2). Qwen2.5-1M Qwen releases two open-source LLMs, Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, that can handle context lengths of up to 1 million tokens.
@dair_ai
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Janus-Pro: Enhanced Multimodal Understanding and Generation Model
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3). Janus-Pro An enhanced version of the previous Janus model for multimodal understanding and generation.
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MVoT Framework Enables AI Multimodal Reasoning in Space
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9). Imagine while Reasoning in Space – introduces MVoT (Multimodal Visualization-of-Thought), a new reasoning framework that enables AI models to "think" in both text and image.
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ChemAgent Framework Enhances LLM Chemical Reasoning Performance
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10). ChemAgent – presents a new framework designed to improve the performance of LLMs on chemical reasoning through a dynamic, self-updating library…
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AutoCBT Multi-Agent Framework for Cognitive Behavioral Therapy
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8). AutoCBT – proposes a multi-agent framework, AutoCBT, for Cognitive Behavioral Therapy; the work proposes a general multi-agent framework that generates high-quality responses for single-turn psychological consultation scenarios…
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Enhancing RAG Systems: Strategies and Methods
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7). Enhancing RAG – systematically explores the factors and methods that improve RAG systems such as retrieval strategies, query expansion, contrastive in-context learning, prompt design, and chunking.
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New Survey on LLM Foundations: Pre-training, Prompting, Alignment
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5). Foundations of LLMs – new survey on the foundations of LLMs covering areas such as pre-training, prompting, and alignment methods.
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OmniThink: New AI Framework for Iterative Expansion and Reflection
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6). OmniThink – a new framework that emulates a human-like process of iterative expansion and reflection…
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VideoRAG Framework Enhances RAG with Video Knowledge Sources
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3). VideoRAG – a framework that enhances RAG by leveraging video content as an external knowledge source…
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MiniMax-01 Introduces 456B Parameter Model with Mixture-of-Experts
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2). MiniMax-01 – introduces a new series of models that integrate Mixture-of-Experts; introduces a model with 32 experts and 456B parameters, and 45.9B are activated for each token…