Meet OREO (Offline REasoning Optimization): An Offline Reinforcement Learning Method for Enhancing LLM Multi-Step...
Large Language Models (LLMs) have demonstrated impressive proficiency in numerous tasks, but...
Why Do Task Vectors Exist in Pretrained LLMs? This AI Research from MIT and...
Large Language Models (LLMs) have demonstrated remarkable similarities to human cognitive processes’...
ConfliBERT: A Domain-Specific Language Model for Political Violence Event Detection and Classification
The transformation of unstructured news texts into structured event data represents a...
OpenAI Researchers Propose ‘Deliberative Alignment’: A Training Approach that Teaches LLMs to Explicitly Reason...
The widespread use of large-scale language models (LLMs) in safety-critical areas has...
Hume AI Introduces OCTAVE: A Next-Generation Speech-Language Model with New Emergent Capabilities like On-The-Fly...
The evolution of speech and language technology has led to improvements in...
Microsoft Researchers Release AIOpsLab: An Open-Source Comprehensive AI Framework for AIOps Agents
The increasing complexity of cloud computing has brought both opportunities and challenges....
Meet LLMSA: A Compositional Neuro-Symbolic Approach for Compilation-Free, Customizable Static Analysis with Reduced Hallucinations
Static analysis is an inherent part of the software development process since...
NOVA: A Novel Video Autoregressive Model Without Vector Quantization
Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant...
OpenAI Announces OpenAI o3: A Measured Advancement in AI Reasoning with 87.5% Score on...
On December 20, OpenAI announced OpenAI o3, the latest model in its...
Mix-LN: A Hybrid Normalization Technique that Combines the Strengths of both Pre-Layer Normalization and...
The Large Language Models (LLMs) are highly promising in Artificial Intelligence. However,...
