Natural Language Processing

ElevenLabs debuts Conversational AI 2.0 voice assistants that understand when to...

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Natural Language Processing

AI meets game theory: How language models perform in human-like social...

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Education

Qwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning...

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Natural Language Processing

Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large...

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Natural Language Processing

Researchers Introduce MMLONGBENCH: A Comprehensive Benchmark for Long-Context Vision-Language Models

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Natural Language Processing

Technology Innovation Institute TII Releases Falcon-H1: Hybrid Transformer-SSM Language Models for...

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Natural Language Processing

Beyond Aha Moments: Structuring Reasoning in Large Language Models

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Education

Meta Researchers Introduced J1: A Reinforcement Learning Framework That Trains Language...

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Natural Language Processing

Why Are AI Chatbots Often Sycophantic?

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Natural Language Processing

See, Think, Explain: The Rise of Vision Language Models in AI

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Natural Language Processing

Large Language Models Are Memorizing the Datasets Meant to Test Them

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This AI Paper Introduces ARM and Ada-GRPO: Adaptive Reasoning Models for...

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Cisco’s Latest AI Agents Report Details the Transformative Impact of Agentic...

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News

This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation...

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Meet NovelSeek: A Unified Multi-Agent Framework for Autonomous Scientific Research from...

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This AI Paper Introduces ARM and Ada-GRPO: Adaptive Reasoning Models for...

Reasoning tasks are a fundamental aspect of artificial intelligence, encompassing areas like commonsense understanding, mathematical problem-solving, and symbolic reasoning. These tasks often involve multiple steps of logical inference, which large language models (LLMs) attempt to mimic through structured approaches such as chain-of-thought (CoT) prompting. However, as LLMs grow in...