trestad / mitigating-reversal-curseLinks
Code for paper 'Are We Falling in a Middle-Intelligence Trap? An Analysis and Mitigation of the Reversal Curse'
☆14Updated last year
Alternatives and similar repositories for mitigating-reversal-curse
Users that are interested in mitigating-reversal-curse are comparing it to the libraries listed below
Sorting:
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 11 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆114Updated last year
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆165Updated last year
- ☆74Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆130Updated 10 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆68Updated last year
- [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing☆36Updated 11 months ago
- ☆47Updated last year
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆58Updated 8 months ago
- Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"☆171Updated last year
- ☆20Updated last year
- awesome SAE papers☆41Updated 2 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
- AbstainQA, ACL 2024☆27Updated 10 months ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 11 months ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆73Updated last year
- The repo for In-context Autoencoder☆133Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆80Updated 6 months ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆62Updated 8 months ago
- A method of ensemble learning for heterogeneous large language models.☆58Updated last year
- [EMNLP 2024] The official GitHub repo for the paper "Course-Correction: Safety Alignment Using Synthetic Preferences"☆19Updated 10 months ago
- [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?☆82Updated last year
- The official implementation of "ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization…☆16Updated last year
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆126Updated 9 months ago
- ☆68Updated last year