Tag: Human-AI Interaction
All the articles with the tag "Human-AI Interaction".
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The dynamic interplay between in-context and in-weight learning in humans and neural networks
Published: at 11:20 PM
70.07 🤔本文通过神经网络中上下文学习（ICL）与权重学习（IWL）的动态交互，统一解释了人类学习中的组合性泛化、课程效应及灵活性与保留性权衡，为认知科学双过程理论提供了新视角。
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TeLLMe: An Energy-Efficient Ternary LLM Accelerator for Prefilling and Decoding on Edge FPGAs
Published: at 04:29 PM 70.02 🤔本文提出TeLLMe，一种能量高效的三元LLM FPGA加速器，通过表查找矩阵引擎和反向注意力优化，支持预填充和解码阶段，在7W功率下实现高达9.51 tokens/s吞吐量和低预填充延迟。
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Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Published: at 11:19 AM 69.75 🤔本文提出Nemotron-Research-Tool-N1，通过基于规则的强化学习和二元奖励函数训练工具调用语言模型，在不依赖标注推理轨迹的情况下显著提升工具调用能力，实验表明其在多个基准上超越GPT-4o等强基线。
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Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
Published: at 11:18 AM 69.15 🤔This paper introduces Gaussian Concept Subspace (GCS), a framework to model concept representations in LLMs as Gaussian distributions, demonstrating improved robustness, faithfulness, and plausibility over single vector methods, with effective application in emotion steering tasks.
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How Do Multimodal Large Language Models Handle Complex Multimodal Reasoning? Placing Them in An Extensible Escape Game
Published: at 10:59 AM 68.75 🤔This paper introduces MM-Escape, a benchmark using the customizable 3D environment EscapeCraft to evaluate multimodal reasoning in MLLMs through room escape tasks, revealing that while models like GPT-4o achieve high success in simple scenarios, performance drops significantly with increased difficulty, exposing distinct limitations in reasoning and spatial awareness.