arXiv:2608.17379v1 Announce Type: cross Abstract: We introduce PTXBench, a benchmark for evaluating and adapting large language models (LLMs) to use…
Category: AI
Integrating Novelty and Surprise for Experience Prioritization and Exploration in Image-Based Reinforcement Learning
arXiv:2608.17373v1 Announce Type: cross Abstract: Sample efficiency is a central challenge in reinforcement learning (RL), particularly in image-based…
Inductively Scalable, Single-Step Neural Surrogates for Wave-Scattering Inverse Problems
arXiv:2608.17344v1 Announce Type: cross Abstract: Neural network surrogates are an emerging alternative to traditional electromagnetic wave simulators…
Harness Ships AI Agents to Scan, Triage, and Patch Vulnerabilities at Machine Speed
Harness, the San Francisco software-delivery platform company, launched a suite of AI security agents on August 19, 2026 — AI SAST, agentic triage and…
Fair ASR: Re-Evaluating Black-Box Jailbreaks under Shared Target-Call Budgets
arXiv:2608.17360v1 Announce Type: cross Abstract: Reliable jailbreak evaluation is essential for assessing LLM safety, but most existing studies rely…
TerraPower’s nuclear reactor has a secret weapon for powering AI data centers
TerraPower’s nuclear power plant possesses a strategic advantage over competitors, especially when chasing after data center deals.
MoFE: A Novel Mixture-of-Experts Framework with Fourier Neural Operators for Cryptocurrency Forecasting
arXiv:2608.17342v1 Announce Type: cross Abstract: Forecasting cryptocurrency prices remains a formidable challenge due to inherent non-stationarity,…
SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting
arXiv:2608.17333v1 Announce Type: cross Abstract: Modern probabilistic time-series forecasters often express uncertainty through forecast samples. While…
Learning What Not to Learn: Adversarial Disentangled Prompt Tuning for Robust Vision-Language Models
arXiv:2608.17306v1 Announce Type: cross Abstract: While adversarial prompt tuning can enhance robustness of vision-language models efficiently, we find…
ORPA: Online Residual Policy Adaptation for Robot Manipulation Control with Human Feedback
arXiv:2608.17323v1 Announce Type: cross Abstract: Robotic manipulation policies trained via imitation learning, such as Action Chunking with Transformers…