HuggingFace

LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder

We present LightMIS, a scalable family of ultra-lightweight convolutional networks for 2D binary medical image segmen...

AI 聚合
2026-09-29
HuggingFace

Disaggregated Quantization: Specializing LLM Prefill and Decode

Prefill and decode reward different approaches to quantization: low-precision arithmetic accelerates prompt processin...

AI 聚合
2026-09-29
HuggingFace

D-JEPA: A Decision-Aligned Latent World Model

Latent world models predict the consequences of actions, but accurate prediction does not guarantee that latent dista...

AI 聚合
2026-09-29
HuggingFace

Not All Ranks Are Equal: Budget-Aware LoRA Merging Across Tasks

Merging low-rank adapters (LoRAs) promises to eliminate the overhead of swapping task-specific weights at inference t...

AI 聚合
2026-09-29
HuggingFace

TimeEvo: Failure-Driven Self-Evolution of a Time Series Agent

Time series agents answer analytical questions by calling external tools, and which tools they carry is decided by pe...

AI 聚合
2026-09-29
HuggingFace

LastOPD: Taming Collapse in Latent On-Policy Distillation

On-policy distillation (OPD) corrects a student on the responses it writes, but its signal is the teacher's next-toke...

AI 聚合
2026-09-29
arXiv

Game Arena: Strategic LLM Evaluation in Competitive Environments

We introduce Kaggle Game Arena, an open and ever-expanding platform to evaluate large language models (LLMs) through ...

AI 聚合
2026-09-28
arXiv

"AI is (not) the new...": A Diagnostic Analogy Framework for Generative AI's Cultural Impacts

Generative AI is reshaping the cultural infrastructures through which knowledge is found, synthesized, and held accou...

AI 聚合
2026-09-28
arXiv

UQ-LOB: Uncertainty-Aware Limit Order Book Mid-Price Forecasting

Forecasting short-horizon mid-price movements from limit order book (LOB) data is central to algorithmic trading, yet...

AI 聚合
2026-09-28
arXiv

Prompt Minimization: Reducing Input Redundancy Without Sacrificing Output Fidelity

Despite the growing capabilities of large language models (LLMs), prompt design remains largely heuristic and ad hoc....

AI 聚合
2026-09-28
arXiv

Evaluating Cultural Awareness of LLMs for Haitian Creole

Large language models (LLMs) exhibit substantial performance disparities between high- and low-resource languages. Be...

AI 聚合
2026-09-28
arXiv

ClearGS: Reliability-Aware Gaussian Splatting from Handheld Videos

We present ClearGS for 3D Gaussian Splatting (3DGS) from handheld videos with uneven viewpoint coverage and mixed fra...

AI 聚合
2026-09-28
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