Rhitabrat Pokharel

pokharel [at] pdx.edu.

prof_pic.jpg

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 ūüé§ Presented a paper Generating Continuations in Multilingual Idiomatic Contexts as poster presentation at MRL 2023 (co-located with EMNLP) in Singapore. [Virtual]
Oct, 2023 ‚úćūüŹľ Generating Continuations in Multilingual Idiomatic Contexts accepted at MRL 2023 colocated with EMNLP.
Oct, 2023 ūüŹÜ Received SoBigData Award for Diversity and Inclusion from SoBigData++ Research Infrastructure.
Sep, 2023 ‚úćūüŹľ 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 ‚úÖ 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.