Update README.md

README.md

@@ -4,6 +4,7 @@
 
 At DAIR.AI we ❤️ reading ML papers so we've created this repo to highlight the top ML papers of every week.
 
+- [Top ML Papers of the Week (July 24 - July 30)](https://github.com/dair-ai/ML-Papers-of-the-Week/blob/main/README.md#top-ml-papers-of-the-week-july-24---july-30)
 - [Top ML Papers of the Week (July 17 - July 23)](https://github.com/dair-ai/ML-Papers-of-the-Week/blob/main/README.md#top-ml-papers-of-the-week-july-17---july-23)
 - [Top ML Papers of the Week (July 10 - July 16)](https://github.com/dair-ai/ML-Papers-of-the-Week/blob/main/README.md#top-ml-papers-of-the-week-july-10---july-16)
 - [Top ML Papers of the Week (July 3 - July 9)](https://github.com/dair-ai/ML-Papers-of-the-Week/blob/main/README.md#top-ml-papers-of-the-week-july-3---july-9)
@@ -40,6 +41,21 @@ At DAIR.AI we ❤️ reading ML papers so we've created this repo to highlight t
 [Join our Discord](https://discord.gg/SKgkVT8BGJ)
 
 ---
+## Top ML Papers of the Week (July 24 - July 30)
+| **Paper**  | **Links** |
+| ------------- | ------------- |
+| 1) **Universal Adversarial LLM Attacks** -  finds universal and transferable adversarial attacks that cause aligned models like ChatGPT and Bard to generate objectionable behaviors; the approach automatically produces adversarial suffixes using greedy and gradient search. | [Paper](https://arxiv.org/abs/2307.15043), [Tweet](https://twitter.com/andyzou_jiaming/status/1684766170766004224?s=20) |
+| 2) **RT-2** - a new end-to-end vision-language-action model that learns from both web and robotics data; enables the model to translate the learned knowledge to generalized instructions for robotic control. | [Paper](https://robotics-transformer2.github.io/assets/rt2.pdf), [Tweet](https://twitter.com/GoogleDeepMind/status/1684903412834447360?s=20) |
+| 3) **Med-PaLM Multimodal** - introduces a new multimodal biomedical benchmark with 14 different tasks; it presents a proof of concept for a generalist biomedical AI system called Med-PaLM Multimodal; it supports different types of biomedical data like clinical text, imaging, and genomics. | [Paper](https://arxiv.org/abs/2307.14334), [Tweet](https://twitter.com/vivnat/status/1684404882844024832?s=20) |
+| 4) **Tracking Anything in High Quality** - propose a framework for high-quality tracking anything in videos; consists of a video multi-object segmented and a pretrained mask refiner model to refine the tracking results; the model ranks 2nd place in the VOTS2023 challenge. | [Paper](https://arxiv.org/abs/2307.13974v1), [Tweet](https://twitter.com/arankomatsuzaki/status/1684380610901467136?s=20) |
+| 5) **Foundation Models in Vision** -  presents a survey and outlook discussing open challenges and research directions for foundational models in computer vision. | [Paper](https://arxiv.org/abs/2307.13721v1), [Tweet](https://twitter.com/KhanSalmanH/status/1684496991215316992?s=20)
+| 6) **L-Eval** -  a standardized evaluation for long context language models containing 411 long documents over 2K query-response pairs encompassing areas such as law, finance, school lectures, long conversations, novels, and meetings. | [Paper](https://arxiv.org/abs/2307.11088v1),  [Tweet](https://twitter.com/WenxiangJiao/status/1682208555762610176?s=20)  |
+| 7) **LoraHub** -  introduces LoraHub to enable efficient cross-task generalization via dynamic LoRA composition; it enables the combination of LoRA modules without human expertise or additional parameters/gradients; mimics the performance of in-context learning in few-shot scenarios. | [Paper](https://arxiv.org/abs/2307.13269v1),  [Tweet](https://twitter.com/_akhaliq/status/1684030297661403136?s=20)  |
+| 8) **Survey of Aligned LLMs** - resents a comprehensive overview of alignment approaches, including aspects like data collection, training methodologies, and model evaluation. | [Paper](https://arxiv.org/abs/2307.12966v1),  [Tweet](https://twitter.com/omarsar0/status/1684960627423420419?s=20)  |
+| 9) **WavJourney** -  leverages LLMs to connect various audio models to compose audio content for engaging storytelling; this involves an explainable and interactive design that enhances creative control in audio production. | [Paper](https://arxiv.org/abs/2307.14335v1), [Tweet](https://twitter.com/LiuXub/status/1684338437934002176?s=20)  |
+| 10) **FacTool** - a task and domain agnostic framework for factuality detection of text generated by LLM; the effectiveness of the approach is tested on tasks such as code generation and mathematical reasoning; a benchmark dataset is released, including a ChatGPT plugin.  | [Paper](https://arxiv.org/abs/2307.13528v2), [Tweet](https://twitter.com/gneubig/status/1684658613921669120?s=20) |
+
+---
 ## Top ML Papers of the Week (July 17 - July 23)
 | **Paper**  | **Links** |
 | ------------- | ------------- |