Skip to content
View MighTy-Weaver's full-sized avatar
🤠
🤠

Highlights

  • Pro

Block or report MighTy-Weaver

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
MighTy-Weaver/README.md

Hey there 👋 Welcome to Mighty's Github

Check out these repositories! 👇

Pinned Loading

  1. HKUST-KnowComp/CAT HKUST-KnowComp/CAT Public

    Code for the ACL2023 paper: CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning (https://aclanthology.org/2023.acl-long.733.pdf).

    Python 11

  2. HKUST-KnowComp/CAR HKUST-KnowComp/CAR Public

    Code for the EMNLP2023 Findings paper: CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering (https://aclanthology.org/2023.findings-emnlp.902.pdf).

    Python 7

  3. HKUST-KnowComp/CANDLE HKUST-KnowComp/CANDLE Public

    Code and dataset for the ACL2024 paper: CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning (https://arxiv.org/pdf/2401.07286).

    Python 1

  4. HKUST-KnowComp/MARS HKUST-KnowComp/MARS Public

    Code and dataset for the paper: MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset (https://arxiv.org/pdf/2406.02106).

    Python 3

  5. HKUST-KnowComp/IntentionQA HKUST-KnowComp/IntentionQA Public

    Code and data for the paper: IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Large Language Models in E-commerce (https://arxiv.org/pdf/2406.10173)

    Python 7 1

  6. HKUST-KnowComp/MIND_Distillation HKUST-KnowComp/MIND_Distillation Public

    Code and data for the paper: MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding (https://arxiv.org/pdf/2406.10701).

    Python 2 1