HuggingFace

Design Anything, Design at Scale

As multimodal resources are transformed into media outputs, agentic AI is expected to stay aligned with design intent...

AI 聚合
2026-10-23
HuggingFace

ToM2Vec: Continuous Theory-of-Mind Tokens for Multi-Agent Coordination

Forming an accurate theory-of-mind (ToM) is key to successful multi-agent collaboration and requires reasoning under ...

AI 聚合
2026-10-23
HuggingFace

Quant-Arena: Benchmarking LLM Agents for Quantitative Trading Research

Quantitative research is an iterative loop: a researcher proposes a market hypothesis, implements it as an executable...

AI 聚合
2026-10-23
HuggingFace

DiffResearch: Accelerating Deep Research with Diffusion Language Models

Deep research systems iteratively plan, gather evidence, synthesize, and revise, making end-to-end latency a key bott...

AI 聚合
2026-10-23
HuggingFace

Hidden Messages Between Diffusion Language Model Agents: Causal Evidence for Latent Communication

Diffusion language models form answers through a sequence of revisable continuous states, but multi-agent systems usu...

AI 聚合
2026-10-23
HuggingFace

Exploring The Empirical Privacy Landscape of Synthetic Data

Methods for training language models on sensitive data differ in how they balance capability gains against the risk o...

AI 聚合
2026-10-23
HuggingFace

RoboCasa-Shift: Stage-Aware Robustness Evaluation of Vision-Language-Action Policies in Long-Horizon Household Manipulation

Vision-language-action (VLA) robustness is commonly summarized by aggregate task success, which obscures how individu...

AI 聚合
2026-10-23
HuggingFace

Looped Uniform Diffusion Language Models

Uniform diffusion language models (UDLMs) generate text by iteratively denoising sequences of ordinary vocabulary tok...

AI 聚合
2026-10-23
HuggingFace

VerifierBench: Benchmarking the Generation of Executable Verifiers for LLM Agents

Agents need reliable ways to validate their outputs, both when completing tasks and when filtering synthetic training...

AI 聚合
2026-10-23
HuggingFace

Language Models Learn to Improve Language Models

Large language models (LLMs) are increasingly used to automate AI research, including language-model (LM) development...

AI 聚合
2026-10-23
HuggingFace

FrontierCS 2: A Benchmark for Computer Science R&D

Can LLM agents make contributions to frontier computer science R&D? We introduce FrontierCS 2, a benchmark of 48 open...

AI 聚合
2026-10-23
HuggingFace

StyleStream 2.0: Fast and Controllable Streaming Voice Style Conversion

Voice style conversion (VSC) aims to transform a source utterance to match the timbre, accent, and emotion of a targe...

AI 聚合
2026-10-23
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