Similarity-Aware Machine Unlearning
arXiv:2608.00246v1 Announce Type: new Abstract: Machine unlearning removes the influence of user-specified training examples from a trained model, avoiding the need to retrain it from scratch.…
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Optimal Unambiguous DNFs and Alon-Saks-Seymour
arXiv:2608.02533v1 Announce Type: cross Abstract: We construct unambiguous DNFs having width $O(n)$ but $0$-certificate complexity $Omega(n^2)$. By utilizing the special structure of these DNFs, we prove…
Verifier-Induced Support Reshaping in On-Policy Optimization
arXiv:2608.00220v1 Announce Type: new Abstract: We show that on-policy reinforcement learning with verifiable rewards (RLVR) can improve the current objective while making successful behaviors for later…
Instruction-Conditioned Exploration with Asymmetric Reinforcement Learning and Self-Distillation
arXiv:2608.02087v1 Announce Type: cross Abstract: Post-training Large Language Models (LLMs) with Reinforcement Learning (RL) has become an important tool for improving model capabilities, but the LLM…
A Physics-Chemistry-Informed Neural Network (PCINN) for Real-Time Spatial-ALD Coverage Prediction and Reliable Kinetics Inversion
arXiv:2608.00212v1 Announce Type: new Abstract: Spatial atomic layer deposition (SALD) is a leading atmospheric-pressure, high-throughput route to industrial ALD, but design and control are limited by…
Priors Persist Through Suppression: A Stroop Paradigm for Lexical Override
arXiv:2606.07555v4 Announce Type: replace-cross Abstract: Glossaries, technical specifications, and system prompts routinely ask language models to use familiar words in unfamiliar ways. The instruction competes with…
AutoCause: A Python framework that automates expert decisions in environmental time-series causal discovery
arXiv:2608.00198v1 Announce Type: new Abstract: Environmental time-series causal discovery requires expert decisions about method choice, conditional-independence tests, lag horizons, sample-size adequacy, multiple-testing control, and evidence interpretation.…
A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs
arXiv:2603.07475v4 Announce Type: replace-cross Abstract: Autoregressive (AR) language models build representations incrementally via left-to-right prediction, while diffusion language models (dLLMs) are trained through full-sequence denoising. Although…
MetaRoute-Bench: Evaluating Meta-Decision Policies for Agentic Workflow Routing
arXiv:2608.00107v1 Announce Type: new Abstract: Agentic systems must repeatedly decide whether to answer directly, decompose a task, invoke a tool, execute code, delegate to a specialist,…
Progressive$^2$: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression
arXiv:2608.00129v1 Announce Type: new Abstract: Knowledge distillation (KD) is a widely utilized technique for transferring knowledge from a large model (the teacher) to a smaller model…
Rethinking Pretraining for Specialized Design Data: Evidence from the JONES-19 Cultural Design Dataset
arXiv:2608.00135v1 Announce Type: new Abstract: Design and architectural archives encode expert human knowledge in graphical formats, providing a critical testbed for design-inspired Machine Learning (ML) challenges…
Response Magnitude as a Dominant Signal for Held-Out CRISPRi Perturbation Effect Prediction
arXiv:2608.00152v1 Announce Type: new Abstract: Predicting the magnitude of a CRISPRi perturbation's transcriptomic effect on held-out target genes is an important open problem in single-cell biology.…
Leak It: A Probabilistic Approach to Training-Data Extraction from Black-Box Language Models
arXiv:2608.00144v1 Announce Type: new Abstract: Membership inference (MIA) on language models is usually summarised by an aggregate ROC-AUC, but such evaluations are confounded: model-free blind baselines…
Probabilistic Deep Learning for Drought Forecasting: Role of Internal Climate Variability
arXiv:2608.01864v1 Announce Type: cross Abstract: Predicting drought risk is essential for anticipating impacts on water resources, agriculture, ecosystems, and climate adaptation planning. Yet drought forecasts remain…
Inference-Time Policy Alignment for Fair Reinforcement Learning
arXiv:2608.00175v1 Announce Type: new Abstract: Deep reinforcement learning (RL) agents achieve strong performance by optimizing scalar reward functions. However, once deployed, the policies of these RL…
Understanding Machine Unlearning Through the Lens of Mode Connectivity
arXiv:2504.06407v2 Announce Type: replace Abstract: Machine Unlearning aims to remove undesired information from trained models without full retraining from scratch. Despite recent progress, the loss landscape…
Self-Supervised Representations for Binary Program Clustering: From Empirical Study to Retrieval-Augmented Learning
arXiv:2608.02348v1 Announce Type: cross Abstract: Malware clustering is a critical task in cybersecurity that helps discover threats and analyze evolving malware families. While self-supervised learning (SSL)…
OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents
arXiv:2605.08876v3 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly deployed as autonomous agents that execute tool-augmented, multi-step tasks, where latency is a critical factor…
AROpt: An Optimization Method for Autoregressive Time Series Forecasting
arXiv:2602.02288v3 Announce Type: replace Abstract: Current time-series forecasting models are primarily based on transformer-style neural networks. These models achieve long-term forecasting mainly by scaling up the…
From Preimage Search To Source-Grounded Feature Inversion
arXiv:2607.12526v2 Announce Type: replace Abstract: Interpreting a neural network requires understanding what its internal features extract from a particular input. Feature inversion seeks to express a…
Beyond Edge Maps: Wavelet-Domain Conditioning for Multi-Adapter Map-to-Satellite Diffusion
arXiv:2608.00083v1 Announce Type: new Abstract: Commercial mapping partnerships are often unavailable in low-resource regions, leaving satellite basemaps stale and motivating synthesis of satellite imagery from independently…
Ensemble Deep Learning Approaches for AI-Altered Video Detection
arXiv:2607.06872v2 Announce Type: replace Abstract: The increasing accessibility of artificial intelligence has led to a rapid rise in AI-generated videos, making it more difficult to distinguish…
LeapTalk: Breaking the Latency-Quality Trade-off in Talking Head Generation
arXiv:2608.00079v1 Announce Type: new Abstract: Long-form and real-time talking-head generation remains challenging due to a latency-quality trade-off: inefficient multi-step diffusion prohibits streaming generation, whereas real-time autoregressive…
AirSplat: Alignment and Rating for Robust Feed-Forward 3D Gaussian Splatting
arXiv:2603.25129v2 Announce Type: replace Abstract: While 3D Vision Foundation Models (3DVFMs) have demonstrated remarkable zero-shot capabilities in visual geometry estimation, their direct application to generalizable novel…