huggingfaceHugging Faceあり2026-09-11
Agent as Policy for Robotic Manipulation
We demonstrate that a general-purpose agent can directly drive a physical robot throughout task execution with
機械学習教師あり学習画像動画
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
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「supervised」の検索結果
15 件huggingfaceHugging Faceあり2026-09-11
MInTRL: Off-policy Intervention can boost On-policy RL
Reinforcement learning with verifiable rewards is typically performed on-policy, keeping training data close t
自然言語処理RAG生成回帰強化学習
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-09-11
StepAudio 3 Gen Technical Report
We introduce StepAudio 3 Gen, a general-purpose audio generation model that supports zero-shot text-to-speech
センサ/時系列深層学習Transformer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2026-09-10
SenseNova-U1.5: Towards Native Unified Visual Intelligence
We launch SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and gener
MI向き深層学習軽量化・量子化生成画像テキスト
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-09-10
Mi-Ripple: Restoring Images Degraded by Iterative AI Editing
Iterative reference-conditioned image editing can introduce grid-like and granular textures, commonly describe
機械学習教師あり学習生成画像テキスト
- 用途
- 生成
- 難易度
- Easy
- コスト
- Medium
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huggingfaceHugging Faceあり2026-09-09
LLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI Agents
Diffusion large language models (dLLMs) achieve high decoding efficiency through block-parallel, arbitrary-ord
自然言語処理大規模言語モデル生成テキストマルチモーダル
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-09-09
An Open Recipe for IMO Gold: Training Nemotron for Olympiad Mathematics
We study how model post-training and test-time inference design affect natural-language proof generation for h
自然言語処理ファインチューニング生成テキスト強化学習
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-09-08
Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models
Training capable cyber agents is often treated primarily as a problem of model scale, yet open-weight post-tra
自然言語処理RAGテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-09-08
Studying Image Tokenizers as Visual Languages in Unified Multimodal Models
Image tokenizers define the ``visual language'' of unified multimodal models, yet are commonly studied through
品質予測/異常検知コンピュータビジョンマルチモーダル生成画像テキスト
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-09-08
ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation
As LLMs are increasingly used for pre-submission self-review, there is growing demand for feedback that not on
品質予測/異常検知自然言語処理大規模言語モデル生成
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-09-08
SWE-Bench Pro Verified: A Reliable Benchmark for Software Engineering Agents
SWE-Bench Pro has emerged as a standard benchmark for evaluating software engineering agents on challenging re
品質予測/異常検知機械学習教師あり学習
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- Medium
→
huggingfaceHugging Faceあり2026-09-07
CARDEA: Auditable Reasoning Grounded in Spatial Evidence for End-to-End Coronary Angiography Interpretation
Invasive coronary angiography (CAG) is the gold standard for diagnosing coronary artery disease, but interpret
自然言語処理RAG分類生成画像
- 用途
- 分類
- 難易度
- Easy
- コスト
- High
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huggingfaceGitHubありHugging Faceあり2026-09-07
Revisiting Complete Reasoning Traces for Post-Training
Large language models (LLMs) are often post-trained on pre-collected reasoning trajectories to improve their r
品質予測/異常検知深層学習軽量化・量子化テキスト強化学習
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-09-06
OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolution
Recursive Super-Resolution (SR) extends fixed-scale SR to extreme magnification by repeatedly feeding predicti
品質予測/異常検知深層学習軽量化・量子化画像教師なし
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-09-05
MobileVLA-R1 2.0: RL-Enhanced Reasoning for Mobile Robot Control
Grounding natural-language instructions into reliable and executable actions remains a fundamental challenge f
自然言語処理RAG生成マルチモーダル強化学習
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
→