​[[{“value”:”This paper was accepted at the workshop HSCMA at ICASSP 2024. Voice triggering (VT) enables users to activate their devices by just speaking a trigger phrase. A front-end system is typically used to perform speech enhancement and/or separation, and produces multiple enhanced and/or separated signals.… Read More »Multichannel Voice Trigger Detection Based on Transform-average-concatenate Apple Machine Learning Research

​[[{“value”:” The well-known Artificial Intelligence (AI)-based chatbot, i.e., ChatGPT, which has been built on top of GPT’s transformer architecture, uses the technique of Reinforcement Learning from Human Feedback (RLHF). RLHF is an increasingly important method for utilizing the potential of pre-trained Large Language Models (LLMs)… Read More »Researchers from NVIDIA and the University of Maryland Propose ODIN: A Reward Disentangling Technique that Mitigates Hacking in Reinforcement Learning from Human Feedback (RLHF) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The alignment of Large Language Models (LLMs) with human preferences has become a crucial area of research. As these models gain complexity and capability, ensuring their actions and outputs align with human values and intentions is paramount. The conventional route to this alignment has… Read More »Can Machine Learning Models Be Fine-Tuned More Efficiently? This AI Paper from Cohere for AI Reveals How REINFORCE Beats PPO in Reinforcement Learning from Human Feedback Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The challenges in developing instruction-following agents in grounded environments include sample efficiency and generalizability. These agents must learn effectively from a few demonstrations while performing successfully in new environments with novel instructions post-training. Techniques like reinforcement learning and imitation learning are commonly used but… Read More »Can Machine Learning Teach Robots to Understand Us Better? This Microsoft Research Introduces Language Feedback Models for Advanced Imitation Learning Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the fast-evolving world of technology, language models play a crucial role in various applications, from answering questions to generating text. However, one challenge these models face is their size, which can limit their capabilities and applications. Developers and researchers always seek efficient yet… Read More »Meet MiniCPM: An End-Side LLM with only 2.4B Parameters Excluding Embeddings Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Music generation has long been a fascinating domain, blending creativity with technology to produce compositions that resonate with human emotions. The process involves generating music that aligns with specific themes or emotions conveyed through textual descriptions. While developing music from text has seen remarkable… Read More »MusicMagus: Harnessing Diffusion Models for Zero-Shot Text-to-Music Editing Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In our ever-evolving world, the significance of sequential decision-making (SDM) in machine learning cannot be overstated. Unlike static tasks, SDM reflects the fluidity of real-world scenarios, spanning from robotic manipulations to evolving healthcare treatments. Much like how foundation models in language, such as BERT… Read More »This Machine Learning Research Introduces Premier-TACO: A Robust and Highly Generalizable Representation Pretraining Framework for Few-Shot Policy Learning Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The relentless quest for autonomous vehicles has pivoted around the ability to interpret and navigate complex environments with precision and reliability. Central to this endeavor is the technological prowess in 3D scene reconstruction and novel view synthesis, where the sparse data from Light Detection… Read More »Revolutionizing 3D Scene Reconstruction and View Synthesis with PC-NeRF: Bridging the Gap in Sparse LiDAR Data Utilization Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs, which have been lauded for their exceptional performance across a spectrum of reasoning tasks, from STEM problem-solving to code generation, often surpassing human benchmarks, show a surprising frailty when confronted with reordered premises. The research by Google Deepmind and Stanford University unveils that… Read More »Shattering AI Illusions: Google DeepMind’s Research Exposes Critical Reasoning Shortfalls in LLMs! Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The remarkable potential of Large Language Models (LLMs) such as ChatGPT to interpret and generate language in a way that is strikingly similar to that of humans has garnered a lot of interest. Therefore, LLM applications in healthcare are quickly becoming an exciting new… Read More »This AI Paper from China IntroduceS Rarebench: A Pioneering AI Benchmark to Evaluate the Capabilities of LLMs on 4 Critical Dimensions within Rare Diseases Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost