- W1) The paper evaluates only on one dataset and on one task. Results and conclusions would be stronger if the analysis were applied to more datasets and more tasks.
- W2) Similarly, only one LLM model (GPT-3) is examined.
- W3) Some terms like "co-prediction" (line 278) and "in-context" (line 285) are not defined or explained.
- W4) A potential weakness is that the paper overlooks the presence of multi-label tweets. For instance, do multi-label tweets impact (i.e., harm) the effectiveness of the EG approach? I imagine that multi-label tweets would confuse the model insofar as the model would have a harder time generating a clear definition of a single label concept. See Q5 below.
-W1) The paper evaluates only on one dataset and on one task. Results and conclusions would be stronger if the analysis were applied to more datasets and more tasks.