Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
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2408.15998
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84
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General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
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Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
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Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
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Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
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Training Language Models to Self-Correct via Reinforcement Learning
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Self-Taught Evaluators
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Were RNNs All We Needed?
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Differential Transformer
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Cognitive Architectures for Language Agents
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