Update README.md

README.md

@@ -1,3 +1,60 @@
 ---
 license: mit
+task_categories:
+- text-classification
+tags:
+- AI
+- ICML
+- ICML2024
 ---
+
+## ICML 2024 International Conference on Machine Learning 2024 Accepted Paper Meta Info Dataset
+
+This dataset is collect from the ICML 2024 OpenReview website (https://openreview.net/group?id=ICML.cc/2024/Conference#tab-accept-oral) as well as the arxiv website DeepNLP paper arxiv (http://www.deepnlp.org/content/paper/icml2024). For researchers who are interested in doing analysis of ICML 2024 accepted papers and potential trends, you can use the already cleaned up json files. 
+Each row contains the meta information of a paper in the ICML 2024 conference. To explore more AI & Robotic papers (NIPS/ICML/ICLR/IROS/ICRA/etc) and AI equations, feel free to navigate the Equation Search Engine (http://www.deepnlp.org/search/equation) as well as the AI Agent Search Engine to find the deployed AI Apps and Agents (http://www.deepnlp.org/search/agent) in your domain. 
+
+
+### Meta Information of Json File
+
+```
+{
+    "abs": "https://proceedings.mlr.press/v235/abad-rocamora24a.html",
+    "Download PDF": "https://raw.githubusercontent.com/mlresearch/v235/main/assets/abad-rocamora24a/abad-rocamora24a.pdf",
+    "OpenReview": "https://openreview.net/forum?id=AZWqXfM6z9",
+    "title": "Revisiting Character-level Adversarial Attacks for Language Models",
+    "url": "https://proceedings.mlr.press/v235/abad-rocamora24a.html",
+    "authors": "Elias Abad Rocamora, Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher",
+    "detail_url": "https://proceedings.mlr.press/v235/abad-rocamora24a.html",
+    "tags": "ICML 2024",
+    "abstract": "Adversarial attacks in Natural Language Processing apply perturbations in the character or token levels. Token-level attacks, gaining prominence for their use of gradient-based methods, are susceptible to altering sentence semantics, leading to invalid adversarial examples. While character-level attacks easily maintain semantics, they have received less attention as they cannot easily adopt popular gradient-based methods, and are thought to be easy to defend. Challenging these beliefs, we introduce Charmer, an efficient query-based adversarial attack capable of achieving high attack success rate (ASR) while generating highly similar adversarial examples. Our method successfully targets both small (BERT) and large (Llama 2) models. Specifically, on BERT with SST-2, Charmer improves the ASR in $4.84$% points and the USE similarity in $8$% points with respect to the previous art. Our implementation is available in https://github.com/LIONS-EPFL/Charmer."
+}
+
+```
+
+
+
+## Related
+
+## AI Equation
+[List of AI Equations and Latex](http://www.deepnlp.org/equation/category/ai) <br>
+[List of Math Equations and Latex](http://www.deepnlp.org/equation/category/math) <br>
+[List of Physics Equations and Latex](http://www.deepnlp.org/equation/category/physics) <br>
+[List of Statistics Equations and Latex](http://www.deepnlp.org/equation/category/statistics) <br>
+[List of Machine Learning Equations and Latex](http://www.deepnlp.org/equation/category/machine%20learning) <br>
+
+## AI Agent Marketplace and Search
+[AI Agent Marketplace and Search](http://www.deepnlp.org/search/agent) <br>
+[Robot Search](http://www.deepnlp.org/search/robot) <br>
+[Equation and Academic search](http://www.deepnlp.org/search/equation) <br>
+[AI & Robot Comprehensive Search](http://www.deepnlp.org/search) <br>
+[AI & Robot Question](http://www.deepnlp.org/question) <br>
+[AI & Robot Community](http://www.deepnlp.org/community) <br>
+[AI Agent Marketplace Blog](http://www.deepnlp.org/blog/ai-agent-marketplace-and-search-portal-reviews-2025) <br>
+
+## AI Agent Reviews
+[AI Agent Marketplace Directory](http://www.deepnlp.org/store/ai-agent) <br>
+[Microsoft AI Agents Reviews](http://www.deepnlp.org/store/pub/pub-microsoft-ai-agent) <br>
+[Claude AI Agents Reviews](http://www.deepnlp.org/store/pub/pub-claude-ai-agent) <br>
+[OpenAI AI Agents Reviews](http://www.deepnlp.org/store/pub/pub-openai-ai-agent) <br>
+[Saleforce AI Agents Reviews](http://www.deepnlp.org/store/pub/pub-salesforce-ai-agent) <br>
+[AI Agent Builder Reviews](http://www.deepnlp.org/store/ai-agent/ai-agent-builder) <br>