All Articles
18306 articles total
Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
Presents AIGB-Pearl, a method integrating generative planning and policy optimization to enhance auto-bidding in advertising systems.
RoboSSM: Scalable In-context Imitation Learning via State-Space Models
Introduces RoboSSM, a scalable in-context imitation learning framework for robots using state-space models (Longhorn) instead of Transformers.
MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation
Proposes MENTOR, a RL-based approach to distill tool-use capabilities from LLMs into smaller models using flexible teacher-optimized rewards.
Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models
Introduces RECAP, a replay strategy with dynamic objective reweighting to prevent capability forgetting in large reasoning models during post-training.
Bid Farewell to Seesaw: Towards Accurate Long-tail Session-based Recommendation via Dual Constraints of Hybrid Intents
Proposes the HID framework to improve long-tail session-based recommendations by reducing the noise associated with low-exposure items.
Hey, N00B, We Didn't Hire You to Complete Tasks
A discussion on the expectations for junior developers, arguing that their role is more than just completing assigned tasks.
Digital Printing of Arabic: explaining the problem
An explanation of the technical challenges involved in the digital printing of Arabic text.
He made your free video player run smoothly. Now he’s doing that for robots.
Jean-Baptiste Kempf, creator of VLC, is developing Kyber, an infrastructure layer for real-time remote device control.
A Deep Generative Model for Resting-State EEG Synthesis and Transferable Representation Learning
REST-GAN is a GAN-based framework for synthesizing resting-state EEG signals and unsupervised feature extraction.
TerraMind: Large-Scale Generative Multimodality for Earth Observation
TerraMind is an any-to-any generative multimodal foundation model designed for Earth observation geospatial data.
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
A conceptual analysis exploring the synergies between distribution shift and AI safety research.
Overcoming Labelled Data Scarcity for Defect Classification in Scanning Tunneling Microscopy
A new automated approach for segmenting STM images using few-shot and unsupervised learning to reduce the need for labeled data.
Critique of World Model
A critique of the 'World Model' concept and the proposal of a new Generative Latent Prediction (GLP) architecture for AGI.
Assessment of Personality Dimensions Across Situations in Dyadic Role-Play Scenarios
Research on how perceived personality traits in AI assistants can be predicted using acoustic and non-verbal features across different situations.
On the Limitations of Ray-Tracing for Learning-Based RF Tasks in Urban Environments
An evaluation of the limitations of ray-tracing in Sionna for learning-based RF tasks in urban environments.
Iran requires insurance on ships using Strait of Hormuz, fees likely to follow
Iran is requiring insurance for ships using the Strait of Hormuz, which is expected to lead to increased fees.
ScaleWoB: Guiding GUI Agents with Coding Agents via Large-Scale Environmental Synthesis
ScaleWoB is a framework for creating high-fidelity synthetic interactive environments to evaluate and train GUI agents across mobile, desktop, and automotive platforms.
FundaPod: A Multi-Persona Agent Pod Platform with Knowledge Graph Memory for AI-Assisted Fundamental Investment Research
FundaPod is a multi-persona agent platform designed for fundamental investment research, using a knowledge-graph memory system to surface disagreements between AI agents for human adjudication.
VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data
VitalAgent is a tool-augmented agentic framework for reactive and proactive physiological monitoring of ECG/PPG data from wearables, accompanied by the VitalBench benchmark dataset.
Science Earth: Towards A Planet-Scale Operating System for AI-Native Scientific Discovery
Science Earth proposes a planet-scale scientific runtime that allows diverse AI capabilities and lab hardware to connect and collaborate dynamically via the EACN protocol for scientific discovery.