Rhitabrat Pokharel

pokharel [at] pdx.edu.

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I am a PhD Student in Computer Science (Natural Language Processing) at Portland State University, under the guidance of Dr. Ameeta Agrawal (PortNLP Lab). Currently, I am working on large language models (LLMs) and low resource languages.

I am open to collaboration on topics related to low-resource languages, machine translation (MT), MT post-editing (MTPE), idiomaticity, multi-word expressions, social media information extraction or anything pertaining to NLP and ML. I am in the job market for Research Internship for the summer of 2024.

Latest News

Dec, 2023 🎤 Presented a paper Generating Continuations in Multilingual Idiomatic Contexts as poster presentation at MRL 2023 (co-located with EMNLP) in Singapore. [Virtual]
Oct, 2023 ✍🏼 Generating Continuations in Multilingual Idiomatic Contexts accepted at MRL 2023 colocated with EMNLP.
Oct, 2023 🏆 Received SoBigData Award for Diversity and Inclusion from SoBigData++ Research Infrastructure.
Sep, 2023 ✍🏼 A paper titled All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration accepted at DSAA 2023, IEEE.
Jun, 2023 ✅ Successfully completed my RPE (Research Proficiency Exam).

Publications

  1. Generating Continuations in Multilingual Idiomatic Contexts
    Rhitabrat Pokharel, and Ameeta Agrawal
    In Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL), 2023
  2. All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration
    Ameeta Agrawal, Lisa Singh, Elizabeth Jacobs, and 4 more authors
    In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), 2023
  3. Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples
    Rhitabrat Pokharel, and Ameeta Agrawal
    In Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), 2023
  4. Machine Learning Predictions of Electricity Capacity
    Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, and 3 more authors
    Energies, 2023
  5. Data From: Machine Learning Predictions of Electricity Capacity
    Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, and 3 more authors
    2022
  6. Classifying YouTube Comments Based on Sentiment and Type of Sentence
    Rhitabrat Pokharel, and Dixit Bhatta
    arXiv preprint arXiv:2111.01908, 2021
  7. A survey on secure routing protocols based on trust management in IoT
    Rhitabrat Pokharel, Sarthak Agarwal, Aanchal Khatri, and 1 more author
    International Journal of Advanced Studies of Scientific Research, 2018

Seminars and Talks

[Conference Poster Presentation] -- Generating Continuations in Multilingual Idiomatic Contexts, MRL [EMNLP], 2023. [Virtual]

[Conference Presentation] -- Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples, *SEM [ACL], 2023. [In Person]

[Conference Poster Presentation] -- Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples, *SEM [ACL], 2023. [In Person]

Professional Services

[Sub-reviewer] -- ACL, EMNLP, NAACL, ARR -- 2022, 2023.
[Reviewer] -- Undergraduate Students Scholarship Applications at Portland State University -- 2022.
[Co-Founder] -- MRFOSS Club (a club for open source software initiatives) -- 2018.