​[[{“value”:” Large Language Models (LLMs) have demonstrated impressive capabilities in handling knowledge-intensive tasks through their parametric knowledge stored within model parameters. However, the stored knowledge can become inaccurate or outdated, leading to the adoption of retrieval and tool-augmented methods that provide external contextual knowledge. A… Read More »SPARE: Training-Free Representation Engineering for Managing Knowledge Conflicts in Large Language Models Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have transformed fields ranging from customer service to medical assistance by aligning machine output with human values. Reward models (RMs) play an important role in this alignment, essentially serving as a feedback loop where models are guided to provide human-preferred… Read More »M-RewardBench: A Multilingual Approach to Reward Model Evaluation, Analyzing Accuracy Across High and Low-Resource Languages with Practical Results Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Long Video Segmentation involves breaking down a video into certain parts to analyze complex processes like motion, occlusions, and varying light conditions. It has various applications in autonomous driving, surveillance, and video editing. It is challenging yet critical to accurately segment objects in long… Read More »SAM2Long: A Training-Free Enhancement to SAM 2 for Long-Term Video Segmentation Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Innovation in science is essential to human progress because it drives developments in a wide range of industries, including technology, healthcare, and environmental sustainability. Large Language Models (LLMs) have lately demonstrated potential in expediting scientific discovery by generating research ideas due to their extensive… Read More »Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of Large Language Model (LLM) Generated Ideas Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative artificial intelligence (AI) models are designed to create realistic, high-quality data, such as images, audio, and video, based on patterns in large datasets. These models can imitate complex data distributions, producing synthetic content resembling samples. One widely recognized class of generative models is… Read More »OpenAI Stabilizing Continuous-Time Generative Models: How TrigFlow’s Innovative Framework Narrowed the Gap with Leading Diffusion Models Using Just Two Sampling Steps Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Formal theorem proving has emerged as a critical benchmark for assessing the reasoning capabilities of large language models (LLMs), with significant implications for mathematical automation. While these models show promise in assisting mathematicians through proof completion and formalization tools, a substantial challenge persists in… Read More »MiniCTX: Advancing Context-Dependent Theorem Proving in Large Language Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning has considerably improved in evaluating large language models (LLMs) for their mathematical reasoning abilities, especially in handling complex arithmetic and deductive reasoning tasks. The field focuses on testing LLMs’ capacity to generalize and solve new types of problems, especially as arithmetic problems… Read More »MathGAP: An Evaluation Benchmark for LLMs’ Mathematical Reasoning Using Controlled Proof Depth, Width, and Complexity for Out-of-Distribution Tasks Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly evolving world of finance, the demand for models that provide robust insights has never been greater. Traditional financial analysis requires an understanding of complex relationships, macroeconomic indicators, and financial nuances. Despite progress in AI, most language models struggle with the intricate… Read More »Meet Hawkish 8B: A New Financial Domain Model that can Pass CFA Level 1 and Outperform Meta Llama-3.1-8B-Instruct in Math & Finance Benchmarks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite rapid advancements in language technology, significant gaps in representation persist for many languages. Most progress in natural language processing (NLP) has focused on well-resourced languages like English, leaving many others underrepresented. This imbalance means that only a small portion of the world’s population… Read More »Cohere for AI Releases Aya Expanse (8B & 32B): A State-of-the-Art Multilingual Family of Models to Bridge the Language Gap in AI Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) is making significant strides in natural language processing (NLP), focusing on enhancing models that can accurately interpret and generate human language. Researchers are working to develop models that grasp complex linguistic structures and generate coherent, contextually relevant responses over extended dialogues.… Read More »This AI Paper from Amazon and Michigan State University Introduces a Novel AI Approach to Improving Long-Term Coherence in Language Models Nikhil Artificial Intelligence Category – MarkTechPost