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DeepSeek LLM: Scaling Open-Source Language Models with Longtermism research paper by DeepSeek, 2024

DeepSeek · Jan 5, 2024 · Training and scaling · 855 citations · 56 upvotes · unverified

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What it shows

DeepSeek LLM, an open-source language model project, develops a large dataset and employs SFT and DPO to achieve performance surpassing LLaMA-2 70B and GPT-3.5 in various benchmarks and open-ended evaluations.

UnverifiedHugging Face's summary; not yet checked by hand.

More from DeepSeek

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DualPath: Breaking the Storage Bandwidth Bottleneck in Agentic LLM InferenceDualPath addresses KV-cache storage I/O bottlenecks in multi-turn LLM inference by introducing dual-path loading and dynamic load balancing across prefill and decode engines.Agents and evaluation · Feb 2026 · Unverified19
DeepSeek-OCR 2: Visual Causal FlowDeepSeek-OCR 2 introduces DeepEncoder V2 that dynamically reorders visual tokens based on semantic content, enabling more human-like causal reasoning in 2D image understanding through cascaded 1D causal structures.Multimodal and robotics · Jan 2026 · Unverified75
mHC: Manifold-Constrained Hyper-ConnectionsManifold-Constrained Hyper-Connections (mHC) stabilize and scale residual connection architectures by restoring identity mapping properties through manifold projection and infrastructure optimization.Training and scaling · Dec 2025 · Unverified82
DeepSeek-V3.2: Pushing the Frontier of Open Large Language ModelsDeepSeek-V3.2 introduces DeepSeek Sparse Attention and a scalable reinforcement learning framework, achieving superior reasoning and performance compared to GPT-5 and Gemini-3.0-Pro in complex reasoning tasks.Agents and evaluation · Dec 2025 · Unverified761
DeepSeekMath-V2: Towards Self-Verifiable Mathematical ReasoningA self-verifying large language model for theorem proving improves mathematical reasoning by incentivizing rigorous step-by-step derivations and achieves high scores in international competitions.Reasoning · Nov 2025 · Unverified68
DeepSeek-OCR: Contexts Optical CompressionDeepSeek-OCR uses optical 2D mapping to compress long contexts, achieving high OCR precision with reduced vision tokens and demonstrating practical value in document processing.Inference and efficiency · Oct 2025 · Unverified189

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About this paper
Authors
DeepSeek-AI, Xiao Bi, Deli Chen and 84 more
arXiv
2401.02954 · PDF
Venue
arXiv.org
Citations
855, 80 influential · Semantic Scholar
Upvotes
56 · Hugging Face
Code
github.com/deepseek-ai/deepseek-llm
Lab
DeepSeek · on Companies

Changes

What changed
Influential citationsfirst count: 80Sep 25, 2026
Citationsfirst count: 855Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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