MiuLab / FactAlign
Source code of our EMNLP 2024 paper "FactAlign: Long-form Factuality Alignment of Large Language Models"
☆14Updated 3 months ago
Alternatives and similar repositories for FactAlign:
Users that are interested in FactAlign are comparing it to the libraries listed below
- AbstainQA, ACL 2024☆25Updated 3 months ago
- Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)☆22Updated last year
- ☆40Updated last year
- Suri: Multi-constraint instruction following for long-form text generation (EMNLP’24)☆20Updated 2 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆62Updated 10 months ago
- ☆27Updated 11 months ago
- ☆38Updated last year
- RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment☆13Updated 3 weeks ago
- Restore safety in fine-tuned language models through task arithmetic☆26Updated 9 months ago
- ☆38Updated last year
- Personality Alignment of Language Models☆19Updated 4 months ago
- Code and data for the FACTOR paper☆44Updated last year
- Methods and evaluation for aligning language models temporally☆26Updated 10 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆63Updated 8 months ago
- Code and data for "Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation" (EMNLP 2023…☆30Updated 8 months ago
- L-CITEEVAL: DO LONG-CONTEXT MODELS TRULY LEVERAGE CONTEXT FOR RESPONDING?☆22Updated 2 months ago
- ☆44Updated 4 months ago
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆54Updated 6 months ago
- Do Large Language Models Know What They Don’t Know?☆88Updated 2 months ago
- Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"☆79Updated last year
- A framework for editing the CoTs for better factuality☆47Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆30Updated 4 months ago
- ☆22Updated last year
- Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"☆57Updated 2 years ago
- ☆83Updated 2 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆56Updated last year
- Repo for outstanding paper@ACL 2023 "Do PLMs Know and Understand Ontological Knowledge?"☆28Updated last year
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆64Updated last week
- Code for M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models☆22Updated 5 months ago
- [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"☆25Updated 9 months ago