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AmirAbaskohi/README.md

Hi, I’m Amirhossein Abaskohi 👋

PhD Student @ UBC · Researcher in Agents, Reasoning, and Language Systems


About Me

I’m Amirhossein Abaskohi, a Computer Science PhD student at the University of British Columbia.

I love working on systems that can research, reason, collaborate, and act over complex information. My current interests include deep research agents, computer-use agents, multi-agent systems, long-document reasoning, LLM interpretability, multimodal models, and world models.


Research Interests

  • Deep research agents
  • Computer-use agents
  • Multi-agent systems
  • Long-document reasoning
  • Interpretability of LLMs
  • Multimodal models
  • World models

Pinned Loading

  1. LM-CPPF LM-CPPF Public

    The official implementation of the ACL 2023 paper, "Paraphrasing-Guided Data Augmentation for Contrastive Prompt-based Few-shot Fine-tuning".

    Python 11 3

  2. CEMTM CEMTM Public

    A novel multimodal topic modeling framework that leverages Vision-Language Models (VLMs) to discover coherent topics from documents containing both text and images.

    Python 5

  3. ServiceNow/AgentAda ServiceNow/AgentAda Public

    Agent ADA is a comprehensive evaluation and data analytics framework focused on insights generation and skills assessment.

    Jupyter Notebook 15 5

  4. ServiceNow/drbench ServiceNow/drbench Public

    An enterprise deep research benchmark

    Python 40 7

  5. SproutRAG SproutRAG Public

    SproutRAG is a retrieval-augmented generation stack built for structured, multi-granularity evidence. It combines hierarchical attention-based indexing with flexible retrieval, optional reranking, …

    Python 24 1

  6. MCompassRAG MCompassRAG Public

    MCompassRAG is a metadata-guided retrieval framework that uses topic-level signals as a semantic compass for paragraph-level RAG. It enriches chunks with topic metadata and trains a lightweight ret…

    Python 11 1