Extreme Event Aware ($eta$-) Learning
arXiv:2510.19161v2 Announce Type: replace Abstract: Quantifying and predicting rare and extreme events is challenging because such events are infrequent, severe, and expensive to simulate. Existing data-driven…
Papers 5621 stories
Fitted Occupancy-Ratio Evaluation without Bellman Completeness
arXiv:2607.05375v2 Announce Type: replace Abstract: Occupancy ratios correct distribution shift in offline reinforcement learning and are central to off-policy evaluation. Existing primal-dual and minimax methods typically…
OmniPhys: Knowledge-Graph-Driven Benchmarking and Collective Optimization for Physical Commonsense in Text-to-Image Generation
arXiv:2607.25641v1 Announce Type: cross Abstract: While text-to-image models exhibit remarkable visual fidelity, they frequently violate fundamental physical commonsense. Existing benchmarks often rely on coarse-grained descriptions, failing…
AGMark: Attention-Guided Dynamic Watermarking for Large Vision-Language Models
arXiv:2602.09611v2 Announce Type: replace-cross Abstract: Watermarking has emerged as a pivotal solution for content traceability and intellectual property protection in large vision language models (LVLMs). However,…
Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation
arXiv:2607.25094v1 Announce Type: new Abstract: Human language is driven by unspoken beliefs and belief updates, making these critical to model for successful communication between large language…
Faces of Fairness: Examining Bias in Facial Expression Recognition Datasets and Models
arXiv:2502.11049v3 Announce Type: replace Abstract: Automated Facial Expression Recognition (FER), involves two critical aspects: data and model design. Both significantly influence bias and fairness in FER…
IMPRINT: Image-Conditioned Query Enrichment for Long-Tail Object Goal Navigation
arXiv:2607.25106v1 Announce Type: new Abstract: Embodied AI increasingly relies on queryable semantic maps built from pre-trained vision-language models to enable zero-shot Object Goal Navigation (ObjectNav). However,…
SCOPE-FE: Structured Control of Operator and Pairwise Exploration for Feature Engineering via Quality-Aware Candidate-Space Reduction
arXiv:2604.27025v2 Announce Type: replace Abstract: Automatic feature engineering can improve predictive performance on tabular data by generating diverse feature transformations. However, the candidate space induced by…
Generalised Robust Bayes for Joint Inference of Model and Contamination
arXiv:2607.25665v1 Announce Type: cross Abstract: Generalised Bayesian inference (GBI) has emerged as a compelling robust alternative to standard Bayesian inference, mitigating sensitivity to data contamination by…
Learning from 53.6K Real-World Developer Edits of AI-Generated Code
arXiv:2607.25130v1 Announce Type: cross Abstract: Imperfections in AI-generated code require that software developers modify the generated code manually, or by re-prompting an AI programming assistant. Manual…
Right-sizing Recommendations (RSR): Cloud Workload Conformal Prediction for Virtual Machines in Data Center Operations
arXiv:2607.24773v1 Announce Type: new Abstract: Managing cloud infrastructure efficiently, especially in environments of large cloud providers or hyperscalers, requires optimizing the use of physical resources to…
CogArena: A Multimethod Evaluation of Cognitive Ability Structure in Large Language Models
arXiv:2607.24999v1 Announce Type: new Abstract: LLM cognitive scores are increasingly summarized as per-ability profiles whose dimensions should converge across tasks, respond selectively to matched interventions, and…
Depth to Anatomy: Organ Localization from Depth Images for Automated Patient Table Positioning in Radiology Workflow
arXiv:2601.18260v3 Announce Type: replace Abstract: In clinical radiology, accurate patient table positioning is essential to align specific internal organs of interest with the scanner imaging isocenter,…
Beyond Zooming: Learning Multi-Tool Visual Reasoning for Ultra-High-Resolution Remote Sensing
arXiv:2607.25993v1 Announce Type: new Abstract: Ultra-high-resolution (UHR) remote-sensing (RS) imagery provides fine-grained Earth-observation evidence over city-scale scenes, but poses a fundamental challenge for multimodal large language…
Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data
arXiv:2607.25031v1 Announce Type: cross Abstract: Clustering is a fundamental problem in statistics, with applications across many scientific disciplines. In many modern applications involving clustering, the primary…
Annotation-Assisted Learning of Treatment Policies From Multimodal Electronic Health Records
arXiv:2507.20993v4 Announce Type: replace-cross Abstract: We study how to learn treatment policies from multimodal electronic health records (EHRs) that consist of tabular data and clinical text.…
CAST: Game Solvers as Turn-Level Teachers for LLM Agents
arXiv:2607.25308v1 Announce Type: cross Abstract: Training large language models (LLMs) to act in long-horizon games is a promising step toward generalist decision-making, yet reinforcement learning with…
An Explicit Counterexample to Stanley's Rankwise Lower-Bound Conjecture for Differential Posets
arXiv:2607.22988v2 Announce Type: replace-cross Abstract: In Problem 6 of his 1988 paper on differential posets, Stanley asked for the least possible cardinality of a fixed rank…
Research Report on Noise-Shaped One-Bit Coefficients in Discrete Polynomial Fourier Extension
arXiv:2607.24868v1 Announce Type: new Abstract: This report studies noise-shaped one-bit coefficients in normalized discrete polynomial Fourier extension. For first-order Sigma-Delta quantization, the error is written as…
Analysis of the Shortcut Learning and Clever Hans Effect in CNN based ECG Image Classification
arXiv:2607.25117v1 Announce Type: cross Abstract: Deep learning models for ECG image classification may achieve high accuracy by exploiting non-physiological visual cues instead of ECG waveform morphology.…
OPERA: Offline Policy-guided Expert Routing and Adaptation for Universal Biomedical Image Analysis
arXiv:2607.25108v1 Announce Type: new Abstract: Biomedical image analysis spans diverse modalities and tasks, yet real-world deployment is hindered by severe distribution shifts across scanners, protocols, and…
Learning from the Unseen: Offline Reinforcement Learning with Hidden Actions
arXiv:2607.25241v1 Announce Type: new Abstract: Standard offline reinforcement learning (RL) algorithms typically assume that the actions in the dataset are observed without error. However, in many…
Bias-corrected Cox regression with AI-extracted covariates via calibration summary statistics
arXiv:2607.25868v1 Announce Type: cross Abstract: Large-scale observational studies increasingly rely on AI pipelines to extract structured variables from unstructured clinical records. A common workflow separates the…
Localizing Persona Representations in LLMs
arXiv:2505.24539v4 Announce Type: replace-cross Abstract: We present a study on how and where personas -- defined by distinct sets of human characteristics, values, and beliefs --…