huggingfaceHugging Faceあり2026-11-01
Advances in Agentic Computer Graphics
Computer graphics is built on code. Large language model (LLM) agents can now generate graphics code and itera
自然言語処理大規模言語モデルテキスト
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「LLM」の検索結果
41 件huggingfaceHugging Faceあり2026-11-01
CrossSWE: Benchmarking Cross-Repository Joint Development for Coding Agents
As coding agents achieve increasingly high success rates on software engineering benchmarks, recent efforts ha
自然言語処理大規模言語モデル
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huggingfaceHugging Faceあり2026-10-31
StreamDuo: A Live Commentator and a Research Agent for Unseen Games
Streaming video LLMs can now commentate live gameplay, but they are trained and tested on the same games. We s
品質予測/異常検知深層学習軽量化・量子化動画
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huggingfaceHugging Faceあり2026-10-30
DecisionRank: On-Policy Distillation for Decision-Model Rerankers
Decision models target structured tasks by directly predicting choices or scores, avoiding autoregressive deco
深層学習軽量化・量子化生成テキスト
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huggingfaceHugging Faceあり2026-10-30
DeFT-RAG: Decomposing Multi-Hop Questions into Self-Contained Sub-Questions with Reusable Answers
Retrieval-augmented generation (RAG) lets a large language model (LLM) answer questions by retrieving relevant
深層学習軽量化・量子化生成テキスト
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huggingfaceHugging Faceあり2026-10-30
TinyAstral: Transferring Self-Evolving Harnesses to Tiny Generalist Manipulation Agents
Robot agents built on vision-language models depend on both the planner and its harness: the tools, feedback,
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マルチモーダル
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huggingfaceHugging Faceあり2026-10-30
Latent Reasoning in Continuous Space for Unified Multimodal Models
Unified Multimodal Models (UMMs) achieve remarkable success on diverse multimodal understanding and generation
品質予測/異常検知自然言語処理大規模言語モデル生成画像テキスト
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huggingfaceHugging Faceあり2026-10-30
WeFair: Fidelity-Aware Alignment from Human Feedback for Personalized Query Rewriting in Short-Video Search
Short-video search needs compact query rewriters that recover users' personalized intent from ambiguous querie
自然言語処理大規模言語モデルテキスト動画
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huggingfaceHugging Faceあり2026-10-30
TurnTurk-GPT: Text-Based Turn-Taking Prediction for Turkish
This paper presents TurnTurk-GPT, a text-based turn-taking predictor for Turkish obtained by fine-tuning a Tur
自然言語処理大規模言語モデル検出テキスト音声
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huggingfaceHugging Faceあり2026-10-30
SketchDirector: Complex Scene Sketching via Agentic Layout Reasoning and Detail Refinement
Existing sketch generation methods often rely on image guidance and are largely limited to individual objects
品質予測/異常検知自然言語処理大規模言語モデル生成画像テキスト
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huggingfaceHugging Faceあり2026-10-29
Diagnosing the Reference Gap: What Visual Scaffolds Can and Cannot Fix in Multimodal Reasoning
Multimodal large language models can recognize visual content yet struggle to reason reliably over it across m
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
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huggingfaceGitHubありHugging Faceあり2026-10-29
MAServeBench: Benchmarking Multi-Agent LLM Serving Systems with Hierarchical Collaboration Workloads
Large language model (LLM)-based multi-agent systems (MAS) coordinate specialized agents to solve complex task
自然言語処理大規模言語モデルテキスト
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huggingfaceHugging Faceあり2026-10-29
CaPtain: A Pipeline for Post-Training Code-as-Policy Robot Agents
Across coding, web, and tool-use tasks, language-model agents are now routinely trained with the same recipe:
自然言語処理大規模言語モデルテキストマルチモーダル強化学習
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huggingfaceHugging Faceあり2026-10-29
On the Origin and Evolution of Training-Inference Mismatch in LLM Reinforcement Learning
On-policy reinforcement learning for large language models assumes that training responses are sampled from th
自然言語処理大規模言語モデルテキスト強化学習
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huggingfaceHugging Faceあり2026-10-29
VoxLock: Target-Speaker Extraction for Voice Agents Without an Enrollment Step
A voice agent's speech recognizer transcribes everyone near the microphone, including people other than the ca
CPUで試しやすい自然言語処理大規模言語モデル音声
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huggingfaceHugging Faceあり2026-10-29
TSFLab: A Self-Improving Agent-Agnostic Workbench for Time Series Forecasting Research
As publications and products on time series forecasting (TSF) proliferate, researchers face a growing burden o
センサ/時系列自然言語処理大規模言語モデル予測時系列
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huggingfaceHugging Faceあり2026-10-29
Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live IOS Apps
While frontier vision-language models demonstrate strong capabilities in user interface (UI) navigation, their
深層学習軽量化・量子化異常検知画像テキスト
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huggingfaceGitHubありHugging Faceあり2026-10-29
Unlocking Any-Order Generation in Pretrained Autoregressive Image Models
Autoregressive (AR) image generators are powerful in principle but inflexible in practice: training with a fix
自然言語処理大規模言語モデル生成画像
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huggingfaceGitHubありHugging Faceあり2026-10-28
Cross-Primitive Consistency in Jev
Jev enables efficient decision-making with large language models (LLMs) through typed querying primitives, all
深層学習軽量化・量子化テキスト
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huggingfaceHugging Faceあり2026-10-28
WeVisCut: The Whole Editing Room in One Agent From Narration to Long-Form Video
Producing long-form videos from narration requires interdependent decisions that remain coherent across shots.
品質予測/異常検知自然言語処理大規模言語モデル動画
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huggingfaceHugging Faceあり2026-10-28
Investor's Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future?
Financial agents must form forecasts and investment judgments from decision-time evidence, with predictions ev
品質予測/異常検知自然言語処理大規模言語モデル予測テキスト
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huggingfaceHugging Faceあり2026-10-28
AskStream: When and What to Ask Proactively under Uncertainty in Streaming Video Understanding
Recent advances in multimodal large language models have increased interest in interaction paradigms for video
自然言語処理大規模言語モデルテキスト動画マルチモーダル
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huggingfaceHugging Faceあり2026-10-28
EPSBench: Benchmarking LLM Agents for Earnings Forecasting
Quarterly earnings forecasting requires an agent to connect financial evidence to the income-statement line it
自然言語処理大規模言語モデル予測
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huggingfaceHugging Faceあり2026-10-27
Follow the Gradient: Tracing Safety Degradation Back to Training Data
Fine-tuning Large Language Models (LLMs) on instruction data can quietly erode their safety, even when no trai
深層学習Transformerテキスト
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huggingfaceHugging Faceあり2026-10-27
GEPA-Curator: Curated Learning for Self Improving Agents
Large Language Models (LLMs) are increasingly used in multi-turn agentic workloads that require sustained inte
自然言語処理大規模言語モデルテキスト
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huggingfaceHugging Faceあり2026-10-27
SciGame: Let Agents Play the Scientific Discovery Games in the Real and Counterfactual World
Large language model agents are increasingly used for scientific discovery. However, existing benchmarks mix l
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
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huggingfaceHugging Faceあり2026-10-27
SO-101 Bench: Accessible Spatial Manipulation
Low-cost arms such as the SO-101 have become the most common entry point to robot learning, yet no released po
自然言語処理大規模言語モデルテキスト
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huggingfaceHugging Faceあり2026-10-27
TAO: Tool-Aware Joint Scheduling for LLM-Based Agentic Serving
Agentic services alternate between model inference on clustered GPUs and external tools on distributed CPUs. I
自然言語処理大規模言語モデル
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huggingfaceHugging Faceあり2026-10-26
SOMA: A Benchmark for Fine-Grained Egocentric Behavior and Body-Motion Understanding
Perceiving human body motion is critical for multimodal systems that understand and assist people. Yet current
自然言語処理大規模言語モデルテキスト動画マルチモーダル
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huggingfaceHugging Faceあり2026-10-26
Co-Design Bench: Multimodal Collaborative Coding Evaluation for Agentic Models
Evaluating human-AI co-design requires testing whether coding agents can translate real users' multimodal requ
自然言語処理大規模言語モデル画像テキスト音声
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huggingfaceHugging Faceあり2026-10-26
Evaluating DeepSeek V4.1 Flash-1017 for loss of control and harmful manipulation risks
As frontier language models grow increasingly capable and autonomous, independent third-party evaluations are
自然言語処理大規模言語モデル生成テキスト
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huggingfaceHugging Faceあり2026-10-26
Instruction Capacity: Behavior and Degradation of Language Models under Controlled Load
The quality with which language models follow instructions falls as the load grows, yet there is still no quan
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
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huggingfaceHugging Faceあり2026-10-25
Broken on Arrival: Non-Functional Quantized LLM Artifacts in Public Model Registries and How to Catch Them
Developers download quantized large language models (LLMs) from public registries to run them locally. None of
深層学習軽量化・量子化テキスト
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huggingfaceHugging Faceあり2026-10-24
After One-Click Video: The Inflow of Service-Type Content, the Failure of the Recommendation Pool Mechanism, and the BoLe System
In September 2026, a new large language model was released. Soon after, a new way of making explainer videos b
自然言語処理大規模言語モデルテキスト動画
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huggingfaceHugging Faceあり2026-10-23
Advancing SVD-based LLM Compression via Layer-Wise Error Model Search
Low-rank SVD-based compression offers a powerful strategy to reduce the computational costs of LLMs. However,
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
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huggingfaceHugging Faceあり2026-10-23
A Broader Look into MLLM's Retrieval Heads
Locating relevant evidence in long inputs is a core capability of Multimodal Large Language Models. Prior stud
自然言語処理大規模言語モデル検索画像テキスト
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huggingfaceHugging Faceあり2026-10-22
VibeGame: Prompt-to-Game Development with AI-Native Engine and Self-Evolving Adversarial Agent Team
Large language model agents have enabled software development through natural-language interaction, but extend
自然言語処理大規模言語モデル画像テキスト
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huggingfaceHugging Faceあり2026-10-21
LongZero: Enhancing Long-Context Reasoning in LLMs from Zero Data
Reinforcement learning (RL) is an effective way to strengthen the long-context reasoning of large language mod
自然言語処理大規模言語モデル生成テキスト強化学習
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huggingfaceHugging Faceあり2026-10-21
CausGround: Causal Interaction Grounding for Adaptive Embodied Planning
Multimodal large language models (MLLMs) show promising reasoning capabilities, but reliable physical interact
自然言語処理大規模言語モデルテキストマルチモーダル
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huggingfaceHugging Faceあり2026-10-16
ABF-Bench: A Verifiable Benchmark for Agentic Blockchain Forensics
Blockchain forensics is adversarial and open-ended: money launderers split, swap, and bridge funds, cut their
深層学習Transformer
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huggingfaceHugging Faceあり2026-10-14
Amortizing Sequential Experimental Design in Reasoning LLMs
Despite their extensive pretraining knowledge and strong reasoning capabilities, large language models (LLMs)
自然言語処理大規模言語モデル生成テキスト
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