ielab / vec2text-dense_retriever-threat
Is Vec2Text Really a Threat toDense Retrieval Systems?
☆16Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for vec2text-dense_retriever-threat
- ☆39Updated last year
- ☆112Updated last year
- ☆42Updated 10 months ago
- ☆32Updated last year
- ☆83Updated last year
- ☆26Updated 6 months ago
- ☆39Updated 7 months ago
- ☆29Updated 3 years ago
- [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156☆27Updated 11 months ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆84Updated 2 years ago
- ☆103Updated 2 years ago
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆85Updated 3 years ago
- ☆77Updated 7 months ago
- [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models☆76Updated 2 months ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆82Updated last year
- [ACL 2020] Towards Debiasing Sentence Representations☆61Updated 2 years ago
- [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…☆29Updated last year
- ☆68Updated 10 months ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆54Updated 11 months ago
- EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975☆37Updated 11 months ago
- ☆31Updated 5 months ago
- The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (NeurIPS 2022)☆14Updated last year
- ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.☆126Updated last year
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆97Updated last year
- ☆38Updated last year
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆92Updated last year
- ☆24Updated last year
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆33Updated last month
- On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification☆30Updated last year
- Codebase, data and models for the SummaC paper in TACL☆85Updated 11 months ago