Newest with code · page 8
Every paper with a repository link. Each page shows two streams, newest first within each, counted separately: papers newer than the archive snapshot come from Syntology's graph Syntology; the rest are archive rows archive 2025-07-28. The two are never added together.
Newer than the archive snapshot Syntology
Cards 106–120 of 9,581 graph papers newer than 2025-07-28; this feed shows the newest 150, newest arXiv id first. Dates and the abstract sentence are from arXiv's metadata (CC0) for 9,280 of 9,581; for the other 301 the month is read from the id.
From the archive archive 2025-07-28
Cards 106–120 of 218,469 archive papers with a code link; this feed shows the newest 150, archive date first (newest archive date 2025-09-24). Within a month, dated rows come first, then the 49,179 undated rows placed by the month in their arXiv id. 4 archive rows carry a date after the snapshot and are placed by that date. 382 archive papers with neither a date nor an arXiv id cannot be placed and are not listed. 1 code-linked slug has no paper row in the archive and is not listed (so 218,469 listed + 382 unplaceable + 1 = 218,852 papers with code).
VoTranhAbyssCoreMicro and PoliticalCore: A Unified Framework for Simulating Complex Economic and Political Dynamics
The VoTranhAbyssCoreMicro framework, integrated with the PoliticalCore mod- ule, provides a robust platform for simulating complex economic and political dy- namics with a validated accuracy of 90% across multiple…
MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization
Vector Quantized Variational Autoencoders (VQ-VAEs) are fundamental models that compress continuous visual data into discrete tokens.
AI-Enhanced Pediatric Pneumonia Detection: A CNN-Based Approach Using Data Augmentation and Generative Adversarial Networks (GANs)
Pneumonia is a leading cause of mortality in children under five, requiring accurate chest X-ray diagnosis.
VST-Pose: A Velocity-Integrated Spatiotem-poral Attention Network for Human WiFi Pose Estimation
WiFi-based human pose estimation has emerged as a promising non-visual alternative approaches due to its pene-trability and privacy advantages.
Ref-Long: Benchmarking the Long-context Referencing Capability of Long-context Language Models
Long-context language models (LCLMs) have exhibited impressive capabilities in long-context understanding tasks.
Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection
In epidemic modeling, outliers can distort parameter estimation and ultimately lead to misguided public health decisions.
ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching
Generating spoken dialogue is more challenging than monologue text-to-speech (TTS) due to the need for realistic turn-taking and distinct speaker timbres.
ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark Evaluation
The remarkable representational power of Vision Transformers (ViTs) remains underutilized in few-shot image classification.
Generative Latent Kernel Modeling for Blind Motion Deblurring
Deep prior-based approaches have demonstrated remarkable success in blind motion deblurring (BMD) recently.
PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution
There has been increasing interest in the generation of high-quality, realistic synthetic medical images in recent years.
$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting
Forecasting the evolution of 3D scenes and generating unseen scenarios via occupancy-based world models offers substantial potential for addressing corner cases in autonomous driving systems.
RoHOI: Robustness Benchmark for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection is crucial for robot-human assistance, enabling context-aware support.
CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards
Recently, the role of LLM-as-judge in evaluating large language models has gained prominence.
Deep Reinforcement Learning with Gradient Eligibility Traces
Achieving fast and stable off-policy learning in deep reinforcement learning (RL) is challenging.
Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening
The increasing use of generative AI for resume screening is predicated on the assumption that it offers an unbiased alternative to biased human decision-making.
The feed is static: 10 pages of up to 15 cards per stream, rebuilt with the site. Older papers are reachable from task, dataset and method pages and from search. No repository stars are tracked and nothing here is ranked by popularity. Machine-readable twin: JSON.