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Just How Flexible are Neural Networks in Practice?
Paper • 2406.11463 • Published • 7 -
Not All Language Model Features Are Linear
Paper • 2405.14860 • Published • 39 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 108 -
An Interactive Agent Foundation Model
Paper • 2402.05929 • Published • 27
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Collections including paper arxiv:2402.05929
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An Interactive Agent Foundation Model
Paper • 2402.05929 • Published • 27 -
From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models
Paper • 2401.02777 • Published -
AgentScope: A Flexible yet Robust Multi-Agent Platform
Paper • 2402.14034 • Published • 12 -
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
Paper • 2403.04746 • Published • 22
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 143 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 20 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 64
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DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 40 -
Qwen Technical Report
Paper • 2309.16609 • Published • 34 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 5 -
Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 45
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GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 183 -
ToolTalk: Evaluating Tool-Usage in a Conversational Setting
Paper • 2311.10775 • Published • 7 -
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems
Paper • 2311.11315 • Published • 6 -
An Embodied Generalist Agent in 3D World
Paper • 2311.12871 • Published • 8
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DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Paper • 2309.14509 • Published • 17 -
LLM Augmented LLMs: Expanding Capabilities through Composition
Paper • 2401.02412 • Published • 36 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 42 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 20