Mido Assran, Sarath Chandar
2021 B conf
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss.
SIGDIAL
Prasanna Parthasarathi, Mohamed A. Abdelsalam, Sarath Chandar, Joelle Pineau
2021 J jnl
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss.
CoRR
Prasanna Parthasarathi, Mohamed A. Abdelsalam, Joelle Pineau, Sarath Chandar
2021 J jnl
Demystifying Neural Language Models' Insensitivity to Word-Order.
CoRR
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
2021 J jnl
Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ?
CoRR
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
2021 B conf
Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task ?
SIGDIAL
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
2021 J jnl
Memory Augmented Optimizers for Deep Learning.
CoRR
Paul-Aymeric McRae, Prasanna Parthasarathi, Mahmoud Assran, Sarath Chandar
2021 J jnl
Sometimes We Want Translationese.
CoRR
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
2021 — conf
Sometimes We Want Ungrammatical Translations.
EMNLP (Findings)
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
2021 — conf
UnNatural Language Inference.
ACL/IJCNLP (1)
Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
2021 J jnl
Unnatural Language Inference.
CoRR
Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
2020 J jnl
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics.
CoRR
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
2020 A* conf
Learning an Unreferenced Metric for Online Dialogue Evaluation.
ACL
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
2020 J jnl
Learning an Unreferenced Metric for Online Dialogue Evaluation.
CoRR
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
2020 — conf
On Task-Level Dialogue Composition of Generative Transformer Model.
Insights
Prasanna Parthasarathi, Sharan Narang, Arvind Neelakantan
2020 J jnl
On Task-Level Dialogue Composition of Generative Transformer Model.
CoRR
Prasanna Parthasarathi, Arvind Neelakantan, Sharan Narang
2018 A* conf
Extending Neural Generative Conversational Model using External Knowledge Sources.
EMNLP
Prasanna Parthasarathi, Joelle Pineau
2018 J jnl
Extending Neural Generative Conversational Model using External Knowledge Sources.
CoRR
Prasanna Parthasarathi, Joelle Pineau
2018 J jnl
The RLLChatbot: a solution to the ConvAI challenge.
CoRR
Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau
2017 — conf
MACA: A Modular Architecture for Conversational Agents.
SIGDIAL Conference
Hoai Phuoc Truong, Prasanna Parthasarathi, Joelle Pineau