zhang-wei-chao / DC-PDD
This repository presents the original implementation of Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method by Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
☆13Updated last month
Alternatives and similar repositories for DC-PDD:
Users that are interested in DC-PDD are comparing it to the libraries listed below
- ☆28Updated last month
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆63Updated last year
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆115Updated 5 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆107Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆79Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆89Updated 10 months ago
- [ICLR 2025] Code and Data Repo for Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"☆41Updated 3 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆57Updated 5 months ago
- A method of ensemble learning for heterogeneous large language models.☆43Updated 7 months ago
- The code of arxiv paper: "CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis"☆23Updated 2 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆74Updated 2 months ago
- code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models☆29Updated 4 months ago
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆60Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆111Updated 6 months ago
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆57Updated last year
- ☆81Updated last year
- ☆41Updated last year
- [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"☆25Updated last year
- Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]☆29Updated 10 months ago
- self-adaptive in-context learning☆43Updated last year
- ☆35Updated last year
- Language Imbalance Driven Rewarding for Multilingual Self-improving☆16Updated 5 months ago
- ☆54Updated 5 months ago
- ☆49Updated last month
- ☆70Updated 3 months ago
- Implementation code for ACL2024:Advancing Parameter Efficiency in Fine-tuning via Representation Editing☆13Updated 11 months ago
- ☆22Updated 6 months ago
- The repository for paper <Evaluating Open-QA Evaluation>☆24Updated 11 months ago
- ☆82Updated 3 months ago