huggingfaceGitHubありHugging Faceあり2026-06-07
Trajectory-Refined Distillation
On-policy distillation (OPD) has become a central post-training tool for large language models (LLMs), providi
深層学習軽量化・量子化テキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
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「LoRA」の検索結果
20 件huggingfaceHugging Faceあり2026-06-05
SWE-Explore: Benchmarking How Coding Agents Explore Repositories
Repository-level coding benchmarks such as SWE-bench have driven a rapid surge in the capabilities of coding a
深層学習軽量化・量子化検出テキスト
- 用途
- 検出
- 難易度
- Easy
- コスト
- Low
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huggingfaceHugging Faceあり2026-06-05
Entropy as a Structural Prior: How a Log-Barrier on DiT Belief Space Drives Musical Diversity and Development
Confidence-based loss weighting is usually avoided in generative models because it accelerates errors when the
センサ/時系列自然言語処理ファインチューニング生成テキスト音声
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-06-05
How Far Can Chord-Symbol Time-Series Adaptation Carry Genre Identity? Capabilities and Boundaries in Multi-Genre Chord-Symbol Modeling
Harmony is a compact symbolic layer where mathematical pitch relations, acoustic consonance, and musical conve
説明可能センサ/時系列品質予測/異常検知深層学習Transformer分類テキスト音声
- 用途
- 分類
- 難易度
- Easy
- コスト
- Low
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huggingfaceHugging Faceあり2026-06-04
LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents
Agent systems increasingly use textual skills to encode reusable task procedures, but injecting these skills i
MI向き深層学習軽量化・量子化テキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-06-04
Thinking with Imagination: Agentic Visual Spatial Reasoning with World Simulators
While Vision-Language Models (VLMs) have shown strong visual reasoning capabilities, their spatial reasoning a
自然言語処理大規模言語モデル画像テキストマルチモーダル
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-04
Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation
Reasoning models produce long chain-of-thought traces that are costly to distill and encourage verbose student
深層学習軽量化・量子化
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-04
Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution
Code language models need repository-level context to resolve imports, APIs, and project conventions. Existing
深層学習RNN / LSTMテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
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huggingfaceGitHubありHugging Faceあり2026-06-04
MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery
Large language model (LLM) agents are increasingly applied to long-horizon tasks such as scientific discovery
自然言語処理大規模言語モデル生成テキスト
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-06-04
Unsupervised Skill Discovery for Agentic Data Analysis
Inference-time skill augmentation provides a lightweight way to improve data-analytic agents by injecting reus
品質予測/異常検知深層学習軽量化・量子化生成教師なし
- 用途
- 生成
- 難易度
- Easy
- コスト
- Low
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huggingfaceHugging Faceあり2026-06-03
Video2LoRA: Parametric Video Internalization for Vision-Language Models
Processing video in vision-language models is expensive: each frame occupies hundreds of tokens, and inference
自然言語処理ファインチューニング要約QA画像
- 用途
- 要約
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-06-02
ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning
Large Reasoning Models (LRMs) have achieved remarkable progress thanks to Reinforcement Learning with Verifiab
深層学習Transformer強化学習
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- Low
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huggingfaceHugging Faceあり2026-06-01
LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models
Agentic language model systems alternate between two structurally distinct step types: structured tool calls (
品質予測/異常検知深層学習Transformerテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-06-01
Where Do Deep-Research Agents Go Wrong? Span-Level Error Localization in Agent Trajectories
Deep-research agents solve tasks through long trajectories of search, tool use, evidence inspection, and answe
品質予測/異常検知自然言語処理大規模言語モデル検出生成
- 用途
- 検出
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-06-01
Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
How can a population of agents self-orchestrate and self-adapt into stronger collective intelligence without c
自然言語処理ファインチューニング
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- Medium
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huggingfaceHugging Faceあり2026-05-31
Measuring the Symmetry--Data Exchange Rate
Equivariance theory predicts that an architectural symmetry prior reduces sample complexity by a factor of |G|
自然言語処理RAG
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- Low
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huggingfaceHugging Faceあり2026-05-28
Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning
We present Stable-Layers, a reinforcement learning framework that eliminates the need for paired supervision b
自然言語処理ファインチューニング画像テキストマルチモーダル
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-05-24
WorldCraft: From Camera Navigation to Object Manipulation in Interactive Video World Models
Recent video-based world models have made pixel-space environments interactive at the camera level: users can
自然言語処理ファインチューニング生成画像動画
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-05-22
SPACENUM: Revisiting Spatial Numerical Understanding in VLMs
Vision-Language Models (VLMs) are increasingly deployed in embodied environments, where they need produce nume
自然言語処理ファインチューニング画像テキストマルチモーダル
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-04-16
Is This Edit Correct? A Multi-Dimensional Benchmark for Reasoning-Aware Image Editing
Diffusion-based image editing has achieved strong visual fidelity under natural language instructions, yet mos
品質予測/異常検知深層学習軽量化・量子化画像テキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→