houcharlie / PrE-Text
Implementation for PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
☆14Updated 3 months ago
Related projects: ⓘ
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆36Updated 3 months ago
- The official GitHub page for paper "NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional St…☆15Updated 4 months ago
- Codebase for decoding compressed trust.☆20Updated 4 months ago
- This is the official implementation of ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting☆11Updated last month
- R-Judge: Benchmarking Safety Risk Awareness for LLM Agents☆57Updated last month
- A Closer Look into Mixture-of-Experts in Large Language Models☆38Updated last month
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆34Updated 4 months ago
- The source code of the EMNLP 2023 main conference paper: Sparse Low-rank Adaptation of Pre-trained Language Models.☆62Updated 6 months ago
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆81Updated this week
- ☆30Updated last month
- ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆14Updated 2 weeks ago
- ☆60Updated 5 months ago
- Code implementation of synthetic continued pretraining☆13Updated this week
- Model Editing Can Hurt General Abilities of Large Language Models☆29Updated 7 months ago
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.☆73Updated 7 months ago
- ☆37Updated 10 months ago
- ☆14Updated 7 months ago
- The source code and dataset mentioned in the paper Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmar…☆31Updated last month
- ☆32Updated last month
- Open-LLM-Leaderboard: Open-Style Question Evaluation. Paper at https://arxiv.org/abs/2406.07545☆28Updated 2 months ago
- ☆21Updated 9 months ago
- ControlLM is a method to control the personality traits and behaviors of language models in real-time at inference without costly trainin…☆10Updated 6 months ago
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆43Updated last week
- [ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning☆38Updated last year
- Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confid…☆22Updated last year
- Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".☆12Updated 2 months ago
- [NAACL 2024 Findings] Evaluation suite for the systematic evaluation of instruction selection methods.☆23Updated last year
- The open source implementation of "Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers"☆18Updated 6 months ago
- ☆29Updated 3 weeks ago
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆49Updated last month