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Ahren09/README.md

Hey, I'm Yiqiao Jin👋

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  • Actively seeking: full-time Research Scientist / Research Engineer / Applied Scientist / Member of Technical Staff roles
  • Ph.D. Candidate in Computer Science at Georgia Tech, Graduating: May 2027
  • Research areas: Large Language Models, Multimodal LLMs, LLM Agents, RAG, Computational Social Science
  • Research Scientist Intern: Microsoft Research Asia (2020-2022), Adobe Research (2024), J.P. Morgan AI Research (2025), Waymo (2026), and Amazon (2026)
  • SWE Intern: IBM, Amazon.
  • Putting the initial letters of my interned companies (IBM, Amazon, Microsoft, Adobe, J.P. Morgan, Waymo) together, you get "I AM AJW" (I am Ahren Jin, Wow~) 🤗

I build research systems that connect strong publications with practical ML deployment. My recent work spans multi-page visual document understanding, multimodal GUI understanding, retrieval-augmented generation with context compression, peer-review simulation with LLM agents, and cross-lingual LLM evaluation.

Highlights

  • First-authored or co-authored papers at top-tier conferences, such as ICLR, ICML, ACL, EMNLP, The Web Conference, KDD, CIKM, ICWSM, and AAAI, with multiple Oral presentations
  • Research scientist internships / collaborations at J.P. Morgan AI Research, Visa Research, Adobe Research, and Microsoft Research Asia; prior engineering internships at Amazon and IBM.
  • Built open research artifacts in LLM agents, evaluation, misinformation detection, scientometrics, and dynamic graph mining.
  • Recipient of Best Paper Award at the AAAI 2025 Good-Data Workshop.

Selected Work

  • UniSD - A unified framework for studying self-distillation for LLMs.
  • AgentReview — LLM-agent framework for studying peer-review dynamics; EMNLP 2024 main-track oral.
  • AgentArk — distilling multi-agent intelligence into a single LLM agent.
  • SARA - Efficient Retrieval-Augmented Generation with Context Compression; ACL 2026 main-track oral.
  • XLingEval — cross-lingual evaluation of LLMs for healthcare queries. The Web Conference 2024 Oral.
  • INPAC — modeling information pathways across online communities. KDD 2023 Oral.
  • FinerFact — fine-grained reasoning for fake-news detection; AAAI 2022 Oral.
  • SciEvo — longitudinal dataset for academic literature, metadata, and citation graphs. Best Paper Award, AAAI 2025 GoodData Workshop.

Looking For

I am especially interested in Research Scientist and Applied Scientist roles where I can work on:

  • Large Language Models (LLMs) and Vision-Language Models (VLMs)
  • Agentic AI and Retrieval-Augmented Generation (RAG)
  • Evaluation, Robustness, and Safety
  • Research that moves from paper to product

Links

Reach Out

If you are hiring for 2027 full-time Research Scientist / Applied Scientist roles, or want to discuss collaboration in LLMs, multimodal learning, or agent systems, I’d love to connect.

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  1. UniSD UniSD Public

    Official implementation for "Towards a Unified Self-Distillation Framework for Large Language Models" (https://arxiv.org/abs/2605.06597).

    Python 887 54

  2. AgentReview AgentReview Public

    Official Implementation for EMNLP 2024 (Main Track, Oral) "AgentReview: Exploring Academic Peer Review with LLM Agent."

    Jupyter Notebook 681 89

  3. hello-diana/MASCOT hello-diana/MASCOT Public

    EMNLP 2026 Main Conference Paper: MASCOT: Towards Multi-Agent Socio-Collaborative Companion Systems (https://aclanthology.org/2026.emnlp-main.878/))

    Python 781 94

  4. AIFrontierLab/AgentArk AIFrontierLab/AgentArk Public

    [NeurIPS'26] Official Implementation for AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent(https://arxiv.org/abs/2602.03955)

    Python 266 33

  5. claws-lab/INPAC claws-lab/INPAC Public

    Code and data for the KDD 2023 paper "Predicting Information Pathways Across Online Communities."

    Python 27 2

  6. claws-lab/XLingEval claws-lab/XLingEval Public

    Code and Resources for the paper, "Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries"

    Python 389 46