| RAIN: Your Language Models Can Align Themselves without Finetuning | Sep 13, 2023 | Adversarial AttackTruthfulQA | CodeCode Available | 1 |
| Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning | Dec 29, 2023 | TruthfulQA | CodeCode Available | 1 |
| Alleviating Hallucinations of Large Language Models through Induced Hallucinations | Dec 25, 2023 | HallucinationHallucination Evaluation | CodeCode Available | 1 |
| Machine Unlearning in Large Language Models | May 24, 2024 | Machine UnlearningTruthfulQA | CodeCode Available | 1 |
| Non-Linear Inference Time Intervention: Improving LLM Truthfulness | Mar 27, 2024 | Large Language ModelMultiple-choice | CodeCode Available | 1 |
| Integrative Decoding: Improve Factuality via Implicit Self-consistency | Oct 2, 2024 | TruthfulQA | CodeCode Available | 1 |
| Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics | Sep 13, 2023 | EthicsTruthfulQA | CodeCode Available | 1 |
| Evaluating Consistencies in LLM responses through a Semantic Clustering of Question Answering | Oct 20, 2024 | Language ModellingLarge Language Model | —Unverified | 0 |
| A Debate-Driven Experiment on LLM Hallucinations and Accuracy | Oct 25, 2024 | Fact CheckingHallucination | —Unverified | 0 |
| Investigating Data Contamination in Modern Benchmarks for Large Language Models | Nov 16, 2023 | Common Sense ReasoningMMLU | —Unverified | 0 |
