arXiv:2608.08594v1 Announce Type: new Abstract: Diffusion bridge models leverage Doob’s \(h\)-transform to construct stochastic transports between…
Tag: AI
Discovering Diverse Planning Policies for Multimodal Embodied Agents with Quality-Diversity Optimization
arXiv:2608.08523v1 Announce Type: new Abstract: Multimodal embodied agents are increasingly required to solve long-horizon tasks by integrating visual…
Deep probabilistic logic programming for diagnostic reasoning from incomplete information: A case study in stroke detection
arXiv:2608.08561v1 Announce Type: new Abstract: In medical applications, raw data is frequently associated with significant privacy concerns, lending…
FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents
arXiv:2608.08570v1 Announce Type: new Abstract: Rejection sampling fine-tuning (RFT) is widely used to train code agents by generating trajectories on…
Building and Validating a Quantitative Trading Strategy with OctoBot, Walk-Forward Backtesting, Parameter Optimization, and Interactive Analysis
In this tutorial, we build a complete quantitative backtesting workflow with OctoBot and OctoBot-Script while keeping the environment isolated from…
Reproducing and Stress-Testing Two Approaches to LLM Reasoning Reliability: Test-Time Probability Aggregation and Logic-Representation Editing
arXiv:2608.08514v1 Announce Type: new Abstract: We independently reproduce two recent methods for making large language model (LLM) reasoning more…
Nvidia’s open-weight Nemotron 3.5 Lightning prioritizes speed over maximum intelligence
Nvidia’s Nemotron 3.5 Lightning is an open-weights model with just 3.6 billion active parameters that matches OpenAI’s gpt-oss-120b on the Intelligence…
VoxZip: Semantic-Anchored Temporal KV Cache Compression for Long-Context Audio Inference
arXiv:2608.08569v1 Announce Type: new Abstract: Recent advancements in Speech Large Language Models have demonstrated remarkable capabilities in…
Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding
arXiv:2608.08512v1 Announce Type: new Abstract: Evolving documents, such as laws, tax codes, and software documentation, are amended, replaced, and…
TrustRoboReward: Preference-Ordered Isotonic Score Editing for Multi-Paradigm Robot Reward Models
arXiv:2608.08491v1 Announce Type: new Abstract: Reward models are a bottleneck for reinforcement learning in embodied AI. Long-horizon robotic…