Karthik Narasimhan

Orcid: 0000-0001-9894-9983

Affiliations:
  • Princeton University, Department of Computer Science, NJ, USA
  • Massachusetts Institute of Technology (MIT), Cambridge, MA, USA (PhD 2017)


According to our database1, Karthik Narasimhan authored at least 85 papers between 1999 and 2024.

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Bibliography

2024
Language-Guided World Models: A Model-Based Approach to AI Control.
CoRR, 2024

2023
GEO: Generative Engine Optimization.
CoRR, 2023

QualEval: Qualitative Evaluation for Model Improvement.
CoRR, 2023

Progressively Efficient Learning.
CoRR, 2023

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
CoRR, 2023

FireAct: Toward Language Agent Fine-tuning.
CoRR, 2023

Cognitive Architectures for Language Agents.
CoRR, 2023

Scaling Laws for Imitation Learning in NetHack.
CoRR, 2023

COLLIE: Systematic Construction of Constrained Text Generation Tasks.
CoRR, 2023

InstructEval: Systematic Evaluation of Instruction Selection Methods.
CoRR, 2023

Referral Augmentation for Zero-Shot Information Retrieval.
CoRR, 2023

CSTS: Conditional Semantic Textual Similarity.
CoRR, 2023

Anthropomorphization of AI: Opportunities and Risks.
CoRR, 2023

Building Scalable Video Understanding Benchmarks through Sports.
CoRR, 2023

MUX-PLMs: Pre-training Language Models with Data Multiplexing.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Tree of Thoughts: Deliberate Problem Solving with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reflexion: language agents with verbal reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification.
Proceedings of the International Conference on Machine Learning, 2023

ReAct: Synergizing Reasoning and Acting in Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

MUX-PLMs: Data Multiplexing for High-throughput Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Toxicity in chatgpt: Analyzing persona-assigned language models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

C-STS: Conditional Semantic Textual Similarity.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PruMUX: Augmenting Data Multiplexing with Model Compression.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Controllable Text Generation with Language Constraints.
CoRR, 2022

SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers.
CoRR, 2022

ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training.
CoRR, 2022

Semantic Supervision: Enabling Generalization over Output Spaces.
CoRR, 2022

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Physics Constrained Dynamics Using Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DataMUX: Data Multiplexing for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Using natural language and program abstractions to instill human inductive biases in machines.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Can Rationalization Improve Robustness?
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems.
Proceedings of Machine Learning and Systems 2022, 2022

Linking Emergent and Natural Languages via Corpus Transfer.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Multi-Stage Episodic Control for Strategic Exploration in Text Games.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Multi-query Video Retrieval.
Proceedings of the Computer Vision - ECCV 2022, 2022

Leveraging Language for Accelerated Learning of Tool Manipulation.
Proceedings of the Conference on Robot Learning, 2022

CARETS: A Consistency And Robustness Evaluative Test Suite for VQA.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark.
CoRR, 2021

Revelio: ML-Generated Debugging Queries for Distributed Systems.
CoRR, 2021

Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning.
CoRR, 2021

SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Safe Reinforcement Learning with Natural Language Constraints.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Universal Adversarial Attacks with Natural Triggers for Text Classification.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies.
Proceedings of the 38th International Conference on Machine Learning, 2021

Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Self-Attention Networks Can Process Bounded Hierarchical Languages.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Improving Dialog Systems for Negotiation with Personality Modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Rewards From Linguistic Feedback.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information.
CoRR, 2020

Generating Strategic Dialogue for Negotiation with Theory of Mind.
CoRR, 2020

Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies.
CoRR, 2020

Robust and Interpretable Grounding of Spatial References with Relation Networks.
CoRR, 2020

Multimodal Graph Networks for Compositional Generalization in Visual Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Calibration, Entropy Rates, and Memory in Language Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Projection-Based Constrained Policy Optimization.
Proceedings of the 8th International Conference on Learning Representations, 2020

Keep CALM and Explore: Language Models for Action Generation in Text-based Games.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Robust and Interpretable Grounding of Spatial References with Relation Networks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Guiding Attention for Self-Supervised Learning with Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Towards Unique and Informative Captioning of Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Task-Agnostic Dynamics Priors for Deep Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

A System-Wide Debugging Assistant Powered by Natural Language Processing.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018
Representation Learning for Grounded Spatial Reasoning.
Trans. Assoc. Comput. Linguistics, 2018

Grounding Language for Transfer in Deep Reinforcement Learning.
J. Artif. Intell. Res., 2018

2017
Grounding natural language with autonomous interaction.
PhD thesis, 2017

Unsupervised Learning of Morphological Forests.
Trans. Assoc. Comput. Linguistics, 2017

Deep Transfer in Reinforcement Learning by Language Grounding.
CoRR, 2017

Constructing sub-word units for spoken term detection.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
sk_p: a neural program corrector for MOOCs.
Proceedings of the Companion Proceedings of the 2016 ACM SIGPLAN International Conference on Systems, 2016

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Nonparametric Spherical Topic Modeling with Word Embeddings.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
An Unsupervised Method for Uncovering Morphological Chains.
Trans. Assoc. Comput. Linguistics, 2015

JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Language Understanding for Text-based Games using Deep Reinforcement Learning.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Machine Comprehension with Discourse Relations.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Morphological Segmentation for Keyword Spotting.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

1999
Nonlinear dynamic modeling of the voiced excitation for improved speech synthesis.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999


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