arXiv AI
Aug 13
REVERE: Reflective Evolving Research Engineer
arXiv:2603. 20667v2 Announce Type: replace-cross Abstract: Existing prompt-optimization techniques rely on local signals, causing poor generalization across tasks.
Benchmarks and evaluation
Leaderboards, eval harnesses and ablations — the contested business of deciding which model is actually better.
arXiv Machine Learning
Aug 13
FLARE++: Low-rank attention with dynamic attention routing
arXiv:2608. 11519v1 Announce Type: new Abstract: Full self-attention is a strong token mixer for PDE surrogates on irregular domains, but its quadratic cost limits its use on high-resolution problems.
arXiv AI
Aug 13
RoadWeaver: Large-Scale Lane-Level HD Map Generation from Scratch for Autonomous Driving Simulation
arXiv:2608. 11580v1 Announce Type: cross Abstract: Autonomous driving simulation requires diverse and scalable lane-level HD maps to support long-horizon evaluation across complex road networks.
arXiv AI
Aug 13
EvoGraph-Mem: Failure-Aware Editable Graph Memory for Long-Term Language Agents
arXiv:2608. 11248v1 Announce Type: new Abstract: Long-term memory is essential for language agents operating across extended interactions and evolving tasks.
arXiv AI
Aug 13
APEX: Adaptive Expert Prefetching for Memory-Efficient Edge MoE Inference
arXiv:2608. 11688v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) models are attractive for edge deployment because they provide high model capacity while activating only a small subset of parameters per token, improving compute efficiency.
arXiv Machine Learning
Aug 13
Dual-Primal Graph VAEs for Noisy Label Aggregation
arXiv:2608. 11473v1 Announce Type: new Abstract: Inferring the ground-truth from noisy crowdsourced labels is an important theoretical and practical problem.
arXiv Machine Learning
Aug 13
Kernel Methods for Learning Operators with Multiple Inputs and Outputs
arXiv:2608. 11831v1 Announce Type: new Abstract: Learning mappings between infinite-dimensional objects is a central challenge in scientific machine learning.
arXiv Machine Learning
Aug 13
Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation Models
arXiv:2608. 11656v1 Announce Type: new Abstract: Recent advances in EEG foundation models have demonstrated the potential of large-scale pretraining to enable generalizable neural decoding across subjects, recording environments, and datasets.
arXiv AI
Aug 13
ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation
arXiv:2411. 15122v2 Announce Type: replace-cross Abstract: AI-driven models have demonstrated significant potential in automating radiology report generation for chest X-rays.
arXiv AI
Aug 13
Herding End-to-End Autonomous Driving via Neuro-Symbolic Safety Guards
arXiv:2608. 11451v1 Announce Type: cross Abstract: Modern end-to-end driving agents can achieve high average performance yet still violate basic traffic rules that a human driver would never miss.
arXiv AI
Aug 13
CORE-3D: Context-aware Open-vocabulary Retrieval by Embeddings in 3D
arXiv:2509. 24528v4 Announce Type: replace-cross Abstract: Object retrieval from a scene has become a new trend of research due to its numerous applications.
arXiv Machine Learning
Aug 13
Local Cluster Cardinality Estimation for Adaptive Mean Shift
arXiv:2508. 12450v2 Announce Type: replace Abstract: This article presents an adaptive mean shift algorithm in which every parameter used at a point is derived from that point's own distance distribution.
arXiv Machine Learning
Aug 13
A comparison of CNN architectures for Alzheimer's disease detection in single-view MRI scans
arXiv:2608. 11762v1 Announce Type: cross Abstract: Alzheimer's disease is a leading cause of death with no cure.
arXiv Machine Learning
Aug 13
FQTree: Fine-grained Quantization and Hardware Generation of Boosted Decision Trees
arXiv:2608. 12140v1 Announce Type: cross Abstract: Boosted decision trees (BDTs) are widely used in latency-critical applications, but efficient hardware deployment remains challenging.
arXiv AI
Aug 13
SegPAR: Class-Centric Decision-Based Sparse Attack for Semantic Segmentation
arXiv:2608. 11285v1 Announce Type: cross Abstract: Despite the practical relevance of sparse decision-based black-box threats, they have received limited attention in semantic segmentation.
arXiv AI
Aug 13
LoongReflect: Boosting Long-Horizon Reflection in Search Agents via Global Perspective Distillation
arXiv:2608. 11967v1 Announce Type: cross Abstract: Large language model agents increasingly rely on long-horizon reasoning to solve complex tasks involving planning, tool use, and memory.
arXiv AI
Aug 13
Causal Agent based on Large Language Model
arXiv:2408. 06849v3 Announce Type: replace Abstract: The large language model (LLM) has achieved significant success across various domains.
arXiv AI
Aug 13
Towards Sustainable Learning in Online Education: A Reinforcement Learning Approach
arXiv:2608. 11245v1 Announce Type: new Abstract: Online education offers unprecedented scalability and accessibility to global learners from diverse backgrounds, but it often suffers from low engagement and poor long term learning effectiveness.
arXiv Machine Learning
Aug 13
ODE-Based Transformer Decoders for Iterative Sign Language Translation
arXiv:2608. 11352v1 Announce Type: cross Abstract: Sign language translation has achieved strong results with Transformer architectures, yet recent improvements largely rely on scaling model capacity at the cost of increased computation.
arXiv Machine Learning
Aug 13
Clustered Randomized Smoothing for Stochastic Prediction Functions
arXiv:2608. 12037v1 Announce Type: new Abstract: Modern stochastic predictors can model rich, multi-modal outcome distributions.