← Authors

Sarath Chandar

54 papers · 2016–2026 · 15 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (8) πŸƒ Academic Marathon (9) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ”₯ Unstoppable (7) ⚑ Prolific Year (7) ❓ The Questioner (6) πŸ—ƒοΈ Keyword Collector (206) πŸ“ˆ Trend Setter πŸ’Ž Century Club (52) πŸš€ Conference Pioneer

Conferences

ACL (12) EMNLP (9) AAAI (6) ICML (5) ICLR (4) IJCNLP (4) AACL (2) COLING (2) CVPR (2) NAACL (2) NIPS (2) EACL (1) ICCV (1) JMLR (1) UAI (1)

Top co-authors

Prasanna Parthasarathi (11) Amal Zouaq (9) Janarthanan Rajendran (8) Louis Clouatre (7) Gonçalo Mordido (5) Jerry Huang (5) Yoshua Bengio (4) Quentin Fournier (4) Gabriele Prato (4) Artem Zholus (3)

Keywords

large language model (10) language model (4) benchmark evaluation (3) lifelong learning (3) natural language understanding (3) model merging (3) continual learning (3) reinforcement learning (3) dialogue system (3) multilingual nlp (3) model pruning (2) multi-agent reinforcement learning (2) word order (2) model-based reinforcement learning (2) cross-lingual transfer (2) data augmentation (2) question answering (2) transfer learning (2) visual question answering (2) model compression (2)

Papers

Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning EACL 2026
Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs ACL 2025
Continual Learning in Large Language Models: Foundations to Frontiers IJCNLP 2025
A Generalist Hanabi Agent ICLR 2025
Small Encoders Can Rival Large Decoders in Detecting Groundedness ACL 2025
TAPNext: Tracking Any Point (TAP) as Next Token Prediction ICCV 2025
BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning AAAI 2025
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination ACL 2025
Continual Learning in Large Language Models: Foundations to Frontiers AACL 2025
Do Large Language Models Know How Much They Know? EMNLP 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale NIPS 2024
Fairness-Aware Structured Pruning in Transformers AAAI 2024
Lookbehind-SAM: k steps back, 1 step forward ICML 2024
Faithfulness Measurable Masked Language Models ICML 2024
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques ACL 2024
Why Don’t Prompt-Based Fairness Metrics Correlate? ACL 2024
Are self-explanations from Large Language Models faithful? ACL 2024
MVP: Minimal Viable Phrase for Long Text Understanding COLING 2024
Mastering Memory Tasks with World Models ICLR 2024
Intelligent Switching for Reset-Free RL ICLR 2024
Exploring Quantization for Efficient Pre-Training of Transformer Language Models EMNLP 2024
Self-Influence Guided Data Reweighting for Language Model Pre-training EMNLP 2023
EpiK-Eval: Evaluation for Language Models as Epistemic Models EMNLP 2023
An Empirical Investigation of the Role of Pre-training in Lifelong Learning JMLR 2023
Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning UAI 2023
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness AAAI 2023
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models EMNLP 2023
Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes EMNLP 2022
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks AAAI 2022
Local Structure Matters Most in Most Languages AACL 2022
Local Structure Matters Most: Perturbation Study in NLU ACL 2022
Memory Augmented Optimizers for Deep Learning ICLR 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods ICML 2022
Local Structure Matters Most in Most Languages IJCNLP 2022
A Survey of Data Augmentation Approaches for NLP IJCNLP 2021
MLMLM: Link Prediction with Mean Likelihood Masked Language Model IJCNLP 2021
IIRC: Incremental Implicitly-Refined Classification CVPR 2021
MLMLM: Link Prediction with Mean Likelihood Masked Language Model ACL 2021
A Survey of Data Augmentation Approaches for NLP ACL 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery AAAI 2021
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning NIPS 2020
Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning ICML 2020
Towards Lossless Encoding of Sentences ACL 2019
Structure Learning for Neural Module Networks EMNLP 2019
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies AAAI 2019
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study ACL 2019
Memory Augmented Neural Networks for Natural Language Processing EMNLP 2017
GuessWhat?! Visual Object Discovery Through Multi-Modal Dialogue CVPR 2017
Multilingual Multimodal Language Processing Using Neural Networks NAACL 2016
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning NAACL 2016
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation COLING 2016
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus ACL 2016