Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -14,3 +14,30 @@ configs:
|
|
14 |
- split: test
|
15 |
path: "disputable.csv"
|
16 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
- split: test
|
15 |
path: "disputable.csv"
|
16 |
---
|
17 |
+
|
18 |
+
|
19 |
+
# DYMANICQA
|
20 |
+
|
21 |
+
This is a repository for the paper [DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models](https://arxiv.org/abs/2407.17023) accepted at Findings of EMNLP 2024.
|
22 |
+
|
23 |
+
<p align="center">
|
24 |
+
<img src="main_figure.png" width="650" alt="main_figure">
|
25 |
+
</p>
|
26 |
+
|
27 |
+
Our paper investigates the Language Model's behaviour when the conflicting knowledge exist within the LM's parameters. We present a novel dataset containing inherently conflicting data, DYNAMICQA. Our dataset consists of three partitions, **Static**, **Disputable** 🤷♀️, and **Temporal** 🕰️.
|
28 |
+
|
29 |
+
We also evaluate several measures on their ability to reflect the presence of intra-memory conflict: **Semantic Entropy** and a novel **Coherent Persuasion Score**. You can find our findings from our paper!
|
30 |
+
|
31 |
+
The implementation of the measures is available on our github [repo](https://github.com/copenlu/dynamicqa)!
|
32 |
+
|
33 |
+
## Dataset
|
34 |
+
|
35 |
+
Our dataset consists of three different partitions.
|
36 |
+
|
37 |
+
| Partition | Number of Questions |
|
38 |
+
| --------- | ------------------- |
|
39 |
+
| Static | 2500 |
|
40 |
+
| Temporal | 2495 |
|
41 |
+
| Disputable | 694 |
|
42 |
+
|
43 |
+
|