Top 10 AI Research Papers to Read on 9.27.2024

In today’s AI research roundup, explore the top 10 papers pushing the boundaries of Artificial Intelligence, Machine Learning, and Generative AI. Uncover the insights shaping the next wave of technological breakthroughs.

• Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models by Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, YenSung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross Girshick, Ali Farhadi, Aniruddha Kembhavi
• FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression by Fazal Mittu, Yihuan Bu, Akshat Gupta, Ashok Devireddy, Alp Eren Ozdarendeli, Anant Singh, Gopala Anumanchipalli
• Assessing the Level of Toxicity Against Distinct Groups in Bangla Social Media Comments: A Comprehensive Investigation by Mukaffi Bin Moin, Pronay Debnath, Usafa Akther Rifa, Rijeet Bin Anis
• Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer by Benji Peng, Xuanhe Pan, Yizhu Wen, Ziqian Bi, Keyu Chen, Ming Li, Ming Liu, Qian Niu, Junyu Liu, Jinlang Wang, Sen Zhang, Jiawei Xu, Pohsun Feng
• Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale by Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu
• Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning? by Bowen Zhao, Leo Parker Dirac, Paulina Varshavskaya
• Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition by Pritika Ramu, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivavsan
• Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia by Azmul Asmar Irfan, Nur Ahmad Khatim, Mansur M. Arief
• Detecting Temporal Ambiguity in Questions by Bhawna Piryani, Abdelrahman Abdallah, Jamshid Mozafari, Adam Jatowt
• How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not by Francesco Verdini, Pierfrancesco Melucci, Stefano Perna, Francesco Cariaggi, Marco Gaido, Sara Papi, Szymon Mazurek, Marek Kasztelnik, Luisa Bentivogli, Sébastien Bratières, Paolo Merialdo, Simone Scardapane