Sarath Chandar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
17
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning. | Jerry Huang, Peng Lu, Qiuhao Zeng, Yusuke Iwasawa, Yutaka Matsuo, Sarath Chandar, Edison Marrese-Taylor, Irene Li |
| 2025 | AAAI | BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning. | Artem Zholus, Maksim Kuznetsov, Roman Schutski, Rim Shayakhmetov, Daniil Polykovskiy, Sarath Chandar, Alex Zhavoronkov |
| 2025 | ACL | Small Encoders Can Rival Large Decoders in Detecting Groundedness. | Istabrak Abbes, Gabriele Prato, Quentin Fournier, Fernando Rodriguez, Alaa Boukhary, Adam Elwood, Sarath Chandar |
| 2025 | ACL | 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 |
| 2025 | ACL | Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs. | Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar |
| 2025 | ICCV | Tapnext: Tracking Any Point (Tap) as Next Token Prediction. | Artem Zholus, Carl Doersch, Yi Yang, Skanda Koppula, Viorica Patraucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, Sarath Chandar, Ross Goroshin |
| 2025 | ICLR | A Generalist Hanabi Agent. | Arjun Vaithilingam Sudhakar, Hadi Nekoei, Mathieu Reymond, Miao Liu, Janarthanan Rajendran, Sarath Chandar |
| 2024 | AAAI | Fairness-Aware Structured Pruning in Transformers. | Abdelrahman Zayed, Gonalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar |
| 2024 | ACL | Are self-explanations from Large Language Models faithful? | Andreas Madsen, Sarath Chandar, Siva Reddy |
| 2024 | ACL | A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques. | Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar |
| 2024 | ACL | Why Don't Prompt-Based Fairness Metrics Correlate? | Abdelrahman Zayed, Gonalo Mordido, Ioana Baldini, Sarath Chandar |
| 2024 | ACSSC | Sharpness-Aware Minimization Scaled by Outlier Normalization for Robust DNNs on In-Memory Computing Accelerators. | Sbastien Henwood, Gonalo Mordido, Yvon Savaria, Sarath Chandar, Franois Leduc-Primeau |
| 2024 | COLING | MVP: Minimal Viable Phrase for Long Text Understanding. | Louis Cloutre, Amal Zouaq, Sarath Chandar |
| 2024 | EMNLP | Exploring Quantization for Efficient Pre-Training of Transformer Language Models. | Kamran Chitsaz, Quentin Fournier, Gonalo Mordido, Sarath Chandar |
| 2024 | EMNLP | Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models. | Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar |
| 2024 | EMNLP | Do Large Language Models Know How Much They Know? | Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar |
| 2024 | ICLR | Intelligent Switching for Reset-Free RL. | Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar |
| 2024 | ICLR | Mastering Memory Tasks with World Models. | Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar |
| 2024 | ICML | Faithfulness Measurable Masked Language Models. | Andreas Madsen, Siva Reddy, Sarath Chandar |
| 2024 | ICML | Lookbehind-SAM: k steps back, 1 step forward. | Gonalo Mordido, Pranshu Malviya, Aristide Baratin, Sarath Chandar |
| 2024 | ICSE | On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction. | Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, Mojtaba Faramarzi, Sarath Chandar, Bram Adams |
| 2023 | AAAI | Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. | Abdelrahman Zayed, Prasanna Parthasarathi, Gonalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar |
| 2023 | EMNLP | Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models. | Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar |
| 2023 | EMNLP | EpiK-Eval: Evaluation for Language Models as Epistemic Models. | Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar |
| 2023 | EMNLP | Self-Influence Guided Data Reweighting for Language Model Pre-training. | Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar |
| 2023 | UAI | Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning. | Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran |
| 2022 | AAAI | PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks. | Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar |
| 2022 | ACL | Local Structure Matters Most: Perturbation Study in NLU. | Louis Cloutre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar |
| 2022 | CP | Combining Reinforcement Learning and Constraint Programming for Sequence-Generation Tasks with Hard Constraints. | Daphn Lafleur, Sarath Chandar, Gilles Pesant |
| 2022 | EMNLP | Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes. | Louis Cloutre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar |
| 2022 | ICLR | Memory Augmented Optimizers for Deep Learning. | Paul-Aymeric Martin McRae, Prasanna Parthasarathi, Mido Assran, Sarath Chandar |
| 2022 | ICML | Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods. | Yi Wan, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen |
| 2022 | IJCNLP | Local Structure Matters Most in Most Languages. | Louis Cloutre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar |
| 2021 | AAAI | Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery. | Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor, Sarath Chandar |
| 2021 | ACL | MLMLM: Link Prediction with Mean Likelihood Masked Language Model. | Louis Cloutre, Philippe Trempe, Amal Zouaq, Sarath Chandar |
| 2021 | ACL | A Survey of Data Augmentation Approaches for NLP. | Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard H. Hovy |
| 2021 | CVPR | IIRC: Incremental Implicitly-Refined Classification. | Mohamed A. Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar |
| 2021 | ICML | Continuous Coordination As a Realistic Scenario for Lifelong Learning. | Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron C. Courville, Sarath Chandar |
| 2021 | SIGdial | A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss. | Prasanna Parthasarathi, Mohamed A. Abdelsalam, Sarath Chandar, Joelle Pineau |
| 2021 | SIGdial | Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task ? | Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar |
| 2020 | ICML | Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. | Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Simon Blackburn, Karam M. J. Thomas, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio |
| 2019 | AAAI | Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. | Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio |
| 2019 | ACL | Towards Lossless Encoding of Sentences. | Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp |
| 2019 | ACL | Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. | Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio |
| 2019 | EMNLP | Structure Learning for Neural Module Networks. | Vardaan Pahuja, Jie Fu, Sarath Chandar, Christopher Joseph Pal |
| 2019 | SDM | Edge Replacement Grammars : A Formal Language Approach for Generating Graphs. | Revanth Reddy, Sarath Chandar, Balaraman Ravindran |
| 2018 | AAAI | Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. | Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar |
| 2017 | CVPR | GuessWhat?! Visual Object Discovery through Multi-modal Dialogue. | Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville |
| 2016 | ACL | Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. | Iulian Vlad Serban, Alberto Garca-Durn, aglar Glehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio |
| 2016 | COLING | A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. | Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho |
| 2016 | NAACL | Multilingual Multimodal Language Processing Using Neural Networks. | Mitesh M. Khapra, Sarath Chandar |
| 2016 | NAACL | Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. | Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran |