lifan-yuan / OOD_NLP
[NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations".
☆31Updated last year
Alternatives and similar repositories for OOD_NLP:
Users that are interested in OOD_NLP are comparing it to the libraries listed below
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆57Updated last year
- [NAACL'25] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆44Updated 2 months ago
- Restore safety in fine-tuned language models through task arithmetic☆26Updated 10 months ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆66Updated 2 years ago
- LoFiT: Localized Fine-tuning on LLM Representations☆32Updated last month
- ☆44Updated 5 months ago
- ☆30Updated 9 months ago
- ☆24Updated 4 months ago
- ☆25Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆63Updated 11 months ago
- Repo for paper: Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge☆12Updated 11 months ago
- ☆22Updated 4 months ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆37Updated 2 years ago
- ☆40Updated last year
- An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).☆47Updated 6 months ago
- BeHonest: Benchmarking Honesty in Large Language Models☆31Updated 6 months ago
- A Survey of Hallucination in Large Foundation Models☆51Updated last year
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆82Updated this week
- ☆29Updated 9 months ago
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆77Updated 9 months ago
- ☆46Updated last year
- AbstainQA, ACL 2024☆25Updated 4 months ago
- Methods and evaluation for aligning language models temporally☆27Updated 11 months ago
- Code for ACL 2023 paper "A Close Look into the Calibration of Pre-trained Language Models"☆11Updated last year
- ☆85Updated 2 years ago
- ☆47Updated 10 months ago
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆35Updated this week
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆19Updated 5 months ago
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆58Updated 2 years ago
- Code for "Universal Adversarial Triggers Are Not Universal."☆16Updated 9 months ago