Lajanugen Logeswaran

According to our database1, Lajanugen Logeswaran authored at least 27 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents.
CoRR, 2024

2023
Code Models are Zero-shot Precondition Reasoners.
CoRR, 2023

MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning.
CoRR, 2023

Exploring Demonstration Ensembling for In-context Learning.
CoRR, 2023

Discriminator-Guided Multi-step Reasoning with Language Models.
CoRR, 2023

Multimodal Subtask Graph Generation from Instructional Videos.
CoRR, 2023

Exploring the Benefits of Training Expert Language Models over Instruction Tuning.
Proceedings of the International Conference on Machine Learning, 2023

Merging Generated and Retrieved Knowledge for Open-Domain QA.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TOD-Flow: Modeling the Structure of Task-Oriented Dialogues.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Picture is Worth a Thousand Words: Language Models Plan from Pixels.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GRACE: Discriminator-Guided Chain-of-Thought Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Unsupervised Task Graph Generation from Instructional Video Transcripts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Few-shot Reranking for Multi-hop QA via Language Model Prompting.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Knowledge Unlearning for Mitigating Privacy Risks in Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning Compositional Tasks from Language Instructions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA.
CoRR, 2022

Few-shot Subgoal Planning with Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Sample-efficient Learning and Generalization with Text Representations.
PhD thesis, 2021

2020
Few-shot Sequence Learning with Transformers.
CoRR, 2020

2019
Zero-Shot Entity Linking by Reading Entity Descriptions.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Content preserving text generation with attribute controls.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

An efficient framework for learning sentence representations.
Proceedings of the 6th International Conference on Learning Representations, 2018

Sentence Ordering and Coherence Modeling using Recurrent Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
Sentence Ordering using Recurrent Neural Networks.
CoRR, 2016

Generative Adversarial Text to Image Synthesis.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Performance, Resource, and Cost Aware Resource Provisioning in the Cloud.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2014
Solving Jigsaw Puzzles using Paths and Cycles.
Proceedings of the British Machine Vision Conference, 2014


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