HillZhang1999 / ICDLinks
Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
☆66Updated last year
Alternatives and similar repositories for ICD
Users that are interested in ICD are comparing it to the libraries listed below
Sorting:
- ☆45Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 11 months ago
- ☆74Updated last year
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆81Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- ☆41Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆59Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 10 months ago
- Restore safety in fine-tuned language models through task arithmetic☆28Updated last year
- Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"☆170Updated last year
- ☆86Updated 2 years ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆60Updated 7 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆71Updated 8 months ago
- Methods and evaluation for aligning language models temporally☆29Updated last year
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆36Updated 10 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆114Updated last year
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆80Updated 6 months ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆56Updated 11 months ago
- Do Large Language Models Know What They Don’t Know?☆97Updated 8 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆69Updated last year
- Source code for Truth-Aware Context Selection: Mitigating the Hallucinations of Large Language Models Being Misled by Untruthful Contexts☆17Updated 10 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆114Updated last year
- self-adaptive in-context learning☆45Updated 2 years ago