Maharshi Gor
NLP Researcher | Engineer
I am a fourth year Computer Science PhD student at the University of Maryland, College Park, advised by Tianyi Zhou and Jordan Boyd-Graber. I am also a member of the Computational Linguistics and Information Processing (CLIP) Lab at UMIACS.
My interests span across the areas of Natural Language Understanding and Information Retrieval, with a focus on Question Answering (QA), Interpretability, and Collaborative Agents. Currently, my research is concentrated in two primary areas:
- Analyzing Large Language Model (LLM)-based agents in terms of their skills and knowledge, alongside the complexity of questions, to curate a minimal yet comprehensive set for profiling agents within a Mixture of Experts (MoE) framework.
- Developing (Retrieval) Augmented Language Models that are both aware of their environment and their parametric knowledge to ensure reliable and useful output generation.
I’ve spent some time working at Google Research where I collaborated with Brain and several Language Research teams, with focus on Model Interpretation and Analysis for Question Answering, Semi-Structured Text Understanding and Retrieval-augmented Language models for long-context understanding.
In the past, I have also worked on some of the Computer vision and Machine Learning problems like Human motion sequence modeling, Generative and Representation Learning and Adversarial Machine Learning.
In my free time, I like to engage in social deception board games. I also very much like to play Magic the Gathering :)
UMD Students enrolled in CMSC 420 can book appointments for my TA office hours here.
🗞️ News
Nov 14, 2024 | I was recognized as an Outstanding Reviewer at EMNLP 2024 🌴. |
---|---|
Nov 1, 2024 | New preprint on Item Response Theory based metric—AdvScore, for evaluating human-grounded adversarialness. |
Sep 21, 2024 | Long paper on Human-AI Complementarity Analysis in Question Answering accepted at EMNLP 2024 (Main). |
Jun 15, 2024 | I am spending my summer at Contextual.ai as ML Research Intern, working on Multi-aspect Dense Retrievers. |
Dec 25, 2023 | I was awarded MS in Computer Science from the University of Maryland, College Park. |