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Category: Language Model

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ConfliBERT: A Domain-Specific Language Model for Political Violence Event Detection and Classification
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ConfliBERT: A Domain-Specific Language Model for Political Violence Event Detection and Classification

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The transformation of unstructured news texts into structured event data represents a critical challenge in social sciences, particularly in international […]

OpenAI Researchers Propose ‘Deliberative Alignment’: A Training Approach that Teaches LLMs to Explicitly Reason through Safety Specifications before Producing an Answer
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OpenAI Researchers Propose ‘Deliberative Alignment’: A Training Approach that Teaches LLMs to Explicitly Reason through Safety Specifications before Producing an Answer

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The widespread use of large-scale language models (LLMs) in safety-critical areas has brought forward a crucial challenge: how to ensure […]

Microsoft Researchers Release AIOpsLab: An Open-Source Comprehensive AI Framework for AIOps Agents
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Microsoft Researchers Release AIOpsLab: An Open-Source Comprehensive AI Framework for AIOps Agents

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The increasing complexity of cloud computing has brought both opportunities and challenges. Enterprises now depend heavily on intricate cloud-based infrastructures […]

Meet LLMSA: A Compositional Neuro-Symbolic Approach for Compilation-Free, Customizable Static Analysis with Reduced Hallucinations
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Meet LLMSA: A Compositional Neuro-Symbolic Approach for Compilation-Free, Customizable Static Analysis with Reduced Hallucinations

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Static analysis is an inherent part of the software development process since it enables such activities as bug finding, program […]

Meet LOTUS 1.0.0: An Advanced Open Source Query Engine with a DataFrame API and Semantic Operators
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Meet LOTUS 1.0.0: An Advanced Open Source Query Engine with a DataFrame API and Semantic Operators

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Modern data programming involves working with large-scale datasets, both structured and unstructured, to derive actionable insights. Traditional data processing tools […]

OpenAI Researchers Propose Comprehensive Set of Practices for Enhancing Safety, Accountability, and Efficiency in Agentic AI Systems
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OpenAI Researchers Propose Comprehensive Set of Practices for Enhancing Safety, Accountability, and Efficiency in Agentic AI Systems

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Agentic AI systems are fundamentally reshaping how tasks are automated, and goals are achieved in various domains. These systems are […]

This AI Paper from Anthropic and Redwood Research Reveals the First Empirical Evidence of Alignment Faking in LLMs Without Explicit Training
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This AI Paper from Anthropic and Redwood Research Reveals the First Empirical Evidence of Alignment Faking in LLMs Without Explicit Training

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AI alignment ensures that AI systems consistently act according to human values and intentions. This involves addressing the complex challenges […]

TOMG-Bench: Text-based Open Molecule Generation Benchmark
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TOMG-Bench: Text-based Open Molecule Generation Benchmark

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Molecule discovery is important in various scientific research fields, particularly pharmaceuticals and materials science. While the emergence of Graph Neural […]

Researchers at Stanford Use AI and Spatial Transcriptomics to Discover What Makes Some Cells Age Faster/Slower in the Brain
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Researchers at Stanford Use AI and Spatial Transcriptomics to Discover What Makes Some Cells Age Faster/Slower in the Brain

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Aging is linked to a significant rise in neurodegenerative diseases like Alzheimer’s and cognitive decline. While brain aging involves complex […]

LightOn and Answer.ai Releases ModernBERT: A New Model Series that is a Pareto Improvement over BERT with both Speed and Accuracy
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LightOn and Answer.ai Releases ModernBERT: A New Model Series that is a Pareto Improvement over BERT with both Speed and Accuracy

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Since the release of BERT in 2018, encoder-only transformer models have been widely used in natural language processing (NLP) applications […]

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