Sarath Chandar

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