Update README.md

README.md

@@ -35,7 +35,7 @@ The Wiki dataset consists of 14,290 articles spanning 15 high-level and 45 mid-l
 
 Please cite us if you find the data and the papers useful, and do not hesitate to create an issue or email us if you have problems!
 
-If you find LLM-based topic generation has hallucination or instability:
+If you find LLM-based topic generation has hallucination or instability, and coherence not applicable to LLM-based topic models:
 ```
 @misc{li2025largelanguagemodelsstruggle,
       title={Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs}, 
@@ -49,21 +49,6 @@ If you find LLM-based topic generation has hallucination or instability:
 ```
 
 If you use the human annotations or preprocessing:
-```
-@inproceedings{hoyle-etal-2021-automated,
-    title = "Is Automated Topic Evaluation Broken? The Incoherence of Coherence",
-    author = "Hoyle, Alexander Miserlis  and
-      Goel, Pranav  and
-      Hian-Cheong, Andrew and
-      Peskov, Denis and
-      Boyd-Graber, Jordan and
-      Resnik, Philip",
-    booktitle = "Advances in Neural Information Processing Systems",
-    year = "2021",
-    url = "https://arxiv.org/abs/2107.02173",
-}
-```
-
 ```
 @inproceedings{li-etal-2024-improving,
     title = "Improving the {TENOR} of Labeling: Re-evaluating Topic Models for Content Analysis",
@@ -87,6 +72,23 @@ If you use the human annotations or preprocessing:
 }
 ```
 
+If you want to use the claim coherence does not generalize to neural topic models:
+```
+@inproceedings{hoyle-etal-2021-automated,
+    title = "Is Automated Topic Evaluation Broken? The Incoherence of Coherence",
+    author = "Hoyle, Alexander Miserlis  and
+      Goel, Pranav  and
+      Hian-Cheong, Andrew and
+      Peskov, Denis and
+      Boyd-Graber, Jordan and
+      Resnik, Philip",
+    booktitle = "Advances in Neural Information Processing Systems",
+    year = "2021",
+    url = "https://arxiv.org/abs/2107.02173",
+}
+```
+
+
 If you evaluate ground-truth evaluations or stability:
 ```
 @inproceedings{hoyle-etal-2022-neural,