Updated readme (#2)

- Updated readme (b6c260f43a57895b3eed594b48da57b0303c0945)


Co-authored-by: AK <[email protected]>

README.md

@@ -15,12 +15,13 @@ tags:
 datasets:
 - microsoft/NextCoderDataset
 - microsoft/NextCoderDataset-Conversational
+- bigcode/commitpackft
 ---
 
 
 # NextCoder-7B
 <p align="center">
-        <a href="https://github.com/microsoft/NextCoder">GitHub</a>&nbsp&nbsp | &nbsp&nbsp <a href="https://arxiv.org/abs/2503.03656">Arxiv</a> 
+        <a href="https://github.com/microsoft/NextCoder">GitHub</a>&nbsp&nbsp | &nbsp&nbsp <a href="https://www.microsoft.com/en-us/research/publication/nextcoder-robust-adaptation-of-code-lms-to-diverse-code-edits/">Paper</a> 
 </p>
 
 > NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits (ICML'2025)
@@ -42,7 +43,7 @@ Following are the key improvements:
 - Number of Layers: 28
 - Number of Attention Heads (GQA): 28 for Q and 4 for KV
   
-For more details, please refer to our [blog](), [GitHub](https://github.com/microsoft/NextCoder), [Arxiv](https://arxiv.org/abs/2503.03656).
+For more details, please refer to our [blog](), [GitHub](https://github.com/microsoft/NextCoder), [Paper](https://www.microsoft.com/en-us/research/publication/nextcoder-robust-adaptation-of-code-lms-to-diverse-code-edits/).
 
 ## Requirements
 
@@ -120,6 +121,9 @@ response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
 
 **Detailed evaluation results are reported in this [📑 paper](https://arxiv.org/abs/2503.03656).**
 
+## Responsible AI Use
+The base models (from the QwenCoder-2.5 family) are suspectible to malicious prompts and may generate or execute harmful code. Our finetuning does not enhance or impede such behaviors. The users should use the models and their outputs responsibly and with caution. Model outputs should be subjected to additional analysis, including manual inspection, and sandboxing before execution.
+
 ## Citation
 
 ```bibtex