arxivGitHubあり2026-06-08
INFUSER: Influence-Guided Self-Evolution Improves Reasoning
Self-evolution offers a scalable path to stronger reasoning: a pretrained language model improves itself with
機械学習教師なし学習テキスト教師なし
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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「qa」の検索結果
15 件arxivGitHubあり2026-06-07
TVI-CoT: Text-Visual Interleaved Chain-of-Thought Reasoning for Multimodal Understanding
Chain-of-thought (CoT) reasoning has proven effective for enhancing problem-solving in large language models.
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
- Hard
- コスト
- High
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arxivGitHubあり2026-06-06
Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?
Multimodal Large Language Models (MLLMs) have demonstrated remarkable success in visual understanding, yet the
説明可能品質予測/異常検知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
- Hard
- コスト
- High
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huggingfaceHugging Faceあり2026-06-05
Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors
Despite advances in 3D scene understanding, existing 3D Large Multimodal Models operate in offline settings, r
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2026-06-04
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
Answer Presence Drives RAG Rewriting Gains
Retrieval-augmented QA pipelines often route retrieved passages through an LLM rewriter before a smaller reade
品質予測/異常検知自然言語処理大規模言語モデルテキスト
- 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2026-06-03
Personal AI Agent for Camera Roll VQA
We study the personal camera roll visual question answering setting. In this setting, a conversational AI assi
深層学習軽量化・量子化QA画像テキスト
- 用途
- QA
- 難易度
- Easy
- コスト
- Medium
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huggingfaceHugging Faceあり2026-06-03
SePO: Self-Evolving Prompt Agent for System Prompt Optimization
System prompt optimization improves agent behavior without modifying the underlying model, yielding human-read
自然言語処理RAG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2026-06-03
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
MAOAM: Unified Object and Material Selection with Vision-Language Models
Selection is a core operation in interactive image editing. To be practical, a user should be able to specify
MI向き自然言語処理RAG生成セグメンテーション画像
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-06-02
MemTrain: Self-Supervised Context Memory Training
Memory is an indispensable capability for long-horizon LLM agents, enabling them to preserve and utilize infor
品質予測/異常検知自然言語処理大規模言語モデルテキスト自己教師強化学習
- 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2026-05-30
Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback
Agentic search systems iteratively interact with retrieval models to answer complex queries. Despite substanti
品質予測/異常検知自然言語処理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
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huggingfaceHugging Faceあり2026-05-30
SuperMemory-VQA: An Egocentric Visual Question-Answering Benchmark for Long-Horizon Memory
AI glasses present a compelling platform for AI agents to serve as personalized memory assistants. To be genui
深層学習Transformer分類QA画像
- 用途
- 分類
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-05-29
MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding
Multimodal Large Language Models (MLLMs) have demonstrated significant achievements in general visual question
品質予測/異常検知自然言語処理大規模言語モデル分類QA画像
- 用途
- 分類
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-05-26
Trust Region Q Adjoint Matching
Off-policy reinforcement learning of pretrained flow policies remains challenging due to the instability of op
自然言語処理RAG強化学習
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→