This is the official repo for the paper ECon: On the Detection and Resolution of Evidence Conflicts [Arxiv]. This study introduces a method for generating diverse, validated evidence conflicts to simulate real-world misinformation scenarios.
Answer conflicts, where two pieces of evidence are conflicting in terms of the answers they suggest.
To enable prompting with LLMs, you need to implement the method get_llm_response()
in utils.py
first.
For answer conflicts
cd src/conflict_detection/answer_conflict && python run.py
For factoid conflicts (intensity of conflict)
cd src/conflict_detection/factoid_conflict/intensity_of_conflict && python run.py
For factoid conflicts (intensity of corroboration)
cd src/conflict_detection/factoid_conflict/intensity_of_corroboration && python run.py
The code we use for generating model beliefs, predictions, etc. are at conflict_resolution/main.ipynb
.
If you have any questions related to the code or the paper, please feel free to send an email to jchengaj@cse.ust.hk
.