zijian678 / TDDLinks
☆9Updated last year
Alternatives and similar repositories for TDD
Users that are interested in TDD are comparing it to the libraries listed below
Sorting:
- ☆12Updated 11 months ago
- BeHonest: Benchmarking Honesty in Large Language Models☆33Updated 9 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆64Updated last year
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- Restore safety in fine-tuned language models through task arithmetic☆28Updated last year
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆35Updated last week
- ☆41Updated last year
- ☆29Updated 5 months ago
- ☆44Updated 9 months ago
- ☆53Updated 9 months ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆40Updated 2 years ago
- [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models☆19Updated 2 years ago
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆60Updated 2 years ago
- Codebase for Hyperdecoders https://arxiv.org/abs/2203.08304☆11Updated 2 years ago
- Analyzing LLM Alignment via Token distribution shift☆16Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated 10 months ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆35Updated 11 months ago
- [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"☆25Updated last year
- [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models☆17Updated 10 months ago
- Towards Systematic Measurement for Long Text Quality☆35Updated 9 months ago
- [NeurIPS 2023] Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective☆31Updated last year
- ☆14Updated last year
- ☆74Updated last year
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆37Updated last week
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- ☆17Updated 3 months ago
- Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.☆23Updated 9 months ago
- ☆21Updated last year
- ☆22Updated 10 months ago
- ☆48Updated last year