Harsh Jhamtani

According to our database1, Harsh Jhamtani authored at least 37 papers between 2014 and 2024.

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

Timeline

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Links

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Bibliography

2024
Steering Large Language Models between Code Execution and Textual Reasoning.
CoRR, 2024

Interpreting User Requests in the Context of Natural Language Standing Instructions.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Natural Language Decomposition and Interpretation of Complex Utterances.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Ontologically Faithful Generation of Non-Player Character Dialogues.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learning to Retrieve Iteratively for In-Context Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Language-to-Code Translation with a Single Labeled Example.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
SCREWS: A Modular Framework for Reasoning with Revisions.
CoRR, 2023

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Truth-Conditional Captioning of Time Series Data.
CoRR, 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.
CoRR, 2021

Formulating Neural Sentence Ordering as the Asymmetric Traveling Salesman Problem.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

Investigating Robustness of Dialog Models to Popular Figurative Language Constructs.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Truth-Conditional Captions for Time Series Data.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Narrative Text Generation with a Latent Discrete Plan.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Domain Adaptation via Context Prediction for Engineering Diagram Search.
Proceedings of the Advances in Information Retrieval, 2020

2019
Learning Rhyming Constraints using Structured Adversaries.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Learning to Describe Differences Between Pairs of Similar Images.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

SPINE: SParse Interpretable Neural Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models.
CoRR, 2017

Charmanteau: Character Embedding Models For Portmanteau Creation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Leveraging Site Search Logs to Identify Missing Content on Enterprise Webpages.
Proceedings of the Advances in Information Retrieval, 2017

Modeling End-of-Online-Session From Streaming Data.
Proceedings of the Fourth ACM IKDD Conferences on Data Sciences, 2017

Generating Appealing Brand Names.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

2016
Generating Multiple Diverse Summaries.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

A Supervised Approach for Text Illustration.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015
Identifying Suggestions for Improvement of Product Features from Online Product Reviews.
Proceedings of the Social Informatics - 7th International Conference, 2015

2014
Word-level Language Identification in Bi-lingual Code-switched Texts.
Proceedings of the 28th Pacific Asia Conference on Language, Information and Computation, 2014

Identifying Purchase Intent from Social Posts.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014


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