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- Awesome-Long2short-on-LRMs
Awesome-Long2short-on-LRMs PublicAwesome-Long2short-on-LRMs is a collection of state-of-the-art, novel, exciting long2short methods on large reasoning models. It contains papers, codes, datasets, evaluations, and analyses.
- thunlp/Advbench
thunlp/Advbench PublicCode and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP".
- thunlp/RobTest
thunlp/RobTest PublicSource code for ACL 2023 Findings paper "From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework"
- thunlp/OpenAttack
thunlp/OpenAttack PublicAn Open-Source Package for Textual Adversarial Attack.
- xlang-ai/Spider2-V
xlang-ai/Spider2-V Public[NeurIPS 2024] Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
- sail-sg/Meta-Unlearning
sail-sg/Meta-Unlearning Public
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