zijian678 / TDDLinks
☆10Updated 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
- EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue☆35Updated last month
- [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
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆65Updated last year
- ☆14Updated last year
- DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails☆24Updated 4 months ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆35Updated last year
- ☆44Updated 9 months ago
- Official Code Repository for [AutoScale–Automatic Prediction of Compute-optimal Data Compositions for Training LLMs]☆12Updated 4 months ago
- ☆19Updated 8 months ago
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆22Updated 10 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning☆19Updated this week
- ☆41Updated last year
- [EMNLP 2024] The official GitHub repo for the paper "Course-Correction: Safety Alignment Using Synthetic Preferences"☆19Updated 8 months ago
- ☆19Updated last year
- ☆14Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 10 months ago
- Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)☆13Updated 8 months ago
- ☆17Updated 3 months ago
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆39Updated last month
- In-context Example Selection with Influences☆15Updated 2 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- ☆22Updated 11 months ago
- [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models☆17Updated 11 months ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆39Updated last year
- ☆11Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- ☆30Updated last year